DS/AI/ML Engineer with a track record of building and shipping intelligent systems across diverse domains — from defense-grade autonomous drones to healthcare imaging agents and game analytics platforms.
My work spans agentic AI, LLM orchestration, statistical experimentation, and production ML pipelines. I thrive at the intersection of rigorous data science and real-world engineering — building systems that reason, adapt, and scale.
Currently pursuing an M.S. in Business Analytics at UCSD, with a focus on Machine Learning, Agentic AI Systems, and Data-Driven Decision Systems.
name : "Vigneshwaran Siva Sankaran"
role : "DS & ML Engineer"
location : "La Jolla, CA"
stack : ["Python", "PyTorch", "LangChain", "Spark", "AWS"]
available : true
focus : "ML, Agentic AI & Data Science"
ML & AI
Data Science & Engineering
Infrastructure
| ID | Project | Type |
|---|---|---|
| P-001 | AI-IaSS — Agentic infra optimization, 20–30% cost reduction · Hackathon Winner [GitHub] | HACKATHON |
| P-002 | Cache-Aware Routing — 12.6× latency improvement for distributed ML inference | RESEARCH |
| P-003 | RiboSense — 150% throughput increase on 64-core TPU, 0.98 AUC-ROC [GitHub] | RESEARCH |
| P-004 | Skill Rating System — Elo/Glicko-2 with A/B experimentation on 10K+ matches [GitHub] | PROJECT |
| P-005 | VALORANT Player Intelligence — Segmentation & outcome modeling [GitHub] | PROJECT |
| P-006 | LungeScape AI — 4-agent medical imaging system · Hackathon Finalist | HACKATHON |
don't judge me




