AI/ML Engineering Student | Agentic Systems & RAG
Second-year Information Technology student focused on AI engineering, agentic systems, retrieval-augmented generation (RAG), and machine learning infrastructure. I build AI-powered applications and contribute to open-source Python projects, working across application logic, data processing, type systems, testing, and ML tooling.
Focus areas: Agentic workflows with LangGraph, RAG architectures, LLM applications, PyTorch, and ML systems fundamentals.
Contributing to established open-source projects across AI infrastructure, machine learning, data engineering, and developer tooling.
| Project | Contribution | Pull Request |
|---|---|---|
| LiteLLM | Contributed a Gemini thought-summary toggle; merged after maintainer review and further development | #36460 |
| dlt | Initiated a fix mapping Oracle TIMESTAMP WITH LOCAL TIME ZONE to timezone-aware metadata; extended by maintainers |
#4343 |
| qdrant-client | Fixed datetime parsing fallback for hour-only UTC offsets | #1350 |
| Presidio | Updated cryptography to address GHSA-g6cj-pr64-35w5 in the anonymizer dependency |
#2231 |
| awesome-llm-apps | Built an AI codebase migration agent using LangGraph, human-in-the-loop workflows, and parallel Send() agents |
#1059 |
| txtai | Added max pooling support | #1186 |
| datamodel-code-generator | Replaced regex-based infinity/NaN detection with AST analysis to prevent false-positive imports | #3770 |
| txtai | Converted the MUVERA algorithm from NumPy to PyTorch | #1178 |
| Haystack | Enabled mypy type checking for writer component tests | #12272 |
| Category | Technologies |
|---|---|
| Languages |    |
| Agentic AI |   |
| ML & Data |     |
| Backend & Infrastructure |    |
| Tools & Platforms |    |
Building, learning, and contributing to open source — one meaningful improvement at a time.