Open to opportunities

Ravi Chudgar

@ravichudgar

Senior Software Engineer and Generative AI Developer building production-grade backend systems and LLM-powered applications.

India

Message

What I'm looking for

I’m looking for Senior Software Engineer or Generative AI Developer roles where I can ship production RAG/agentic AI with strong security, measurable performance improvements, and a collaborative engineering culture across backend, product, and DevOps.

I’m a Senior Software Engineer and Generative AI Developer with 5+ years building production-grade backend systems and LLM-powered applications. My focus is agentic AI and Retrieval-Augmented Generation (RAG), turning language models into dependable, measurable features that help teams move faster.

I specialize in LangChain-based solutions with OpenAI API and Azure OpenAI, grounded in practical evaluation. I combine hands-on engineering with research discipline—benchmarking, secure systems, and empirical performance evaluation—so outcomes are both effective and trustworthy.

Most recently at Nifty Money, I integrated generative AI and LLM capabilities into backend workflows (LangChain, OpenAI API), reducing manual processing time by 35% and improving throughput by 40%. I designed scalable Node.js and Python services, architected microservices and RESTful APIs, and optimized PostgreSQL/MongoDB for up to 50% lower query latency.

I also prioritize secure, production-ready delivery—implementing JWT/OAuth2 with OWASP best practices—and efficient deployment via AWS/Azure, Docker, and CI/CD (reducing release-cycle time by 30%). Before that, as a Full Stack Software Developer, I built RESTful APIs and SaaS/internal tools across Node.js, Python, TypeScript, React.js, and Vue.js, consistently delivering milestones in distributed teams.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Nifty Money

Jun 2024 - Present (2 years)

Integrated generative AI and LangChain-based workflows using the OpenAI API, reducing manual processing time by 35% and improving automated decision-making. Built scalable Node.js and Python services, increasing throughput by 40% and improving API response times by 35%, while cutting release-cycle time by 30% and query latency by up to 50% through database tuning.

Lang Chain Retrieval Augmented Generation (RAG)OpenAI API Node.Js Python fastAPI AWS Azure PostgreSQL NodeJS

Warehouse Operator / Desk Clerk

Lidl GB

Jan 2023 - Sep 2025 (2 years 8 months)

Managed front-desk operations and coordinated logistics in a high-volume retail environment while completing an MSc in parallel and developing generative AI projects. Demonstrated reliable operations and effective stakeholder communication under pressure.

Customer Service Front Desk Operations Logistics Coordination Problem Solving Reliability Agile Collaboration High Volume

Digital Marketing & Customer Support

Nutan Sales Agency

Jun 2018 - Aug 2022 (4 years 2 months)

Planned and executed digital marketing campaigns and SEO strategy to grow online visibility. Set up and managed Google Ads campaigns, tracking performance metrics and optimizing ROI while supporting customers.

SEO Digital Marketing Google Ads Performance Tracking ROI Optimization Customer Support SEO Optimization Campaign Management

Full Stack Software Developer

Webburner Tech

Apr 2019 - Mar 2022 (2 years 11 months)

Built full-stack applications and RESTful APIs for SaaS platforms and internal tools using Node.js, Python, TypeScript, React.js, and Vue.js. Improved API response times by up to 60% via query optimization, caching strategies, and algorithmic improvements, while managing PostgreSQL and MongoDB for secure, consistent performance.

Node.Js Python TypeScript React Vue.Js RESTful APIs PostgreSQL MongoDB Caching Query Optimization NodeJS

Education

Degrees, certifications, and relevant coursework

University of East London

Master of Science in Computer Science, Computer Science

Grade: 87% (Distinction)

Earned an MSc in Computer Science with Distinction (87%). Completed a dissertation on designing and benchmarking a secure IoT communication channel using AES/DES encryption over MQTT.