Hi, I'm Aditya.
Computer science senior at the University of Michigan. I care about building AI products people actually want to use.
Open to full-time opportunities starting May 2027
Experience & Projects
EXPERIENCE
CodeRabbit
Software Engineer Intern, Applied AI
Developed systems for model evaluation, cross-repository context, model deployment, and prompt optimization.
The system combines import graphs, SBOM data, architecture signals, and confidence ranking to identify related repositories.
ReferenceCodeRabbit engineering article on automatic repository linking ↗
Nipun Capital
Quantitative Developer Intern
Developed market-data pipelines, internal applications, caching systems, and real-time financial workflows.
- 20% reduction in dashboard load time
- Automated daily market-data ingestion
- Python and JavaScript financial applications
PROJECTS AND LEADERSHIP
CodeRift
Repository-aware AI code review
Designed and built an AI code-review system that retrieves repository-wide context from AST-derived call graphs.
- Graph RAG over AST-derived call graphs
- Repository-wide dependency context
- Dual Reviewer and Auditor architecture
Changed files connect to related functions and dependencies through AST-derived call graphs.
Michigan Data Science Team
Project Lead, LLM App Development
Led an applied LLM development group and taught retrieval, embeddings, function calling, and agent workflows.
- 45+ members
- Retrieval and embeddings
- Function calling and agents
- Best Presentation Award
Technical skills
- LLM evaluation
- Eval-harness design
- Graph RAG architecture
- Multi-agent pipelines
- Agentic workflows
- Prompt optimization
- Cost and latency optimization
Contact
Always happy to connect, feel free to reach out.