Headline

AI Engineer & Full Stack Developer | Next.js · Python · Gemini · LangChain | 7× Hackathon Winner (Google, MLH, Protostars)

About

I build AI-powered products that ship from receipt intelligence platforms to multi-agent financial systems. Currently at Sutra AI, I work on cost-optimized LLM pipelines using Gemini, LangChain, and Docker focused on reducing latency and improving relevance routing for AI request processing. Previously at VAIA, I built a full-stack AI investment platform (Next.js + FastAPI + Supabase) that automates financial analysis using Gemini models and Mistral OCR replacing hours of manual work with structured, investment-grade reports. Before that, at Elanco, I shipped production TypeScript/Next.js components used across global product pages, refactored core services for maintainability, and introduced Azure AppInsights observability into the stack. 🏆 Google Agentic AI Day: Second Runner Up (RASEED receipt analysis) 🏆 Protostars by Hashed Emergent: Second Prize (in-game advertising platform) 🏆 Make4thon by MLH: First Prize I care about clean architecture, real user impact, and building things that actually work at scale.

Location

Greater Bengaluru Area

AI stack

cursor

opencode

Work experience

AI Engineer at Sutra.AI, Feb 2026 - May 2026 · 4 mos, Delhi, India, - Integrated pre-validation filters into a Python + Docker pipeline, reducing latency on AI request processing and improving end-user response times. - Implemented document batching and relevance routing so the Gemini model analyzes only targeted context cutting unnecessary compute and accelerating verification throughput. Stack: Python, Gemini, LangChain, Langfuse, Docker

AI Resident at VAIA, Nov 2025 - Jan 2026 · 3 mos, Bengaluru, Karnataka, India, - Built a full-stack AI investment platform that replaced slow, manual financial research with automated, multi-source data aggregation and AI-generated investment-grade reports. - Architected the system with a Next.js 14 frontend, FastAPI backend, and Supabase (PostgreSQL + Auth), integrating Google Gemini for financial analysis and Mistral OCR for extracting structured data from uploaded PDFs. - Designed an AI agent for real-time news sentiment analysis and market event detection, pulling data from Finnhub, Tracxn, Alpha Vantage, and Tavily. Stack: Python, Next.js, FastAPI, Supabase, Gemini, Mistral OCR, Tailwind

Trainee Engineer at Elanco, Sep 2024 - Sep 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India, - Built TypeScript SKU components integrating Pear Commerce and Bazaarvoice API, enabling live product reviews across Elanco's global portfolio pages. - Refactored the Lister service into modular layers (API, models, client, server) with full Jest test coverage, significantly reducing technical debt. - Implemented client-side pagination for Resource Card Listers, improving load speed and scalability for large datasets. - Introduced Azure AppInsights logging and automated CMS content type deployments via CLI, streamlining debugging and onboarding for the team. Stack: TypeScript, Next.js, Tailwind, Kontent.ai, Playwright, Jest, Azure

Moderator at Scaler, Feb 2024 - Apr 2024 · 3 mos, Remote, Managed developer community of 80k members on Discord, curating technical content on UI/UX and frontend development. Resolved queries across React, JavaScript, and design topics.

Contributor at Timechain Labs, May 2023 - Jan 2024 · 9 mos, Hyderabad, Telangana, India, - Researched Bitcoin protocol design and contributed to the Open Subledgers Protocol project. - Built custom React components to consolidate and modernize the project's frontend, improving code structure and UI consistency.

Education

Bachelor of Technology - BTech, Computer Science, VIT-AP University

High School Diploma, The Amaatra Academy

Public links

github: https://github.com/yashdaga17