---
title: "Ritesh Kumar - SDE in New Delhi | Tal"
description: "Meet Ritesh Kumar, Backend Engineer | Python · Django · REST APIs | GenAI · LangGraph · LangChain · RAG | LLM Pipelines | Open to Opportunities based in New Delhi."
image: "https://tal.club/meet/ritesh-20/share-image"
---

# Ritesh Kumar on Tal

## Headline

Backend Engineer \| Python · Django · REST APIs \| GenAI · LangGraph · LangChain · RAG \| LLM Pipelines \| Open to Opportunities

## About

Production\-grade AI systems don't build themselves — someone has to architect the LangChain pipelines, harden the Django APIs, and make sure the whole thing holds at scale\. That's the work I do\. At Shorthills AI, I've spent the last two years building backend infrastructure and GenAI tooling that engineers and product teams depend on every day\. I engineered LangChain\-based LLM orchestration pipelines for automated document processing workflows — the kind of agentic AI systems that turn hours of manual review into seconds of compute\. On the data side, I redesigned multiprocessing Python pipelines integrated with AWS S3, cutting data synchronization latency by 85%\. I also optimized MySQL query patterns and schema design that drove a 45% reduction in data retrieval time for a multi\-dimension automotive analytics platform\. My backend work lives at the intersection of performance, reliability, and scale\. I build RESTful APIs with Django that power cross\-functional product and data teams, write SQL and PySpark transformation logic in Databricks for large\-scale data processing, and implement CI/CD\-ready services with production observability baked in from day one\. I've served as DRI for backend services SLA maintenance — writing incident\-response runbooks, not just shipping features\. On the GenAI side, I've shipped internal and client\-facing AI applications: chatbot systems built on OpenAI and Ollama, PDF QnA tools with LangChain retrieval pipelines, and AI\-assisted content tagging features with LLM\-powered classification\. I approach AI engineering the same way I approach backend work — with an emphasis on reliability, prompt engineering discipline, and scalable architecture over demos\. My full\-stack exposure \(Node\.js, Express, MongoDB, ReactJS\) means I can collaborate across the product surface, understand the frontend impact of backend decisions, and ship end\-to\-end features when the team needs it\. Tech I work with daily: Python · Django · LangChain · OpenAI API · AWS \(S3, DMS\) · MySQL · PySpark · Databricks · MongoDB · ReactJS · Node\.js · REST APIs · CI/CD · Prompt Engineering Open to full\-time GenAI, Backend, and Full\-Stack Engineering roles\. Feel free to message me\.

## Location

New Delhi

## Work experience

SDE at Shorthills AI, Oct 2023 \- Present · 2 yrs 10 mos, Gurugram, Haryana, India, Architected LangChain\-based LLM orchestration pipelines with advanced prompt engineering to automate enterprise document processing workflows, enabling fully agentic AI\-driven feature delivery at production scale\. Engineered scalable Django REST APIs backed by MySQL to deliver core analytics endpoints for an automotive sales intelligence platform, serving cross\-functional product and data teams with high\-availability data access\. Designed multiprocessing Python scripts integrated with AWS S3 cloud storage and production database pipelines, reducing data synchronization latency by 85% and enabling real\-time reporting across distributed environments\. Optimized MySQL relational schema and query execution plans, cutting data retrieval latency by 45% and increasing reporting pipeline reliability; automated Python\-based data ingestion workflows that eliminated 40% of manual operational workload\.

Software Developer at Co\.Lab 🚀 joincolab\.io, Jul 2023 \- Oct 2023 · 4 mos, Remote, •Shipped production RESTful backend APIs for a consumer trip\-planning platform using Node\.js and Express\.js, handling multi\-source data routing, request validation, and scalable API service operations\. Architected CI/CD\-ready backend services on MongoDB with automated build pipelines, ensuring high availability of user\-generated content and zero\-downtime deployments across staging and production environments\. Instrumented LLM\-powered content tagging features and multiple ReactJS interaction screens, integrating AI\-assisted classification into the content management layer and improving content discoverability for end users\. Delivered full\-stack feature ownership end\-to\-end — from MongoDB schema design through Express API contracts to ReactJS UI components — enabling rapid iteration on a collaborative travel product\.

## Education

Bachelor of Technology \- BTech, Computer Science, Netaji Subhas University of Technology, East Campus

[View the original profile](https://tal.club/meet/ritesh-20)

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