Available for opportunities

Hitesh
Kumar

Python Developer · Backend Architect · GenAI Engineer
3+ years building scalable APIs, ETL pipelines,
and LLM-powered applications.

hitesh.py
Hitesh Kumar
python hitesh.py

class HiteshKumar:
  # Python Developer | GenAI Enthusiast

  experience = 3 # years+
  stack = [
    "Django", "FastAPI",
    "LangChain", "LangGraph",
    "Airflow", "AWS"
  ]
  location = "Ahmedabad, India"

  passion = "Clean code &
             scalable systems"

3+
Years Experience
40%
Latency Reduced
90%+
Test Coverage
Lines of Coffee

Backend Dev
meets AI Builder

I'm a Python developer with 3+ years of experience crafting robust backend systems using Django, Flask, and FastAPI. My work spans REST APIs, real-time WebSocket systems, and data pipelines powered by Apache Airflow.

Recently, I've been deeply immersed in Generative AI — building conversational bots, product recommendation engines, and RAG-based systems using LangChain and LangGraph. I thrive at the intersection of clean architecture and emerging AI capabilities.

I'm passionate about performance optimization, having reduced response times from 20 minutes to under one second, and maintaining high-quality code with thorough testing.

📍 Ahmedabad, Gujarat, India
📞 +91 9057831452
✉️ hiteshkumar01724@gmail.com

Skills & Tools

🐍
Languages
Python JavaScript HTML5 CSS3
Frameworks & Libraries
Django Django REST Framework Django Channels FastAPI Flask Celery Angular
🤖
GenAI & LLM
LangChain LangGraph RAG Prompt Engineering Groq APIs Amazon Polly Azure Speech Google Speech
🗄️
Databases
PostgreSQL MySQL MongoDB SQLAlchemy Alembic
🔁
ETL & Data Pipelines
Apache Airflow Pandas NumPy
☁️
Cloud & DevOps
AWS S3 AWS Lambda AWS SQS Docker Git GitHub GitLab

Experience

🚀
Python Developer
07/2024 — Present
Wappnet Systems Pvt. Ltd. · Ahmedabad
Built a conversational bot using Django with WebSockets for real-time communication, integrating speech services via Groq APIs, Amazon Polly, Azure, and Google Speech.
Implemented GenAI capabilities using RAG methodology and advanced prompt strategies with LangChain.
Developed a product recommendation engine using FastAPI, LangChain, and LangGraph with node-based multi-prompt agentic workflows.
Managed dynamic schema migration with SQLAlchemy and Alembic for efficient data handling at scale.
Utilized Pandas for data analysis, manipulation, and visualization; integrated third-party APIs into existing applications.
💼
Python Django – Angular Developer
04/2022 — 07/2024
Swan Softweb Solutions · Ahmedabad
Optimized application performance, dramatically reducing response times from 15–20 minutes to under one second.
Architected RESTful APIs with Django REST Framework, achieving a 40% reduction in mobile data retrieval latency.
Integrated JWT-based authentication and authorization across all applications, strengthening API security.
Maintained 90%+ unit test coverage, enforcing high code quality through GitHub pull request reviews.
Built interactive UI components (charts, tables, forms) using Angular Material for responsive user experiences.
🎓
Internship Trainee – Python Django
10/2021 — 03/2022
InfoLabz · Ahmedabad
Gained hands-on experience with Django framework — project setup, URL routing, views, middleware, template bindings, and static/media file management.
Built an IoT project using Arduino UNO, integrating Django APIs to handle and store device data in real-time.
Displayed filtered IoT data dynamically on templates with continuous API polling for live record updates.

Featured Work

01
🗣️
Conversational AI Bot
Real-time voice-capable chatbot with WebSocket support, multi-provider speech integration (Amazon Polly, Azure, Google, Groq), and GenAI-powered responses using RAG.
Django WebSockets LangChain RAG Amazon Polly Groq
02
🛒
AI Product Recommendation Engine
Agentic recommendation system with node-based multi-prompt workflows, dynamic schema handling, and enhanced accuracy through LangGraph state machines.
FastAPI LangGraph LangChain SQLAlchemy Alembic
03
High-Performance API Suite
Optimized web application backend reducing response times from 20 minutes to sub-second. Built scalable REST APIs cutting mobile data latency by 40%.
Django REST Framework JWT PostgreSQL Angular
04
🔌
IoT Data Dashboard
Real-time IoT monitoring system using Arduino UNO with Django backend, live data polling, and dynamic template rendering for continuous device data visualization.
Django Arduino UNO REST APIs Real-time Polling

Academic Background

🎓
Bachelor of Computer Applications — Web Development
President Institute of Computer Application
📍 Ahmedabad, India  ·  Graduated May 2022

Get In Touch

I'm open to backend, GenAI, and full-stack Python opportunities.
Let's build something impactful together.