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