Full ML stack for a security-critical autonomous drone platform — RAG, LLM reasoning, CV inference. Owned all MLOps on AWS with Dockerized CI/CD and automated retraining pipelines.
Production backend APIs for Zoho Payroll processing tens of millions of records in a high-availability financial system. Deep SQL optimization under transactional load.
Competitive matchmaking research system comparing 4 rating algorithms across calibration & SBMM simulation. Built directly in response to Riot Games' Senior DS (Skill & Matchmaking) role.
Behavioral segmentation + win probability modeling across pro VCT and public VALORANT cohorts. Real match data from Henrik API — not synthetic.
Agentic system translating natural language infra requirements into cloud architecture recommendations. Evaluates configs via integrated cost modeling + 50+ security rules across AWS, GCP, Azure.
Deep learning pipeline for detection and classification of riboswitches in genomic sequences. Large-scale training optimization on 64-core TPU with rigorous genomic data deduplication.
Cache-aware request routing system for multi-worker ML inference. Hash and heuristic policies benchmarked against random baseline under repeated-query workloads.
Multi-module aviation dashboard: delay forecasting, turbulence prediction, airport efficiency, airline comparison using real BTS + PIREP data. Team: Vigneshwaran Siva Sankaran, Jing Luo, Vivian Yang.