Software Developer

Hey, I'm Aakash ๐Ÿ‘‹

I build reliable backend systems and AI-powered products with Python, Go, FastAPI, Django, PostgreSQL, Redis, and LLM tooling. Always learning and leveling up with every project.

Aakash Pandit

What I Do

Backend Development

Building robust APIs and scalable systems with Python, Go, FastAPI & Django

AI & LLMs

Creating intelligent solutions with RAG, tool calling, and LLM-powered workflows

Systems & Data

Databases, caching, pipelines, and DevOps with PostgreSQL, Redis, Docker

The best way to learn is to build, break things, and build again. Every bug is a lesson in disguise.

โ€” My development philosophy

About

I'm a backend-focused engineer who enjoys designing scalable systems, clean APIs, and data-driven applications. I've shipped production services with Python and Go, built APIs with FastAPI and Django, and integrated AI workflows into real products.

My day-to-day work covers system design, performance tuning, and building reliable data pipelines. I care about clean architecture, observability, and code that is easy to test, maintain, and scale.

Skills

Technologies and tools I work with to build backend systems and AI-powered products.

Backend

PythonGoDjangoFastAPIFlask

Databases

PostgreSQLRedis

DevOps

DockerGitHub ActionsAWS

AI

LLMsRAGCohereOpenAIClaude

Projects

Reetro Application

Team retrospectives app to capture feedback, vote on themes, and track action items in real time using Golang, PostgreSQL and Redis. Dockerized and ready for deployment.

View on GitHub โ†’

AI Agent: Patient Appointment Booking System

This project is a Python-based (FastAPI) patient appointment system that combines standard CRUD flows for doctors, patients, and appointments with an AI-driven Q&A assistant to help users understand and manage scheduling. It can be described as a lightweight AI agent (tool-calling) app.

View on GitHub โ†’

Policy AI Agent

A Python FastAPI application that combines organizations, users, leave requests, policies, and an AI chat assistant powered by Cohere with tool/function calling. The AI answers questions using real data from the database and from RAG (Retrieval-Augmented Generation) over policy documents.

View on GitHub โ†’