sachin jat
@sachinjat
I build production AI retrieval systems and scalable event-driven backend platforms.
What I'm looking for
At ATMECS Technologies, I build AI document intelligence and conversational platforms, including hybrid RAG retrieval with Milvus, BGE-M3, BM25, cross-encoder reranking, Docling parsing, and self-hosted Qwen3 inference through vLLM.
I've delivered LLM chat, voice, streaming, function-calling, and multi-tenant microservices for Lemmata, plus AI-powered eCommerce and order-management services for Ordrio. My work spans Kafka, Redis, WebSockets, AWS, Azure, Stripe, Chargebee, SharePoint, and Qlik Cloud.
Previously, I built high-throughput Node.js and NestJS services for Sunfocus Solutions and backend APIs for gaming, eCommerce, matchmaking, and on-demand platforms at Virtoustack. I enjoy owning systems end to end, from design and implementation through debugging, production support, and performance optimisation.
Experience
Work history, roles, and key accomplishments
Senior Backend / AI Engineer
ATMECS Technologies (Sutherland Global Services)
Feb 2024 - Present (2 years 6 months)
Designed and built hybrid RAG retrieval pipelines, document parsing, and self-hosted LLM inference for AI platforms. Developed microservices, event-driven architectures, and integrations for eCommerce and analytics.
Education
Degrees, certifications, and relevant coursework
Shree Balaji College
Master's degree
Pursued a Master's degree at Shree Balaji College in Jaipur, Rajasthan, India.
Tech stack
Software and tools used professionally
OpenAPI
RAML
MuleSoft
Chargebee
Microsoft Azure
GitHub
Kubernetes
GitHub Actions
PostgreSQL
MongoDB
Microsoft SharePoint
Node.js
NestJS
Puppeteer
Redis
Azure DevOps
Mocha
SuperTest
JavaScript
Google Maps
Kafka
RabbitMQ
FastAPI
asyncio
Grafana
Prometheus
GraphQL
Firebase
Algolia
Milvus
AWS Lambda
pytest
OAuth2
Apify
NGINX
SQL
Temporal
Playwright
Pydantic
Stytch
vLLM
Argo CD
k6
Agentic
Razorpay
Docling
Nylas
Authorize.net
Availability
Location
Authorized to work in
Job categories
Skills
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