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Adityatorgal17/README.md

Aditya Torgal

Backend-Focused Developer · Problem Solver · CS Undergraduate

LinkedIn LeetCode Codeforces

I design scalable backend systems, build APIs, and solve algorithmic problems with a focus on clean architecture, performance, and correctness. Strong foundation in systems and security, with a habit of sharpening fundamentals through competitive programming.

Tech Stack

Languages

C++ Python Go TypeScript SQL

Backend & Systems

FastAPI Node.js Fiber net/http gRPC JWT

Databases

PostgreSQL MySQL SQLite MongoDB Supabase

Machine Learning

NumPy Pandas Matplotlib scikit-learn PyTorch TensorFlow

Cloud & Infra

AWS Azure Docker Kubernetes Linux Git

Messaging & Automation

Kafka n8n

GitHub Stats

Aditya's GitHub stats

📫 Reach me on LinkedIn

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  1. maglev maglev Public

    Forked from OneBusAway/maglev

    Next-generation OBA REST API server

    Go

  2. go-micro go-micro Public

    Distributed Go microservices application demonstrating HTTP, RPC, gRPC, and event-driven communication with RabbitMQ, backed by PostgreSQL, MongoDB, and containerized using Docker.

    Go 1

  3. Quizzler Quizzler Public

    Quizzler is a web-based quiz platform designed for educational institutions where teachers can create and manage quizzes, while students can take them in real time. The system supports automatic gr…

    Python 1 2

  4. CTF-Writeups CTF-Writeups Public

    Forked from CSYClubIIITK/CTF-Writeups

    I edited my CTF writeups in the ApoorvCTF-25-Writeups folder to correct mistakes, add missing details, and improve the explanations. These changes enhance clarity and provide better insights for fu…

    TypeScript 1

  5. SpotMyFace SpotMyFace Public

    SpotMyFace is an AI-powered shared event gallery platform that automatically detects and clusters people from uploaded event photos.

    Python 1

  6. LLM-as-a-judge LLM-as-a-judge Public

    ELT + LLM pipeline for analyzing ecommerce assistant conversations, extracts conversation features, generates LLM-enriched insights, and visualizes them on a Streamlit dashboard.

    Python