About
Long-form bio, technical skillsets, and engineering philosophy. A version optimized for recruiters lives on the curriculum vitae page.
I build production ML systems. Currently a Data Scientist at Myntra on the homepage merchandising and Ads Ranking teams, where I model parts of Infinite Scroll and deep multi-task ranking architectures extending from CTR to funnel-depth (CVR) metrics. Previously, I was a Graduate Student Researcher at IIIT Delhi (MIDAS Lab), working under Dr. Rajiv Ratn Shah. My M.Tech thesis, “Lost in Perception: Isolating Perceptual and Reasoning Failures in Multimodal Physics and Geometry Reasoning”, was accepted at the 9th BlackboxNLP Workshop, co-located with EMNLP 2026, Budapest. I completed my M.Tech in CSE with a final graduation CGPA of 8.08.
My journey in engineering began with a B.E. in Information Technology from LDRP-ITR Gandhinagar, where I graduated with First Class with Distinction (8.14 CGPA). Competing in national hackathons shaped my engineering mindset: winning 2nd place at the State Level Hackathon in Gujarat (SSIP 2022, which we later published in IEEE I2CT 2024) and reaching the national finals of KAVACH-2023 for real-time edge ANPR and facial verification were defining milestones. What drives my work today is building robust, idempotent feature pipelines and making rigorous contributions to multimodal ML research.
What I'm doing right now
Full-time on AdsRank and Infinite Scroll systems at Myntra, engineering deep multi-task ranking architectures, Databricks PySpark feature orchestration, and automated Triton GPU deployment pipelines.