On pre-rendering, zero-dependency Python build scripts, and why simplicity beats complexity for personal sites.
About Me
I'm an Agentic Tech Lead in Search Platforms at Google, where I focus on serving LLM-enhanced search results with minimal latency. My day-to-day involves designing distributed components, profiling bottlenecks, and shipping optimizations that move the needle on performance at Google scale.
I got my MS in Computer Science from UMass Amherst (4.0 GPA), collaborating with the Chan Zuckerberg Initiative on deep learning, after earning my BE in Information Science as the gold medalist valedictorian from RVCE Bangalore.
I prefer building simple, reliable, and effective systems, and thrive in cultures that value the same.
Experience
All roles are Software Engineer unless noted otherwise.
Tech Lead, Search Platforms · Google
I lead the engineering efforts for various AI products on Search, including:
Recommendation Systems · Wayfair
Built recommendation pipelines and collaborative filtering models for e-commerce product discovery.
Production Systems · Cisco Systems
Developed reliable automation infrastructure for production networking operations and system reliability.
Education
Master of Science in Computer Science at UMass Amherst
GPA: 4.0 / 4.0
Research collaboration with the Chan Zuckerberg Initiative on deep metadata extraction from scientific literature. Teaching Assistant for Algorithms and Advanced Algorithms under Dr. Ramesh Sitaraman.
Bachelor of Engineering in Information Science at RVCE Bangalore
GPA: 9.53 / 10.0
Gold Medalist — top of graduating class. University Valedictorian.
Honors & Awards
Infosys Aspirations 2020 issued by Infosys Limited
An annual programming contest conducted by Infosys. Our team was ranked 3rd in State and 5th Nationwide. Also ranked among the top 3 teams for 2 years in a row.
ACM ICPC Asia Regional Finalist 2013 issued by ACM
Ranked among the top 100 teams in Asia, and qualified to both Asia Site-Regional Finals of the ACM ICPC held at Amritapuri and Kharagpur.
Infosys Aspirations 2020 issued by Infosys Limited
An annual National Level Programming Contest conducted by Infosys. Our team was ranked 2nd in State and 8th Nationwide.
MHRD Scholarship issued by Government of India
Awarded by the Ministry of Human Resource Development (MHRD), Government of India, for academic excellence.
Projects
Automated labeling and structured metadata extraction from PDF research manuscripts, developed in collaboration with the Chan Zuckerberg Initiative.
A machine learning model reimagining the classic D/L method for rain-interrupted cricket matches using modern regression techniques.