DMD Compiler Architecture

• Optimized compiler maintainability by contributing 15+ PRs (5 merged) to the DMD compiler, decoupling semantic analysis from AST nodes and reducing circular dependencies.
• Proposed an architectural refactor to separate semantic routines from AST nodes to enable "DMD-as-a-Library" and reduce compilation overhead.
• Engineered a fully automated CI/CD benchmarking pipeline using GitHub Actions and PostgreSQL to track spatial and temporal performance regressions.

Proposal: Aditya Singh Dlang Project Proposal 1.pdf • Aditya Singh Dlang Project Proposal 2.pdf

PRs: #22618 • #22597 • #22521 • #22405 • #22359 • #22358 • #22338 • #22306 • #22302 • #22286 • #22233 • #22226

LLM Data Pipelines

• Automated an LLM-assisted PDF extraction pipeline, structuring 10+ agronomic data types into BETYdb-compatible schemas using LangChain and Pydantic.
• Architected a decoupled, two-layer multi-agent architecture (Intermediate Representation and Materialization) to extract agronomic experiments from scientific literature.
• Developed a Scientist-in-the-Loop Streamlit UI for data review and validation.

Proposal: Aditya Singh PEcAn Project Proposal.pdf

Compiler Robustness

• Contributed 4+ PRs to LFortran, resolving parser/tokenizer edge cases and debugging ASR layer mismatches to enhance compiler robustness
• Addressed edge cases focusing on complex FORMAT strings and escaped quotes

LFX Mentorship

Selected as a mentee under the Linux Foundation (LFX) Mentorship program to work within enterprise-grade open-source infrastructure.

Real-Time Voice Interaction Platform

A vector similarity search engine, built from the ground up. Brute-force, IVF, and HNSW nearest-neighbor indexes implemented in C++ - not wrapped around FAISS or any existing library - and benchmarked against a brute-force oracle at dataset sizes up to 1,000,000 vectors.

GitHub Vector Search & Analysis

GitBrain AI is an AI-powered GitHub code intelligence platform that enables developers to search, understand, and interact with large repositories using natural language. It combines RAG, vector search, semantic code indexing, and real-time collaboration to make navigating million-line codebases fast and intuitive.

Real-Time Voice Interaction Platform

AI Interviewer is a real-time mock interview platform that conducts technical interviews using Vapi voice agents. It simulates human-like interview conversations, generates adaptive follow-up questions, evaluates candidate responses, and provides instant AI-powered feedback to help users prepare for software engineering interviews.