Summary
Shankar S is a software engineer with 9 years of experience blending machine learning research and production engineering, currently shaping modern recommendation systems and LLM-driven solutions at Meta. He holds a near-perfect MS in Computer Science from UIUC and has a track record building agentic AI workflows, scalable RAG systems, and multimodal visual pipelines at Tesla, Big Sur AI, and in academic projects. Notable achievements include an 83% latency reduction via an SSE streaming microservice, a 2x semantic-search improvement for visual queries, and a 94% accuracy misinformation detector deployed as a Chrome extension. Comfortable across backend systems, ML model engineering, and frontend integrations, he bridges research and product delivery and has submitted work to NeurIPS 2025. Based in Champaign, IL, he explores AR/VR and generative AI in his portfolio, signaling a curiosity for emerging interfaces beyond core ML systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science and Engineering, 9.27/10.0, Bachelor of Engineering - BE, Computer Science and Engineering, 9.27/10.0 at College of Engineering, Guindy
Master's degree, Computer Science, 3.96/4.0, Master's degree, Computer Science, 3.96/4.0 at University of Illinois Urbana-Champaign
SBOA School & Junior College