Skills

General

• Java — object-oriented programming & algorithm implementation (Path finding)
• C & Assembly — low-level programming & computer architecture fundamentals (Atmel)
• Data Structures & Algorithms — algorithm design & complexity optimization written in Python

Databases

• SQL — relational database querying, indexing & transactions
• Cloud Computing — NoSQL DBs, containerization, web deployment & distributed data processing (Docker, Nginx, PySpark on GCP)
• Advanced Databases — distributed databases & data warehouse/data lakes fundamentals

Data Science / ML

• Python — Data analysis (EDA) & Machine learning models (regression, classification, neural networks)
• Data Mining — classifier methods, anomaly detection & recommender system techniques
• Natural Language Processing — RAG pipelines, ranking experiments & LLM fundamentals (research report)
• Pattern Recognition — neural network models & GAN-based data modelling on LOB data

Backend

• TypeScript / Node.js — production APIs & ingestion services
• DynamoDB — telemetry data modelling & storage
• RDS — relational backend storage

Cloud & Infrastructure

• AWS — serverless architecture
• Terraform — infrastructure automation (CDKTF)