AI/ML Engineering Student | Agentic Systems & RAG | Open to AI/ML Internships
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 established open-source 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.
11 merged pull requests across 9 external repositories, contributing to AI infrastructure, machine learning, data engineering, security, and developer tooling.
| Project | Contributions | Merged PRs |
|---|---|---|
| LiteLLM | Gemini thought-summary toggle | #36460 |
| dlt | Oracle timezone-aware timestamp mapping | #4343 |
| Qdrant Client | Fixed UTC offset datetime parsing | #1350 |
| txtai | Added max pooling and ported MUVERA from NumPy to PyTorch | #1186 · #1178 |
| datamodel-code-generator | Improved structural handling of non-finite values | #3770 |
| Kubeflow MCP Server | Fixed TrainJob pod matching in crash-log fallback | #370 |
| OWASP OpenCRE | Allowed / in CRE names for REST and MCP lookups |
#1148 |
| TensorMap | API validation fixes and concurrent export collision prevention | #483 · #426 |
| awesome-llm-apps | LangGraph AI codebase migration agent with HITL and parallel workers | #1059 |
| Category | Technologies |
|---|---|
| Languages |    |
| Agentic AI |   |
| ML & Data |     |
| Backend & Infrastructure |    |
| Tools & Platforms |    |
Open to AI/ML engineering, LLM engineering, and agentic AI internships.