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Stefan Lazov
Verified Expert in Engineering
Machine Learning Engineer and Developer
Sofia, Bulgaria
Toptal member since December 10, 2021
Bio
Stefan is a machine learning engineer with around four years of experience in ML and deep learning. He has worked on various industry and research projects. Currently, Stefan is interested in working with new people and using his talent to develop applications that help people automate tasks. He also has experience in ASP.NET, ASP.NET Core, SQL, PostgreSQL, Mongo DB, Docker, and microservices.
Portfolio
Mohamed Mehdi El Ouali
Artificial Intelligence (AI), Python, Natural Language Processing (NLP)...
Bob Hewitt
Artificial Intelligence (AI), OpenAI API, API Integration, User Journeys...
Claimit Software Limited
Artificial Intelligence (AI), Natural Language Processing (NLP)...
Experience
- Machine Learning - 7 years
- OpenCV - 5 years
- Scikit-learn - 5 years
- Pandas - 5 years
- Natural Language Processing (NLP) - 5 years
- Computer Vision - 5 years
- Generative Pre-trained Transformers (GPT) - 5 years
- Deep Learning - 5 years
Preferred Environment
Visual Studio Code (VS Code), PyTorch, TensorFlow, Python, Scikit-learn, Pandas, OpenCV, Natural Language Toolkit (NLTK), SpaCy, IBM Watson Assistant
The most amazing...
...project I have worked on was AI for dental X-rays, including tooth numbering, third molar detection, and disease detection.
Work Experience
AI Engineer
2025 - 2025
Mohamed Mehdi El Ouali
- Helped the client architect find a solution to their problem, including AI and non-AI components and hosting.
- Assisted the client in storing their data on databases hosted on the cloud.
- Developed a virtual assistant for the client, building on pure large language models (LLMs) functionality.
Technologies: Artificial Intelligence (AI), Python, Natural Language Processing (NLP), Chatbots, AI Chatbots, Docker, AI Data Classification, ChatGPT Prompts, DevOps, Real World Data, NumPy
AI Product Expert & Developer
2025 - 2025
Bob Hewitt
- Built a virtual assistant for the company to help clients execute operations faster and be more informed about the processes.
- Developed a front end and hosted the virtual assistant on the cloud.
- Assisted the client in integrating large language models (LLMs) into their pipeline.
Technologies: Artificial Intelligence (AI), OpenAI API, API Integration, User Journeys, Conversational AI, AI Chatbots, Chatbot Conversation Design, Product Owner, TypeScript, OpenAI o1, Hexagonal Architecture, Test-driven Development (TDD), AI Data Classification, ChatGPT Prompts, DevOps, Real World Data, NumPy
AI Consultant
2025 - 2025
Claimit Software Limited
- Developed a system for text classification that helped the client reduce human effort.
- Built a system for image classification of documents that helped the client reduce human effort.
- Assisted the client in integrating their internal systems with large language models (LLMs).
Technologies: Artificial Intelligence (AI), Natural Language Processing (NLP), Computer Vision, OpenAI, C#, AI Data Classification, Cloud Run, ChatGPT Prompts, DevOps, Real World Data, NumPy, PostgreSQL
Machine Learning Engineer
2024 - 2024
AstroMind, Inc
- Developed an API for hosting deep learning models.
- Implemented logging and log filtering via AWE tools.
- Optimized deep learning models to run faster and save the output to storage.
Technologies: Python, Machine Learning Operations (MLOps), Large Language Model Operations (LLMOps), Machine Learning, Back-end Development, Large Language Models (LLMs), SDKs, Data Pipelines, Automation, API Integration, Data Classification, Vector Databases, Conversational AI, Test-driven Development (TDD), OpenAI o1, Hexagonal Architecture, Open Neural Network Exchange (ONNX), Low Latency, Pattern Recognition, Predictive Modeling, Agentic Frameworks, OpenAI SDK, AI Prompts, AI Data Classification, ChatGPT Prompts, DevOps, Real World Data, Roboflow, NumPy, PostgreSQL
AI Expert
2024 - 2024
Opari AG
- Leveraged LLMs to optimize the processes within the company's product.
- Performed data scraping in Python to increase the company's database.
- Wrote Go services to incorporate new functionalities within the company's product.
Technologies: Artificial Intelligence (AI), Generative Pre-trained Transformers (GPT), OpenAI GPT-4 API, OpenAI, Prompt Engineering, No-code Development, Distributed Training, Transformers, Transformer Models, Hugging Face Transformers, ChatGPT API, Algorithms, SDKs, Data Pipelines, Automation, eCommerce, API Integration, Data Classification, Conversational AI, Test-driven Development (TDD), Open Neural Network Exchange (ONNX), Low Latency, Pattern Recognition, Predictive Modeling, Agentic Frameworks, OpenAI SDK, AI Prompts, Azure Cognitive Services, AI Data Classification, ChatGPT Prompts, Gemini, DevOps, Real World Data, Roboflow, NumPy, PostgreSQL
Senior Python Developer
2023 - 2024
KBC Global Services
- Developed a whole new chatbot system for business clients.
- Integrated a chatbot with various internal banking systems containing customer data using Python, Rasa, AWS, and PostgreSQL.
- Reviewed the pull requests of more junior team members.
- Defined Python coding standards to be used within the team and mentored junior developers.
- Translated business process diagrams to chatbot dialog flows.
Technologies: Python 3, Rasa NLU, AWS IoT, Distributed Training, Transformers, Transformer Models, Hugging Face Transformers, ChatGPT API, Algorithms, Credit Cards, SDKs, Data Pipelines, Automation, API Integration, Data Classification, Conversational AI, Test-driven Development (TDD), Hexagonal Architecture, HubSpot, Open Neural Network Exchange (ONNX), Audio Streaming, Low Latency, Pattern Recognition, Predictive Modeling, Speech-to-Text (STT), Agentic AI, Agentic Frameworks, AI Prompts, AI Data Classification, DevOps, Real World Data, Roboflow, NumPy, PostgreSQL
ML Developer
2023 - 2023
Kinner Digital LLC, DBA Profluence Media
- Developed an app capable of summarising videos both visually and textually.
- Used state-of-the-art technology for text and video summarization.
- Acted as a DevOps hosting the whole app on the cloud, handling protocols, databases, virtual machines, etc, and optimizing the cost that the client pays.
Technologies: Natural Language Processing (NLP), Speech Recognition, Facial Recognition, Machine Learning, Python, Artificial Intelligence (AI), Data Loading, Variational Autoencoders (VAEs), Deep Neural Networks (DNNs), Scraping, Analytics, Full-stack, Digitization, Computer Vision, OpenCV, Facebook API, TikTok, YouTube API, Computer Vision Algorithms, FFmpeg, Data Modeling, Predictive Analytics, Regression Modeling, Advertising Technology (Adtech), Data Annotation, Text Analytics, Voice Analysis, Minimum Viable Product (MVP), OpenAI Assistants API, Artificial Neural Networks (ANN), Machine Learning Algorithms, Open-source LLMs, Open Source, Supervised Learning, Docker, AI Chatbots, Mathematics, Generative Adversarial Networks (GANs), Amazon SageMaker, SST, AWS Security Token Service (STS), Speech-to-Text (STT), OpenAI API, LangChain, LlamaIndex, Agile, Back-end Development, Large Language Model Operations (LLMOps), GitHub, Generative Pre-trained Transformer 4 (GPT-4), Distributed Training, Transformers, Transformer Models, Hugging Face Transformers, Algorithms, SDKs, Data Pipelines, Automation, eCommerce, API Integration, Data Classification, Conversational AI, Test-driven Development (TDD), Object Tracking, You Only Look Once (YOLO), Open Neural Network Exchange (ONNX), Whisper, Audio Streaming, Low Latency, Pattern Recognition, Predictive Modeling, OpenAI SDK, AI Prompts, AI Data Classification, ElevenLabs Solutions, Gemini, DevOps, DeepSpeech, Real World Data, NumPy
Senior AI Engineer
2022 - 2022
Curie Vision
- Developed and deployed a system for converting 360 views of objects to 3D models by using AI.
- Communicated the output of my work directly with company management. Managed between one to five company staff members at different periods.
- Worked with the AWS cloud environment to train deep learning models, deploy the system, and store the information in databases and S3 buckets.
Technologies: PyTorch, Python 3, ARKit, Microservices, MongoDB, Amazon Web Services (AWS), Amazon S3 (AWS S3), Computer Vision Algorithms, AI Design, Video Processing, Machine Learning, Machine Learning Operations (MLOps), Datasets, APIs, REST APIs, Image Processing, AI Programming, Image Generation, Artificial Intelligence (AI), Early-stage Startups, Full-stack Development, Convolutional Neural Networks (CNNs), Image Recognition, Frameworks, Data Science, Back-end, Data Analytics, Analytics, Data Manipulation, Tableau, Statistical Analysis, Data Analysis, ETL, MySQL, Generative Artificial Intelligence (GenAI), Language Models, Prompt Engineering, OpenAI GPT-3 API, TensorFlow Deep Learning Library (TFLearn), Data Versioning, Web Scraping, Software Development, Image Analysis, Big Data, Data Scraping, Time Series, Data Modeling, Predictive Analytics, Regression Modeling, Advertising Technology (Adtech), Data Annotation, BERT, Minimum Viable Product (MVP), FastAPI, Artificial Neural Networks (ANN), Machine Learning Algorithms, Open-source LLMs, Open Source, Supervised Learning, Optical Character Recognition (OCR), iOS, Docker, Mathematics, Multimodal Models, Generative Adversarial Networks (GANs), Amazon SageMaker, Node.js, SST, AWS Security Token Service (STS), OpenAI API, Hugging Face, Agile, Back-end Development, Large Language Model Operations (LLMOps), GitHub, Distributed Training, Transformers, Transformer Models, Hugging Face Transformers, Algorithms, SDKs, Data Pipelines, Automation, API Integration, Data Classification, Conversational AI, Test-driven Development (TDD), Object Tracking, You Only Look Once (YOLO), Kalman Filtering, Audio Streaming, Low Latency, Pattern Recognition, Predictive Modeling, AI Data Classification, 3D Graphics, DevOps, Real World Data, Image Segmentation, Detectron2, NumPy, PostgreSQL
Senior NLP Engineer
2021 - 2022
Ontotext
- Developed and deployed a model for extracting relations between biomedical entities.
- Pre-processed a large number of biomedical documents for training the models.
- Communicated the result to both the internal management and the clients.
Technologies: PyTorch, Python 3, Java, Pandas, Scikit-learn, MongoDB, AI Design, Machine Learning, Machine Learning Operations (MLOps), Datasets, APIs, Large Language Models (LLMs), REST APIs, AI Programming, OpenAI GPT-4 API, Support Vector Machines (SVM), ChatGPT, Artificial Intelligence (AI), Frameworks, Data Science, Back-end, Data Analytics, Analytics, Data Manipulation, Statistical Analysis, Data Analysis, ETL, MySQL, Generative Artificial Intelligence (GenAI), Language Models, Prompt Engineering, OpenAI GPT-3 API, Databricks, TensorFlow Deep Learning Library (TFLearn), Data Versioning, Web Scraping, Software Development, Big Data, Data Scraping, Time Series, Amazon Web Services (AWS), Speech-to-Text (STT), Data Modeling, Predictive Analytics, Regression Modeling, Named-entity Recognition (NER), Data Annotation, BERT, Text Analytics, Minimum Viable Product (MVP), FastAPI, OpenAI Assistants API, Artificial Neural Networks (ANN), Biomedical Products, Clinical Trials, Machine Learning Algorithms, Open-source LLMs, Open Source, Supervised Learning, Optical Character Recognition (OCR), Docker, AI Chatbots, Mathematics, Multimodal Models, Generative Adversarial Networks (GANs), Amazon SageMaker, SST, AWS Security Token Service (STS), Document Processing, Hugging Face, Agile, Back-end Development, Dialogflow, GitHub, Generative Pre-trained Transformer 4 (GPT-4), Distributed Training, Transformers, Algorithms, SDKs, Data Pipelines, Automation, API Integration, Data Classification, Conversational AI, Test-driven Development (TDD), Hexagonal Architecture, HubSpot, Object Tracking, Open Neural Network Exchange (ONNX), Low Latency, Predictive Modeling, Agentic Frameworks, Graph Databases, GraphRAG, Biology, Genomics, AI Data Classification, LangGraph, DevOps, Electronic Medical Records (EMR), Healthcare Data Science, Real World Data, Biostatistics, Epidemiology, NumPy, PostgreSQL
Chief Executing Officer
2021 - 2022
Miracle Star LTD
- Established the company with the idea of working on ML-related projects for various clients. I looked for, approached, and presented the offerings of my company to potential clients and partners.
- Acted as a deep learning engineer for a client in the USA. My job was to design and develop deep learning models for dental X-ray images. I worked on tooth numbering, thing molar detection, and establishing data annotation guidelines.
- Signed and managed contracts and company expenses. Hired an accountant to handle tax-related responsibilities.
Technologies: PyTorch, Computer Vision, OpenCV, Deep Learning, Team Leadership, Artificial Intelligence (AI), Object Detection, Machine Learning, Datasets, APIs, REST APIs, Image Processing, Anomaly Detection, AI Programming, Google Cloud, Early-stage Startups, Convolutional Neural Networks (CNNs), Image Recognition, Support Vector Machines (SVM), Frameworks, Data Science, Back-end, Data Analytics, Analytics, Data Manipulation, Statistical Analysis, Data Analysis, ETL, MySQL, Generative Artificial Intelligence (GenAI), Language Models, Prompt Engineering, OpenAI GPT-3 API, TensorFlow Deep Learning Library (TFLearn), Data Versioning, Web Scraping, Software Development, Forecasting, Image Analysis, Big Data, Data Scraping, Time Series, Amazon Web Services (AWS), Data Modeling, Predictive Analytics, Regression Modeling, Data Annotation, BERT, Text Analytics, Minimum Viable Product (MVP), FastAPI, Electronic Health Records (EHR), Artificial Neural Networks (ANN), Biomedical Products, Clinical Trials, Machine Learning Algorithms, Open Source, Supervised Learning, Optical Character Recognition (OCR), Docker, AI Chatbots, Multimodal Models, Generative Adversarial Networks (GANs), Amazon SageMaker, SST, AWS Security Token Service (STS), Document Processing, Hugging Face, Agile, Back-end Development, Dialogflow, GitHub, Transformers, Algorithms, SDKs, Automation, API Integration, Medical Imaging, Conversational AI, Test-driven Development (TDD), Hexagonal Architecture, HubSpot, You Only Look Once (YOLO), Kalman Filtering, Open Neural Network Exchange (ONNX), Low Latency, Predictive Modeling, Agentic AI, AI Data Classification, DevOps, Electronic Medical Records (EMR), Healthcare Data Science, Real World Data, Image Segmentation, Detectron2, NumPy, PostgreSQL, CTO
Machine Learning Team Lead
2019 - 2020
Ablera
- Worked on a virtual assistant for automating insurance company's operations. My job included learning and implementing some of the methodologies used for training IBM Watson Assistant. For some period I also led a team of three working on the project.
- Served as a co-owner in this company and aside from my engineering duties I worked on recruitment, delivering product presentations for clients, and handling internal team conflicts.
- Worked on a deep learning-driven system for car damage detection. I led a team of three engineers and my job was not only to lead the team but also to design and partially develop the experiments which we conducted.
Technologies: PyTorch, Deep Learning, OpenCV, Computer Vision, Team Leadership, Artificial Intelligence (AI), Computer Vision Algorithms, AI Design, Object Detection, Chatbots, Chatbot Conversation Design, Machine Learning, Machine Learning Operations (MLOps), Generative Models, Datasets, APIs, REST APIs, Image Processing, Anomaly Detection, AI Programming, Image Generation, Google Cloud, Early-stage Startups, Full-stack Development, Convolutional Neural Networks (CNNs), Image Recognition, Support Vector Machines (SVM), Frameworks, Data Science, Back-end, Data Analytics, Analytics, Data Manipulation, Statistical Analysis, Data Analysis, ETL, MySQL, Generative Artificial Intelligence (GenAI), Language Models, Prompt Engineering, TensorFlow Deep Learning Library (TFLearn), Azure Machine Learning, Web Scraping, Software Development, Forecasting, Image Analysis, Big Data, Data Scraping, Time Series, Amazon Web Services (AWS), Speech-to-Text (STT), Data Modeling, Predictive Analytics, Regression Modeling, Marketing Mix Modeling, Named-entity Recognition (NER), Data Annotation, Text Analytics, Voice Analysis, Speech Analytics, Minimum Viable Product (MVP), Azure AI Studio, FastAPI, Artificial Neural Networks (ANN), Machine Learning Algorithms, Open Source, Retrieval-augmented Generation (RAG), Supervised Learning, CSS, HTML, Docker, AI Chatbots, Multimodal Models, Generative Adversarial Networks (GANs), Amazon SageMaker, AWS Security Token Service (STS), Document Processing, Agile, Back-end Development, Dialogflow, GitHub, Algorithms, SDKs, Automation, API Integration, Vector Databases, Product Owner, Test-driven Development (TDD), User Journeys, HubSpot, You Only Look Once (YOLO), Kalman Filtering, Open Neural Network Exchange (ONNX), Low Latency, Twilio API, Agentic AI, Agentic Frameworks, Kubernetes, AI Data Classification, Google Cloud Platform (GCP), DevOps, Real World Data, Image Segmentation, NumPy, PostgreSQL, CTO, Smart Cities, Smart City Technology
Deep Learning Engineer
2017 - 2019
Centroida
- Researched techniques for generating adversarial samples for 'fooling' computer vision model. I implemented state-of-the-art techniques and indeed crafted adversarial samples.
- Designed and developed a deep learning model for keyword extraction on a project for clustering and topic extraction from newspaper articles.
- Worked on a project for a system that can do Twitter sentiment analysis. My responsibilities included designing and developing the deep learning sentiment analysis model and working on the result visualization dashboard, where we used Kibana.
- Designed a deep learning-driven face detection model on a system for video surveillance.
Technologies: TensorFlow, Keras, OpenCV, Natural Language Toolkit (NLTK), SpaCy, Python, Deep Learning, Machine Learning, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Sentiment Analysis, Team Leadership, Artificial Intelligence (AI), Computer Vision Algorithms, AI Design, Video Processing, Object Detection, Datasets, REST APIs, Image Processing, AI Programming, Early-stage Startups, Convolutional Neural Networks (CNNs), Image Recognition, Support Vector Machines (SVM), Frameworks, Azure, Data Analytics, Analytics, Data Manipulation, Statistical Analysis, Data Analysis, ETL, Generative Artificial Intelligence (GenAI), Language Models, Web Scraping, Software Development, Forecasting, Image Analysis, Big Data, Data Scraping, Time Series, Pricing, Amazon Web Services (AWS), Data Modeling, Predictive Analytics, Regression Modeling, Advertising Technology (Adtech), Named-entity Recognition (NER), Data Annotation, Minimum Viable Product (MVP), Artificial Neural Networks (ANN), Machine Learning Algorithms, Open Source, Supervised Learning, CSS, HTML, Docker, AI Chatbots, Multimodal Models, Generative Adversarial Networks (GANs), Amazon SageMaker, Agile, Back-end Development, GitHub, Algorithms, SDKs, TypeScript, Automation, API Integration, Test-driven Development (TDD), You Only Look Once (YOLO), Image Segmentation, NumPy, PostgreSQL
Back-end Engineer
2015 - 2017
Centroida
- Worked on the development of a property management system. I was responsible for developing the back end for various product features and exposing those functionalities via an API.
- Developed a course registration system. I directly communicated with the client, and gathered requirements, designed the architecture of the product, defined and assigned tasks for other engineers.
- Worked on a project related to a new cryptocurrency exchange-like platform. I was not involved in the development of the blockchain functionalities but in the development of various modules such as user authentication.
Technologies: ASP.NET, SQL, ASP.NET Core, Web API, APIs, JavaScript, REST APIs, Early-stage Startups, Full-stack Development, Azure, Back-end, Web Scraping, Software Development, Predictive Analytics, Minimum Viable Product (MVP), Open Source, Back-end Development, GitHub, Algorithms, SDKs, Automation, API Integration, User Journeys, Twilio API
Experience
Is Sparse Attention More Interpretable?
https://arxiv.org/abs/2106.01087I participated in the research and co-authored an academic article on the topic of using Sparse attention mechanisms for increasing the interpretability of deep learning models for NLP. The article was then published at the prestigious ACL conference.
Face Detection and Identification from Surveillance Cameras
https://www.youtube.com/watch?v=6LmT9icwgb8Deep Learning models for doing face detection and identification based on surveillance cameras. I have developed those together with one more ML engineer that was my intern at that time (I was a senior engineer). My job was to find relevant academic publications and experiment with different solutions. In the end, we produced a system that was able to accurately detect faces and search for the people in a database of individuals.
Demo:
https://www.youtube.com/watch?v=HPOWDhau_bY
Demo:
https://www.youtube.com/watch?v=HPOWDhau_bY
Twitter Sentiment Analysis
https://www.youtube.com/watch?v=WHfdpzqaUI4&t=124sA deep-learning-based system for real-time Twitter sentiment analysis. The system retrieved, analyzed the sentiment, and presented a report based on all tweets in a given time period containing a specific hashtag. My job was to develop a deep-learning model for Twitter sentiment analysis. I managed to achieve state-of-art results. I was also tasked to produce the automatic report based on Kibana.
Demo
https://www.youtube.com/watch?v=WHfdpzqaUI4&t=124s
Demo
https://www.youtube.com/watch?v=WHfdpzqaUI4&t=124s
Education
2019 - 2020
Master's Degree in Computer Science
University of Cambridge - Cambridge, United Kingdom
2015 - 2019
Bachelor's Degree in Mathematics and Computer Science
American University, Bulgaria - Blagoevgrad, Bulgaria
Skills
Libraries/APIs
PyTorch, Scikit-learn, Pandas, OpenCV, Natural Language Toolkit (NLTK), REST APIs, TensorFlow Deep Learning Library (TFLearn), OpenAI Assistants API, OpenAI API, Hugging Face Transformers, Twilio API, NumPy, TensorFlow, SpaCy, Web API, Node.js, React, Keras, Facebook API, YouTube API, FFmpeg, Rasa NLU, Azure Cognitive Services, DeepSpeech
Tools
ChatGPT, Named-entity Recognition (NER), Amazon SageMaker, GitHub, OpenAI o1, You Only Look Once (YOLO), Open Neural Network Exchange (ONNX), AI Prompts, Azure Machine Learning, Dialogflow, Whisper, GraphRAG, Kibana, Tableau
Languages
Python, CSS, HTML, SQL, JavaScript, R, TypeScript, Python 3, Java, C++, C#
Frameworks
SST, LlamaIndex, Agentic Frameworks, LangGraph, ASP.NET, ASP.NET Core, ARKit
Paradigms
Anomaly Detection, ETL, Agile, Automation, Test-driven Development (TDD), DevOps, Microservices
Platforms
Amazon Web Services (AWS), Docker, AWS Security Token Service (STS), HubSpot, Visual Studio Code (VS Code), Azure, Databricks, Azure AI Studio, iOS, Google Cloud Platform (GCP), AWS IoT, Kubernetes, Cloud Run
Storage
MySQL, Data Pipelines, Graph Databases, PostgreSQL, Databases, MongoDB, Amazon S3 (AWS S3), Google Cloud, Elasticsearch
Other
Natural Language Processing (NLP), Machine Learning, Natural Language Generation (NLG), Sentiment Analysis, Deep Learning, Research, Calculus, Linear Algebra, Computer Vision, Artificial Intelligence (AI), Computer Vision Algorithms, AI Design, Video Processing, Object Detection, Chatbots, Chatbot Conversation Design, Machine Learning Operations (MLOps), Datasets, APIs, Large Language Models (LLMs), Image Processing, AI Programming, Early-stage Startups, Image Generation, Full-stack Development, Generative Pre-trained Transformers (GPT), Convolutional Neural Networks (CNNs), Image Recognition, Support Vector Machines (SVM), Frameworks, Data Science, Back-end, Data Analytics, Analytics, Data Manipulation, Statistical Analysis, Data Analysis, Generative Artificial Intelligence (GenAI), Language Models, Prompt Engineering, OpenAI GPT-3 API, Data Versioning, Web Scraping, Recommendation Systems, Software Development, Forecasting, Image Analysis, Big Data, Data Scraping, Time Series, Data Modeling, Predictive Analytics, Regression Modeling, Data Annotation, BERT, Text Analytics, Minimum Viable Product (MVP), FastAPI, Artificial Neural Networks (ANN), Biomedical Products, Machine Learning Algorithms, Open-source LLMs, Open Source, Retrieval-augmented Generation (RAG), Supervised Learning, Optical Character Recognition (OCR), AI Chatbots, AI Agents, Mathematics, Statistics, Multimodal Models, Generative Adversarial Networks (GANs), Text-to-Speech (TTS), Document Processing, Hugging Face, Back-end Development, Generative Pre-trained Transformer 4 (GPT-4), Distributed Training, Transformers, Transformer Models, ChatGPT API, Algorithms, Credit Cards, SDKs, eCommerce, API Integration, Medical Imaging, Data Classification, Vector Databases, Conversational AI, Product Owner, User Journeys, Hexagonal Architecture, Object Tracking, Kalman Filtering, Audio Streaming, Low Latency, Pattern Recognition, Predictive Modeling, Agentic AI, OpenAI SDK, Biology, AI Data Classification, ChatGPT Prompts, Healthcare Data Science, Real World Data, Roboflow, Image Segmentation, Detectron2, CTO, IBM Watson Assistant, Analysis, Linguistics, Abstract Algebra, Facial Recognition, Signal Processing, Generative Models, Generative Pre-trained Transformer 3 (GPT-3), OpenAI GPT-4 API, OpenAI, Pgvector, Pricing, Marketing Mix Modeling, Advertising Technology (Adtech), Voice Analysis, Speech Analytics, Electronic Health Records (EHR), Clinical Trials, Graph Neural Networks (GNNs), Multi-agent Systems, Collaborative AI, LangChain, Large Language Model Operations (LLMOps), Genomics, Gemini, 3D Graphics, Electronic Medical Records (EMR), Biostatistics, Epidemiology, Smart Cities, Smart City Technology, Natural Language Understanding (NLU), Team Leadership, Transportation & Logistics, Speech-to-Text (STT), Speech Recognition, Data Loading, Variational Autoencoders (VAEs), Deep Neural Networks (DNNs), Scraping, Full-stack, Digitization, TikTok, Neuro-symbolic AI, No-code Development, PG Vector, ElevenLabs Solutions, Game Development
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