Lazar Stamenkovic
Verified Expert in Engineering
Machine Learning Developer
Lazar is a machine learning engineer with four years of professional experience. He is enthusiastic about building AI-based solutions, from development to deployment. He's acquired strong skills in coding and algorithms by participating in various programming competitions and working in the industry. Lazar has experience working in both companies' and universities' research teams, and he always endeavors to contribute with his knowledge and ideas.
Portfolio
Experience
Availability
Preferred Environment
Linux, PyCharm, Slack, Skype, GitHub
The most amazing...
...project I've proposed and developed is a question-answering system that had better performance than the company's previous approach.
Work Experience
Machine Learning Engineer
United Cloud
- Collected, analyzed, and generated large datasets for image and video processing tasks like channel logo detection and fingerprint recognition.
- Developed deep learning solutions for the mentioned tasks that speed up the entire system more than 100 times versus previous company approaches.
- Collaborated on a project for human detection and segmentation.
- Served production-ready solutions using a FastAPI Python framework, Apache Kafka, the Tensor RT deep learning inference engine, and Docker.
- Cooperated on semantic video segmentation and event localization, from research to development.
Machine Learning Engineer
Zucchabar Inc.
- Developed and proposed a new approach for question-answering that outperformed the company's previous one.
- Collected the data and developed a model that recommended study groups for users based on their biography and interests.
- Worked with other team members on the system for students assessment, including questions' generation from the completed course.
Junior Machine Learning Engineer
Zucchabar Inc.
- Developed an algorithm for text classification which assigns the tree of topics to a given text.
- Created a project template for deploying machine learning models using Flask and Flask-RESTPlus. The entire deploying flow was unified and speeded up.
- Built the annotation and testing tool using Flask, Vue.js, and MongoDB.
Junior Software Engineer
Freelance
- Implemented CRUD API endpoints using Flask and SQLAlchemy.
- Created new UI components, integrated the Vuex store, and implemented API calls in Vue.js.
- Scraped web resources using Python programming language and libraries such as Scrapy and Selenium.
Experience
Codiss.Ai
• A RESTful FastAPI application.
• A UI Vue.js application.
• A search engine implemented by a vectors' similarity search and text embedding DL model.
• A Chrome extension that enables a more effortless saving of code snippets.
Codiss.Ai is a personal project.
Optimization of a Health-service Schedule
The research paper presented at the ICIST 2020—10th International Conference on Information Society and Technology— at Kopaonik, Serbia, to which I've contributed, is available in the link above.
Herbs Classification
Herbs Classification is a faculty project of mine.
Education
Master's Degree in Software Engineering
Faculty of Sciences and Mathematics - Nis, Serbia
Bachelor's Degree in Computer Science
Faculty of Sciences and Mathematics - Nis, Serbia
Certifications
Build a Back-end REST API with Python and Django – Advanced
Udemy
Skills
Libraries/APIs
TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Vue, SpaCy, Vuex, Flask-RESTful, PyTorch, OpenCV, Matplotlib, REST APIs
Tools
Git, Jupyter, PyCharm, Slack, Skype, GitHub, Named-entity Recognition (NER), Docker Compose
Languages
Python, Python 3, C++, JavaScript, SQL, Java, R, C#
Frameworks
Flask, Vuetify, Django, Selenium, Windows Presentation Foundation (WPF)
Platforms
Linux, Docker, Apache Kafka, Amazon Web Services (AWS)
Storage
MySQL, MongoDB, PostgreSQL, Amazon S3 (AWS S3)
Other
Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing (NLP), Algorithms, Text Embedding, Logistic Regression, Convolutional Neural Networks (CNN), Deep Neural Networks, Recurrent Neural Networks (RNNs), Transformers, Neural Networks, GPT, Generative Pre-trained Transformers (GPT), Computer Vision, FastAPI, Image Recognition, Video Processing, Natural Language Understanding (NLU), Natural Language Generation (NLG), Search Engines, Image Processing, APIs, Web Scraping, Data Visualization, Supervised Learning, Unsupervised Learning, Text Classification, Sentiment Analysis, Image Analysis, Recommendation Systems, Web Crawlers
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