Shree
Gopalakrishnan
Full Stack - Applied AI - Agentic AI
I am a builder obsessed with the "last mile" of Artificial Intelligence.
While models are getting smarter, the real challenge lies in integrating them into reliable, usable systems. My work focuses on bridging that gap - taking AI from a chat interface to an Agentic System that can reason, plan, and execute complex workflows autonomously.
I build end-to-end applications because I believe the future isn't just about AI that talks, but AI that does.
Selected Work
Explore my recent AI and full-stack projects
Personal RAG Chatbot
Full-stack conversational AI chatbot built from scratch using RAG to answer questions about my experience.
Shrocial Media
Full-stack social media app with real-time feed, secure auth, and mobile-first design.
Restaurant Ordering System
Real-time order accuracy system using Raspberry Pi and custom hardware. Won 2nd place in UCSD MVP competition.
Shree's Pokédex
Responsive web app to browse and search Pokémon data using the PokeAPI.
Social Compass App
Android app to track friends' location and orientation with built-in messaging.
Lambertian Photometric Stereo
ML project implementing photometric stereo to estimate surface normals and albedo.
3D Image Rendering
Rendering 3D images using Lambertian Reflectance Model and convolution operations.
Image Classification (BoW)
Image classification using Bag of Words model, SIFT features, and KMeans clustering.
A Timeline of Learning
Started at UCSD
Began my journey at the University of California, San Diego, majoring in Computer Science.
Machine Learning Internship
Built a KNN-based resume classifier, that classified over 450+ resumes (and counting!) into best-fit jobs.
Machine Learning Internship
Built a weekly call volume forecaster, achieving 9% MAPE to improve staffing decisions for 500+ support agents.
Software Engineering Internship
Architected 15+ relational schemas and refactored 10+ front end components for NoSQL to PostgreSQL migration.
Graduated from UCSD!
Graduated from UCSD as a computer science major!
Full Stack Engineer @ iFrog
Joined iFrog Marketing Solutions as a Full Stack Software Engineer, building end-to-end AI systems and web applications.
Why I build AI systems
The Multiplier Effect
I chose to build software because it is the only medium where a team of five can effectively serve five million. For decades, we scaled logic - automating deterministic tasks. Now, with LLMs, we are scaling reasoning. This unlocks the ability to decouple "intelligence" from "biological time." By digitizing reasoning, we can deploy expert level decision making to the "long tail" of problems previously too expensive to address manually.
Let's Connect
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Chat
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