Belma is available for hire

Belma Ibrahimović

Verified Expert in Engineering

Full-stack Data Scientist and Developer

Sarajevo, Federation of Bosnia and Herzegovina, Bosnia and Herzegovina

Toptal member since November 21, 2023

Expertise

Machine Learning NLP Data Analysis Data Mining Deep Learning Artificial Intelligence Data Science A/B Testing LLM Chatbot Development GPT-4 Python MacOS REST API SQL

Bio

Belma is a dedicated senior full-stack data scientist and AI expert with 8+ years of experience delivering high-impact end-to-end AI solutions across industries. Specializing in cutting-edge technologies like generative AI, LLMs, and agentic systems, she excels in natural language processing (NLP) and unlocking the potential of language data. Belma's strong communication skills and adaptability enable her to translate complex AI concepts into actionable insights, driving business value.

Portfolio

Awell Health

Generative Artificial Intelligence (GenAI), Python, LangChain, LangGraph...

Toptal

Python, Pandas, Machine Learning, CatBoost, Natural Language Processing (NLP)...

Atlantbh

Artificial Intelligence (AI), Data Analysis, Data Mining, Machine Learning...

Experience

Data Science - 8 years
Machine Learning - 8 years
Natural Language Processing (NLP) - 8 years
Artificial Intelligence (AI) - 7 years
Large Language Models (LLMs) - 3 years
AI Agents - 2 years
LangGraph - 2 years
Multi-agent Systems - 1 year

Availability

Part-time

Preferred Environment

MacOS, PyCharm

The most amazing...

...project I've worked on is a sourcing assistant consisting of NLP classifiers, ranking algorithms, and generative models enhancing recruiters' efficiency.

Work Experience

AI Lead

2023 - PRESENT

Awell Health

Worked on a multi-agent system designed to revolutionize how users interact with their data by simply asking questions in natural language, enabling them to chat with the data.
Developed multiple POCs, focusing on generative AI and Agentic systems.
Ensured that internal AI applications and user-facing AI systems fully comply with regulatory standards.

Technologies: Generative Artificial Intelligence (GenAI), Python, LangChain, LangGraph, GNU Autogen, Multi-agent Systems, Conversational Agent, Large Language Models (LLMs), FastAPI, Deep Learning, Data Analysis, Artificial Intelligence (AI), Data Mining, Machine Learning Operations (MLOps), Natural Language Toolkit (NLTK), Data Science, Machine Learning, SpaCy, CatBoost, Pandas, Retrieval-augmented Generation (RAG), ChatGPT, Google Cloud Platform (GCP), Prompt Engineering, Vector Databases, Data Modeling, Scikit-learn, Text Analytics, Data Annotation, OpenAI, LlamaIndex, Data Analytics, Data Visualization, Jupyter Notebook, Claude, OpenAI API, SQL, REST APIs, Predictive Modeling, Gemini, AI Agents, AutoGen, CrewAI, Docker, Supervised Learning, Unsupervised Learning, Fine-tuning, LoRa, AI Chatbots, Chatbots, Regression Modeling, A/B Testing, OpenAI GPT-4 API, Generative Pre-trained Transformers (GPT)

Senior Full-stack Data Scientist

2020 - 2023

Toptal

Developed over ten diverse projects, including classification, regression, ranking, and NLP systems. I leveraged both discriminative and generative learning approaches.
Collaborated with multiple stakeholders and cross-functional teams throughout the project lifecycle, handling different phases from ideation to production, delivery, and ongoing improvements.
Created Toptal's 1st data science internship program and designed a six-month learning plan with lessons, assignments, and evaluations.

Technologies: Python, Pandas, Machine Learning, CatBoost, Natural Language Processing (NLP), Google Cloud, Large Language Models (LLMs), FastAPI, Deep Learning, Data Analysis, Artificial Intelligence (AI), Data Mining, Machine Learning Operations (MLOps), Generative Artificial Intelligence (GenAI), Natural Language Toolkit (NLTK), Data Science, SpaCy, Text Classification, Hugging Face, ChatGPT, Google Cloud Platform (GCP), Prompt Engineering, Data Modeling, Scikit-learn, BERT, Text Analytics, Data Annotation, OpenAI, PyTorch, Data Analytics, Data Visualization, Jupyter Notebook, OpenAI API, SQL, REST APIs, Predictive Modeling, Docker, Supervised Learning, Unsupervised Learning, Fine-tuning, AI Chatbots, Chatbots, LangChain, Regression Modeling, A/B Testing, Generative Pre-trained Transformers (GPT)

Senior Data Scientist

2016 - 2020

Atlantbh

Developed multiple custom deep learning models for extracting business attributes from websites.
Architected an NLP hierarchical system of 70 classification models to classify several thousands of classes with different ambiguities.
Provided mentorship and guidance to interns and colleagues.

Technologies: Artificial Intelligence (AI), Data Analysis, Data Mining, Machine Learning, TensorFlow, Natural Language Processing (NLP), Amazon Web Services (AWS), Text Classification, Python, Data Science, Deep Learning, Pandas, Data Modeling, Scikit-learn, Text Analytics, Data Annotation, PyTorch, Data Analytics, Data Visualization, Jupyter Notebook, SQL, REST APIs, Predictive Modeling, Docker, Supervised Learning, Unsupervised Learning, Regression Modeling, A/B Testing

Experience

Data Extraction

https://www.placelab.com/extract

The development that I led of cutting-edge data extraction tools. I used machine learning and NLP techniques to efficiently process unstructured data from web sources and extract critical entities such as names, addresses, categories, hours of operation, contact details, and social network information. I developed several custom NLP models in classification, named entity recognition (NER), and machine translation. These models were essential for not only extracting but also standardizing data into predefined formats.

Education

2009 - 2014

Master's Degree in Control and Electronics

Faculty of Electrical Engineering, University of Sarajevo - Sarajevo, Bosnia and Herzegovina

Certifications

JANUARY 2022 - PRESENT

Data Product Manager

Udacity

SEPTEMBER 2021 - PRESENT

Machine Learning Engineering for Production (MLOps)

DeepLearning.AI

MAY 2021 - PRESENT

CertNexus Certified Ethical Emerging Technologist Specialization

Coursera

NOVEMBER 2020 - PRESENT

Natural Language Processing Specialization

Coursera

Skills

Libraries/APIs

Pandas, Natural Language Toolkit (NLTK), Scikit-learn, OpenAI API, REST APIs, SpaCy, TensorFlow, CatBoost, PyTorch

Tools

PyCharm, ChatGPT, Claude, GNU Autogen

Languages

Python, SQL

Frameworks

LangGraph, AutoGen, Flask, LlamaIndex

Platforms

MacOS, Jupyter Notebook, Google Cloud Platform (GCP), Docker, Amazon Web Services (AWS), CrewAI

Storage

Google Cloud

Other

Data Science, Machine Learning, Natural Language Processing (NLP), Deep Learning, Artificial Intelligence (AI), Data Analysis, Data Mining, LangChain, Large Language Models (LLMs), Generative Artificial Intelligence (GenAI), Text Classification, Text Analytics, Data Annotation, Data Analytics, Predictive Modeling, AI Agents, Supervised Learning, Unsupervised Learning, AI Chatbots, Chatbots, Regression Modeling, A/B Testing, OpenAI GPT-4 API, Generative Pre-trained Transformers (GPT), Machine Learning Operations (MLOps), Conversational Agent, FastAPI, Multi-agent Systems, Retrieval-augmented Generation (RAG), Hugging Face, Prompt Engineering, Vector Databases, Data Modeling, BERT, OpenAI, Data Visualization, Gemini, Fine-tuning, Signal Processing, Data Product Management, LoRa

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