class RaulBahramzada:
role = ["AI Engineer", "Data Scientist"]
company = "Kontakt (ABC-Telecom)"
location = "Baku, Azerbaijan ๐ฆ๐ฟ"
focus = ["LLMs & RAG", "Agentic AI", "Computer Vision", "NLP", "Speech-to-Text", "Automation"]
education = "M.Sc. Business Organization & Management, UNEC"
def current_work(self):
return "Shipping production AI systems that turn raw data into decisions."I build and ship end-to-end intelligent systems: from speech-to-text pipelines and LLM-based evaluation to retrieval-augmented generation, computer vision, and multi-agent orchestration. I care equally about the model and the engineering around it: FastAPI/Node backends, Postgres + pgvector, background jobs, Docker deployments, and clean, testable code. Outside work I build native Apple apps and small products.
- ๐ญ Building production LLM, RAG, and automation systems as an AI & Automation Engineer
- ๐ง Deep interest in agentic AI, retrieval, and applied NLP for the Azerbaijani language
- ๐ฑ Exploring evaluation/observability for LLM apps and cost-aware inference
- ๐ฌ Ask me about RAG, LLM pipelines, computer vision, or automation
Languages
AI / ML & Data
Backend, Frontend & Infra
Apps I'm building right now. All are open source and in development.
| Project | What it does | Stack |
|---|---|---|
| ๐งฉ MoveMind | Self-play Q-learning that exposes per-move Q-values, replays decisions and evaluates saved policies, a fully inspectable RL system | React, TypeScript, Express |
| ๐ Face & Plate Blur | Privacy pipeline that detects and anonymizes faces and license plates in images and video with stable tracking | YOLOv8, PyTorch, OpenCV |
| ๐ฃ๏ธ Azerbaijani NLP | BERT sentiment, NER anonymization and a GPT-2 poetry model in the style of Ramiz Rรถvลษn | Transformers, PyTorch |
| ๐ ML Predictors | Baku apartment price prediction and a DNN with 96% accuracy on airline passenger satisfaction | scikit-learn, TensorFlow |
๐ข Selected professional work (production systems, private, details generalized)
| Project | What it does | Stack |
|---|---|---|
| ๐ง Multi-Channel QA Evaluation | Quality assurance for call-center, chat and social channels: audio โ transcription (WhisperX / Gemini) โ LLM scoring against per-channel rubrics, with reviewer workflows and per-run cost accounting | Next.js, Node, PostgreSQL, LLMs |
| ๐ Enterprise RAG Knowledge System | Standardized a large internal knowledge base into a citation-aware RAG format (metadata, chunking, source tracking) | RAG, Embeddings |
| ๐งฎ AI SQL Assistant | Natural-language (AZ/EN) analytics for non-technical leadership, with an intent router, fuzzy name resolution and safe SQL generation | FastAPI, React, SQLAlchemy |
| ๐ฅ HR Analytics Platform | Role-based internal dashboard with an org hierarchy tree, attendance calendars and RBAC-scoped data | React, Node, PostgreSQL |
At Kontakt, I design and ship AI systems that run in production, from raw audio and documents to dashboards people use every day. Details are generalized to respect confidentiality.
|
๐ง Speech & Conversation Analytics
๐ค RAG & AI Assistants
๐๏ธ Natural-Language Analytics
|
๐๏ธ Platform Engineering
๐ก๏ธ AI Safety & Evaluation
๐ Automation & Integrations
|
| ๐ข AI & Automation Engineer | Kontakt (ABC-Telecom) |
| ๐ M.Sc. Business Organization & Management | Azerbaijan State University of Economics (UNEC) ยท 2024โ2026 |
| ๐งช Data Scientist Program | DIV Academy ยท 2025 |
| ๐ B.Sc. Business Management | Azerbaijan State University of Economics (UNEC) ยท 2020โ2024 |
Certifications: IBM ยท Python for Data Science, AI & Development ยท DeepLearning.AI ยท AI For Everyone ยท NVIDIA ยท Fundamentals of Machine Learning
"Every dataset has a story. I build the models and the systems to tell it."
bahramzada.az ยท LinkedIn ยท Kaggle ยท Email

