Headline

Data Science | Swiggy | Ex - slice, Observe.AI | IIIT Kancheepuram’25

About

Currently an Associate Data Scientist at Swiggy, leveraging expertise in AI/ML, OpenAI API, and prompt engineering to contribute to impactful solutions. Previously worked as a Machine Learning Associate at Observe.AI, focusing on enhancing multilingual capabilities in AI systems to improve inclusivity across diverse languages. Graduated in 2025 with a Bachelor of Technology in Computer Science from IIIT Kancheepuram. Past experiences include developing a custom AI chatbot for Rolls-Royce at Soulpage IT Solutions and improving automated customer experience systems at slice. Passionate about building innovative AI-driven solutions for complex challenges.

Location

Bengaluru

AI stack

antigravity

codex

claudecode

Work experience

Associate Data Scientist at Swiggy, Dec 2025 - Present · 9 mos, Bengaluru, Karnataka, India

Associate Machine Learning Engineer at Observe.AI, Jul 2025 - Nov 2025 · 5 mos, Bengaluru, Working on enhancing multilingual capabilities in AI systems to support diverse languages and improve inclusivity.

Data Scientist at Soulpage IT Solutions, May 2025 - Jun 2025 · 2 mos, Hyderabad, – Built a custom AI chatbot for Rolls-Royce, automating query resolution from operational and maintenance PDFs. – Converted PDF pages into images and generated embeddings using ColPaliv.12 for retrieval and ranking. – Retrieved relevant images for a user’s query, re-ranked them using Qwen 2.5, and inferred top-2 images for context understanding. – Utilized Qwen 2.5 for final text response generation based on visual context and query intent.

Data Scientist at slice, Jul 2024 - Jan 2025 · 7 mos, Bengaluru, Karnataka, India, - Enhanced the automated email response system for the CX team, improving recall by 15% to 30% across different subcategories while maintaining high precision in customer communications. - Developed an end-to-end competitor analysis solution, scraping and analyzing 6-8 bank app reviews from the App Store and Google Play to extract key customer pain points and delight features, driving actionable product improvements. - Built a QA automation system to evaluate customer support agents' responses, increasing ticket evaluation coverage from 10% to 80% and significantly improving quality control in customer support.

Education

Bachelor of Technology - BTech, Computer Science, Indian Institute of Information Technology Design & Manufacturing Kancheepuram