Skip to content
View Aditya-AG7's full-sized avatar

Highlights

  • Pro

Block or report Aditya-AG7

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Aditya-AG7/README.md

Aditya Gopal

Final-year CSE student at IIIT Kottayam. I like backend systems, and lately I've been especially interested in the parts of software that are hardest to make reliable. That's how I ended up working on agentic AI during my internship.

What I've built

Internship @ Twinleaves. I worked on the Task Management feature of an AI-powered retail chatbot (Java, Spring, Google ADK, BigQuery). I designed the conversation flow the LLM follows to create and track tasks, wired it into three backend services, and (the part I'm genuinely proud of) replaced a flaky setup where the LLM wrote its own database joins with a deterministic resolution layer in Java, so the output is correct every time instead of most of the time. I also tracked down a subtle bug where the model was mishandling its own tool output, by pulling the raw framework payload and tracing it back to the actual cause. Before this, I built a Google Merchant Center onboarding platform (Java, Spring Boot, PostgreSQL, OAuth 2.0) that turned a fully manual process into an automated one.

Adavya Retroverse, Live Point Tracker. A real-time leaderboard for a college carnival, with two-tier role-based admin access and live score updates. Built and shipped under a tight deadline, and actually used by people during the event, which is a different kind of pressure than a class project. Went back after the event to fix an auth vulnerability I found, replacing it with proper Supabase Auth and RLS policies. Stack: React, Supabase, Tailwind, Vercel Repo

Carbon Emission Tracking System. A full-stack app I built solo to track and analyze carbon emissions across regions and sectors, with role-based auth, an admin dashboard, and visualizations to make the data actually readable. Stack: Flask, MySQL, Matplotlib, Seaborn Repo

Learning in public

AWS Guided Labs. Notes and configs from guided mini-projects across EC2, S3, Lambda, VPC, IAM, RDS, API Gateway, DynamoDB, and QuickSight. Not production experience, just me working through the services hands-on and writing down what broke and what I learned. Repo

Currently

  • Deep in placement prep: DSA, competitive programming (300+ LeetCode, Codeforces 862), and system design
  • Building a full-stack project with Node.js and React, end to end, including containerization, AI features, and AWS deployment
  • Open to backend, full-stack, or applied-AI internship opportunities

Stack

Core: Java, Python, JavaScript, SQL, Spring Boot, Flask, REST APIs, PostgreSQL, MySQL, Supabase, Git

Exploring: AWS, Docker, Kubernetes

Connect

Pinned Loading

  1. adavya-retroverse adavya-retroverse Public

    TypeScript

  2. CarbonEmissionAnalysis CarbonEmissionAnalysis Public

    HTML

  3. aws-projects-portfolio aws-projects-portfolio Public

    HTML

  4. Project-Leelavati/Leelavati Project-Leelavati/Leelavati Public

    This is a repository to create a python library to implement algorithms given in the book leelavati by Bhaskarachary

    Python 6