Dheeraj Prakash S
Full Stack Software Engineer

Hi, I'm Dheeraj Prakash S

Backend systems, AI pipelines, and product engineering

I build production backends in FastAPI and Django, and integrate LLM-powered RAG pipelines into existing systems. My work spans multi-tenant SaaS platforms, event-driven AWS services, and React/Next.js frontends — backed by an MBA in Finance that keeps me focused on business impact, not just clean code.

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What I do

A Full Stack Software Engineer with 3+ years of experience building enterprise backends and, increasingly, integrating AI into production applications. I specialize in FastAPI, Django, and event-driven AWS architecture — with a growing focus on RAG pipelines, LangChain, and LangGraph. Currently working across a multi-tenant SaaS portfolio serving thousands of end users.

Skills & Tools
Python
TypeScript
FastAPI
Django
Node.js
Express.js
React
Next.js
PostgreSQL
MySQL
MongoDB
DynamoDB
OpenSearch
Redis
LangChain
LangGraph
OpenAI
AWS
Azure
Docker
Kubernetes
3+
Years of experience
5
Production platforms shipped
85%
API latency reduction, KwickMetrics
9x
Query speedup via pg_trgm indexing
Where I've worked

Experience

Building production systems and AI infrastructure

Mallow Technologies Private Limited

Mar 2023 – Present

Software Developer

Jun 2024 – Present
Multi-Tenant Amazon Seller Analytics (KwickMetrics)
  • Built multi-tenant analytics platform using FastAPI on AWS (EC2, RDS PostgreSQL, S3), providing sellers insights on ratings, sentiment, and pricing trends.
  • Designed event-driven AWS architecture using SQS and SNS for distributed task processing; integrated Lambda-based ML workers for sentiment analysis.
  • Reduced API response latency by 85% through async FastAPI, PostgreSQL optimization, Redis caching — handling 500+ RPS across 100K+ daily transactions.
Rebate & Incentive Management (Joinband)
  • Building multi-tenant rebate platform using Next.js and Django with strict tenant isolation across distributors and partner networks.
  • Improved frontend rendering performance by 90% via Next.js optimizations; delivered real-time analytics dashboards.
AI & RAG Infrastructure
  • Built production-grade RAG architectures integrating LangChain and LLM orchestration — enabling AI-powered analysis across 50,000+ documents.
  • Developed AI-powered CSV transformation pipeline using OpenAI GPT-4, processing 10,000+ records daily with 95% accuracy.

Junior Software Developer

Jun 2023 – May 2024
Corporate Taxi Management (RedTaxi)
  • Engineered corporate taxi booking system, digitizing end-to-end trip workflows — reduced paper usage by 85% through digital transformation.
  • Optimized Node.js backend queries by 70–80%; improved frontend performance by 95% for seamless booking experience.
Cloud Storage Platform (Sparkbox)
  • Built cloud storage platform using Django REST Framework with AWS S3 integration — serving 5,000+ users with 99.8% uptime.
Multi-Tenant SaaS Architecture
  • Developed multi-tenant SaaS architecture using Django with tenant-aware middleware and OpenSearch for 20+ enterprise clients.
  • Optimized Django ORM query performance by 70% — reducing API response time from 800ms to 240ms.

Project Intern

Mar 2023 – May 2023
CRM Platform (Gist CRM)
  • Built web applications and assisted in bug fixes for enterprise CRM project, improving application stability.
  • Achieved 82% test case coverage; worked with ReactJS, NodeJS, and MongoDB in real-world scenarios.
Featured & selected work

Projects

Independent builds, in addition to my day-to-day role

Video ad → transcript + OCR (Azure Video Indexer)
↓
Rules retrieved via RAG (Azure AI Search)
↓
Compliance check (LangGraph + GPT-4o)
↓
Report via CLI or FastAPI service

Brand Guardian — Compliance QA Pipeline

An automated brand-compliance auditing system for video ads. Extracts transcript and on-screen text with Azure Video Indexer, then runs a LangGraph-orchestrated RAG pipeline that checks content against rules stored in Azure AI Search — exposed as both a CLI tool and a FastAPI service with Application Insights telemetry.

View on GitHub

Rate Radar

Production-grade interest-rate tracking service with Django 5 + DRF API, PostgreSQL, Redis caching, Celery Beat scheduling, and Next.js dashboard. Streams 1M+ rows via pyarrow with idempotent ingestion and AWS ECS deployment.

View Project

Django Multi-Agent AI Chatbot

A multi-agent framework — supervisor, researcher, analyst, writer — integrated into Django using LangGraph, with real-time chat and session management for collaborative problem-solving.

View Project

LangGraph Research Chatbot

A research assistant on a LangGraph-powered chatbot with Tavily and arXiv tool integrations, supporting persistent sessions and real-time typing indicators.

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Parkinson's Progression Prediction

Ensemble ML models — Random Forest, Lasso, SVR, XGBoost, LGBM — trained on patient protein and clinical data to predict UPDRS progression scores.

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Job Tracker

A MERN-stack web application for tracking and managing job applications, built end to end.

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Passport Automation System

A passport application and verification system built with React and Django, with a three-step verification flow and role-based authentication.

View Project
Background

Education & certifications

Jun 2023 – May 2025

MBA, Finance

Bharathidasan University, Tiruchirappalli
Jun 2019 – May 2023

B.E., Computer Science

Saranathan College of Engineering

Machine Learning

Stanford University (Coursera)

ML & Deep Learning with Python & R

Udemy

RPA Citizen Developer Foundation

UiPath

Full Stack Web Development

Inlustro

Software Engineering Virtual Experience

JPMorgan Chase

Geoprocessing with Python

ISRO / IIRS

Cloud Computing

NPTEL
Let's talk

Get in touch

Open to full-time roles, remote-friendly, based in Tamil Nadu, India. Reach out on any of these channels, or download my resume above.

dheerajprakash021@gmail.com +91 9698594605 LinkedIn GitHub