About
AI engineer and researcher focused on agentic GenAI systems, RAG/LLMs, and scalable MLOps. Experienced with Web GIS dashboards, applied ML training, and production-ready systems.
I specialize in building intelligent systems that combine the power of language models with practical engineering practices. My work spans from research and development to production deployment and optimization.
Read full bioExperience
Lead AI Engineer
Studio137 Digital Media Solutions
Mar 2026 - Present
Promoted to Lead AI Engineer; led the scaling and optimization of AI solutions and backend systems for Generative AI products, building agentic workflows (Agentic Architecture, AI Agents, LangGraph, MCP) with an emphasis on ethical, human-centered AI at scale.
- Built and optimized AI/GenAI backend systems and integrations, including REST API workflows, production pipelines, and runtime/tooling across OpenAI API, Google Gemini, Groq, and Ollama.
- Drove engineering delivery through CI/CD and Bitbucket pipelines using MLOps and DevOps practices, with Dockerized services and cloud deployments (EC2/ECR/ECS/Fargate) plus RAG/LLM capabilities.
AI Engineer
Studio137 Digital Media Solutions
Aug 2024 - Mar 2026
AI Engineer focused on building and scaling GenAI solutions with emphasis on production-ready systems and MLOps practices.
- Developed agentic AI systems and RAG pipelines for enterprise applications
- Implemented CI/CD workflows and containerized deployments
- Optimized LLM integrations and backend infrastructure
Posts
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Blog authoring showcase (math, figures, code, markdown)
This post is a living reference for everything you can drop into a normal article: front matter, math, the fig shortcode, plain images, highlighted code with line …
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Agentic RAG Workflows: Building Tool-Using Agents
Retrieval-augmented generation (RAG) has become a cornerstone of modern AI systems, enabling language models to access external knowledge bases and provide more accurate, …
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MLOps for LLM Services: CI/CD and Deployment Patterns
Deploying large language models in production requires more than just containerization. It demands a comprehensive MLOps strategy that addresses model versioning, …
Research Papers
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Efficient Scaling of Agentic AI Systems in Production
1. Introduction The deployment of agentic AI systems at scale presents unique challenges in terms of latency, cost, and reliability. Traditional approaches to scaling …
Projects
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Agentic RAG Pipeline
Overview The Agentic RAG Pipeline is a production-ready system for building tool-using agents with retrieval-augmented generation capabilities. It provides a flexible …
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Adarsh Champawat Geospatial Dashboard
Overview The Adarsh Champawat Geospatial Dashboard is a comprehensive Web GIS application designed for district-level spatial analysis and decision support. Developed for …