// .NET · Python · Azure · OpenAI · Production

Gaurav Bhardwaj

I ship LLM-powered backends to production.
Not prototypes.

Backend & AI Systems Engineer · 6+ years building systems at scale.
Gurugram, India · Available for freelance worldwide.

Built and shipped systems used across multiple enterprise clients in production environments.

Work With Me See My Work
6+ Years Experience
160K+ Operations Processed
4000+ Concurrent AI Requests
40% Performance Improvement

01. About

The Work

I design and ship backend systems and AI pipelines for product teams that need someone to own the work — architecture through production. Six years, multiple industries, real scale.

Stack: .NET, Python, Java on the backend. Azure and AWS for infrastructure. OpenAI and LangChain when AI is the requirement. I make deliberate technology choices based on what the problem actually needs — not what's trending.

The systems I've built operate at scale — handling high concurrency, large data volumes, and production workloads across multiple domains.

I focus on building production systems end-to-end — from architecture to deployment. If you need the backend done right — I'm available.

Location
Gurugram, India · Remote Worldwide
Email
bhardwajgaurav309@gmail.com
Core Specialization
Backend · AI/LLM Integration · Cloud
Availability
● Open to Freelance Projects

02. Expertise

Technical Stack

🖥️
Languages
C# Python Java JavaScript SQL
⚙️
Backend Frameworks
.NET Core ASP.NET MVC Django Spring Boot GraphQL REST API Web API Entity Framework Hibernate
🎨
Frontend
React Gatsby JavaScript jQuery HTML/CSS XAML WPF
🗄️
Databases
MS SQL Server PostgreSQL MongoDB Cosmos DB Redis Elasticsearch Milvus (Vector DB)
☁️
Cloud & DevOps
Azure AWS Azure Functions Azure Blob Storage Logic Apps APIGEE Git/GitHub Ocelot Microservices
🚀
Deployment & Infrastructure
CI/CD Pipelines GitHub Actions Docker IIS Linux Server Nginx Environment Setup Production Support Monitoring & Logging Release Management
🤖
AI / GenAI
OpenAI LangChain LLMs FAISS Milvus Vector DB Prompt Engineering Embeddings Beautiful Soup

03. AI Work

AI & LLM Systems Experience

4000+ Concurrent AI Users Handled
200K+ Objects Vectorized & Indexed
8 Azure Regions Deployed
2 GenAI Products in Production
🔗
OpenAI · LangChain
LLM Integration
Production-grade OpenAI and LangChain pipelines with custom prompt engineering, structured output parsing, retry logic, and fallback chains. Built for reliability — not demos.
🧠
FAISS · Milvus · Cosmos DB
Embeddings & Vector Search
Generated embeddings using davinci-002, stored 200K+ language objects in Milvus Vector DB, and built in-memory FAISS indexes for sub-millisecond similarity search across multiple parameters.
⚙️
Async · Semaphores · Backoff
High-Concurrency AI Architecture
Engineered backoff and semaphore logic to sustain 400+ parallel users on a single org-level GPT account with zero rate-limit failures. Async processing throughout for maximum throughput.
🌍
Azure · Multi-Region
Enterprise AI Deployment
Deployed OpenAI models across 8 Azure regions with compliance controls, regional data residency, and load balancing. Navigated enterprise security approval processes and production rollout.
Shipped to Production
Autonomous Coding
Converts natural language user stories into PL/SQL (Oracle) and ABAP (SAP) code. In daily use across 3 enterprise clients. Built the pipeline, vector search, and multi-region deployment.
PythonDjangoOpenAILangChainMilvusFAISSAzure
Autonomous Testing
Generates complete Selenium and UiPath test scripts from test data. Removed manual scripting from the QA workflow entirely. Async pipeline, custom screen-recording utilities, production-hardened.
PythonOpenAISeleniumUiPathMongoDBAsync

04. Projects

What I've Built

🏠
Full Stack · Cloud
Housing Asset Management Platform

Owned the entire backend — from zero to 40K+ daily requests in under a year. APIs, database, deployment pipeline, and production monitoring. All of it.

  • Architected RESTful APIs serving 10K+ daily users — owned dev → deployment → production support end to end.
  • Engineered an email-parsing pipeline (Azure Function + Logic App) that auto-creates repair records, eliminating manual data entry.
  • Delivered a system processing 160K+ repairs in 7 months with zero major outages.
  • Slashed deployment time by 40–50% through automated hosting environment setup and CI/CD.
  • Optimized SQL Server queries, improving database performance by 30%+.
  • Reduced production incidents by 25% via structured error handling, logging, and real-time monitoring.
  • Designed a geo-based job assignment system that minimizes worker travel time and improves field efficiency.
C# .NET Core Azure Functions Logic Apps Azure Blob SQL Server xUnit REST API
🤖
GenAI · Backend
Autonomous Coding — Generative AI Tool

Converts natural language user stories into production PL/SQL and SAP ABAP code. Shipped to 3 enterprise clients. Built the entire AI pipeline, vector search layer, and multi-region Azure deployment.

  • Shipped production GenAI tool to 3 enterprise clients — actively used daily across Oracle and SAP environments.
  • Engineered backoff + semaphore concurrency logic sustaining 4000+ parallel AI requests on a single org GPT account with zero failures.
  • Vectorized 200K+ language objects into Milvus Vector DB; built FAISS in-memory indexes for sub-millisecond similarity search.
  • Deployed OpenAI models across 8 Azure regions with regional compliance controls and load balancing.
  • Developed 15+ RESTful APIs in Django powering the full AI code-generation pipeline.
  • Scraped and structured multi-source training data using Beautiful Soup, reducing manual data prep time to near zero.
Python Django OpenAI LangChain Cosmos DB Azure Functions Milvus FAISS
🧪
GenAI · Automation
Autonomous Testing — Generative AI Tool

Eliminates manual test scripting entirely. Auto-generates production-ready Selenium and UiPath code from test data. Designed the architecture and LLM pipeline — in production, used by QA teams daily.

  • Built a GenAI pipeline that auto-generates complete Selenium and UiPath test scripts — eliminating hours of manual QA work per sprint.
  • Architected end-to-end LLM code-generation workflow with async processing and multithreading for high-throughput output.
  • Designed a standardized output architecture producing consistent, production-ready automation code across all test types.
  • Shipped custom screen-recording and screenshot utilities giving teams full visibility into automated execution — cutting debug time significantly.
Python OpenAI Django Selenium UiPath MongoDB Multithreading Async
⚡
Full Stack · GraphQL
Allocation Engine

Replaced a manual, spreadsheet-driven process with a real-time full-stack system. React dashboard, GraphQL API, and Elasticsearch search — designed, built, and owned end to end.

  • Replaced manual resource allocation workflows with a real-time system, saving teams hours of coordination per week.
  • Built GraphQL APIs using Netflix DGS framework enabling fast, flexible data access across allocation dashboards.
  • Integrated Elasticsearch powering instant full-text search across hundreds of resource profiles.
  • Developed the React frontend enabling teams to manage bench resources and Pod assignments in real time.
  • Secured the platform with custom Spring Boot authorization enforcing role-based access across all operations.
Java Spring Boot React GraphQL PostgreSQL Elasticsearch Netflix DGS
🍕
Backend · Microservices
Restaurant Aggregator Integration API

Led the SOAP → REST migration and monolith → microservices decomposition for a platform connecting restaurant POS systems to Zomato and Swiggy. Faster, independently deployable, easier to integrate.

  • Led full SOAP → REST migration, significantly improving API performance and reducing third-party integration complexity.
  • Decomposed a monolithic system into independently deployable microservices, enabling fault isolation and faster release cycles.
  • Expanded xUnit test coverage across 3+ core services, hardening reliability and reducing regression risk.
C# .NET Core REST API Microservices xUnit SOAP → REST
📡
Full Stack · IoT
IoT — Overall Equipment Efficiency Platform

Enterprise IoT platform giving manufacturers real-time visibility into equipment performance. Built 20+ APIs, cut server load by 40%, and delivered custom dashboards across multiple client deployments.

  • Built 20+ RESTful APIs powering real-time signal parsing, visualization, and equipment analytics.
  • Slashed server load by 40% by architecting and implementing a Redis caching layer across the platform.
  • Secured 40+ API endpoints against XSS and SQL injection — zero security incidents post-deployment.
  • Delivered 10+ custom KPI dashboards per client spec, enabling faster operational decisions on the factory floor.
  • Engineered a Script Generator tool that bundled all JS components into a single deployable file, simplifying on-site rollouts.
  • Shipped 2 Windows installers (C# + XAML) for enterprise on-premise deployments.
C# .NET Core SQL Server Redis MVC Entity Framework jQuery WPF Ocelot IoT

05. Personal

Side Projects

📅
Personal · Full Stack
Booking Management System

Full-stack booking platform built from scratch — covers the complete lifecycle from creation to reporting, with secure auth and role-based access.

  • Built end-to-end booking workflows covering creation, modification, tracking, and reporting.
  • Secured the platform with ASP.NET Identity, OAuth2 authentication, and salted password hashing.
  • Enforced role-based access control across all booking operations.
  • Implemented server-side pagination, reducing client memory usage and improving page load speed.
C# ASP.NET Entity Framework SQL Server MVC OAuth2
🛒
Personal · Full Stack
E-Commerce Website

Full e-commerce storefront — React, GraphQL, Gatsby, and live payment integration. Statically optimized for fast load times with 10+ complete features shipped.

  • Shipped a complete storefront using ReactJS and GraphQL inside Gatsby — statically optimized for fast page loads.
  • Integrated RazorPay payment gateway enabling secure, end-to-end online checkout.
  • Delivered 10+ features including product search, filters, shopping cart, wishlist, and order tracking.
  • Built fully responsive — consistent experience across mobile, tablet, and desktop.
ReactJS GraphQL Gatsby RazorPay JavaScript

06. Education

Academic Background

🎓
Bachelor of Technology (B.Tech)
GLA University, Mathura
Aug 2016 – June 2020
★ 83.40%
📚
Senior Secondary (12th)
Kendriya Vidyalaya, Mathura
April 2014 – March 2015
★ 90.2%
📖
Secondary School (10th)
Kendriya Vidyalaya, Mathura
April 2012 – March 2014
★ 95.0%

07. Hire Me

Work With Me

Available for new projects

I take on 1–2 projects at a time. Senior-level ownership, direct communication — no account managers, no middlemen. Six years of backend systems at scale means I've already solved most of the problems you're about to run into. You're not hiring someone to follow instructions. You're hiring someone to make the right calls.

✓
Backend API Development
.NET · Python · Java · REST · GraphQL · Microservices
✓
AI & LLM Integration
OpenAI · LangChain · Vector DBs · Embeddings · RAG
✓
Cloud & Deployment
Azure · AWS · CI/CD · Docker · IIS · Linux
✓
Architecture & Code Review
System design · DB optimization · Performance audits
Hourly Rate
₹2,500/hr
Negotiable based on project scope & duration
What you get
  • An engineer who owns outcomes, not just tickets
  • Architecture decisions backed by production experience
  • Code that runs in prod — tested, observed, maintainable
  • Direct access. No retainer games. No scope padding.
  • ⏱️ Response time: Within 24 hours
Start a Conversation → View LinkedIn

08. Contact

Get In Touch

Email is the fastest way. I respond within 24 hours.

bhardwajgaurav309@gmail.com linkedin.com/in/grv310 +91 9084167028