Available — Gurugram, IN

Ajit Kumar
Chaurasiya.

Software Developer building .NET backend systems and Retrieval-Augmented Generation pipelines — I take enterprise data from stored procedure to search index to LLM answer.

Email me → GitHub LinkedIn
// what a query goes through
Request
client
API
ASP.NET Core
Data
ADO.NET / SQL
Retrieval
vector store
Generation
RAG + LLM
Response
answer
0
Years shipping code
0
Companies
0
% query time cut
0
RAG pipeline in prod
C# · ASP.NET Core · ADO.NET · Angular · SQL Server · MongoDB · VectorDB · AWS · Azure · Kafka · Redis · Elasticsearch · Docker · RAG · OpenAI APIs C# · ASP.NET Core · ADO.NET · Angular · SQL Server · MongoDB · VectorDB · AWS · Azure · Kafka · Redis · Elasticsearch · Docker · RAG · OpenAI APIs
01

About

I'm a Software Developer at Genpact, working on the ASGN account, where I build AI-powered knowledge tools on top of .NET backends. My day-to-day sits at the intersection of two things: systems that need to be fast and correct under load, and retrieval pipelines that need to actually find the right answer.

Before this, I spent four years at SOTI Inc. as a Full-Stack Engineer, shipping serverless integrations, event-driven data pipelines, and full applications end to end. I hold an M.C.A. from NIT Calicut and lean on ADO.NET over EF Core when I want to control exactly what hits the database.

Right now I'm building toward AI Application Engineer / GenAI Engineer roles and senior .NET tech-lead positions — this site tracks that shift.

  • Based inGurugram, India
  • CurrentlySoftware Developer, Genpact
  • PriorFull-Stack Engineer, SOTI Inc.
  • EducationM.C.A., NIT Calicut
  • CertifiedAzure Fundamentals (AZ-900)
  • Emailajitchaurasia53@gmail.com
  • Phone+91 88711 28190
02

Experience

Software Developer

Genpact — client: ASGN

Nov 2025 — Present

  • Built an AI-powered Knowledge Transfer Assistant using Retrieval-Augmented Generation (RAG) to automate knowledge discovery from organizational transcripts and technical documentation.
  • Integrated pre-trained generative AI models into a RAG-based retrieval pipeline, enabling context-aware question answering over transcript-based knowledge for enterprise use.
  • Developed API endpoints in .NET and optimized SQL Server stored procedures, cutting query time by 30% — using async programming to prevent resource wastage and keep data consistent.
  • Contributed to architecture discussions, code reviews, production support, and Agile ceremonies, and mentored junior developers.

Full-Stack Engineer

SOTI Inc.

Aug 2021 — Nov 2025

  • Designed serverless AWS Lambda functions to sync Salesforce articles with a discussion forum in real time.
  • Integrated Kafka for cross-team data distribution, backed by Redis and Elasticsearch for high-performance search.
  • Built scheduled and manual sync for Azure AD user/group status, with a user-friendly toggle for control.
  • Built a full web application in Python/Django with real-time chat and text summarization powered by the BART model.
  • Owned features across the full SDLC — design, development, unit testing, and Sonar analysis — applying SOLID principles and design patterns for maintainable code.
03

Projects

YouTube RAG Chat

A Chrome extension (Manifest V3) that lets you chat with any YouTube video's transcript, backed by a FastAPI service doing per-video retrieval.

FastAPIFAISSHuggingFace embeddingsGemini

Online Bookstore

A microservices bookstore app with admin management, wishlist, cart, orders, and payments — event-driven and cache-backed.

AngularASP.NET CoreADO.NETRedisKafka

Knowledge Transfer Assistant

Enterprise RAG assistant turning transcripts and technical docs into a searchable, question-answerable knowledge base.

RAG.NETSQL ServerOpenAI APIs
04

Skills

Languages

C#TypeScriptPython

Frameworks

.NET Core Web APIMVCADO.NETAngular

Database

SQL ServerMongoDBVectorDB

Cloud

AWS (EC2, S3, Lambda)Azure

Tools & Technologies

MicroservicesRESTful APIsKafkaRedisElasticsearchDockerGitHubRAGOpenAI APIs
05

Achievements & Certification

Microsoft Certified: Azure Fundamentals
AZ-900 — cloud concepts, security, compliance, cost management
Google Foobar 2020
Solved Google's invite-only algorithmic challenge set
AIR-1, KITMCA Entrance 2018
All India Rank 1
Federation-level Chess Player
Competitive chess

Let's talk.

Open to Senior / .NET Tech Lead roles and AI Application Engineer / GenAI Engineer opportunities.

ajitchaurasia53@gmail.com
GitHub LinkedIn CodeChef GeeksforGeeks HackerRank