Open to Work

Rudraksh
Nanavaty

I architect scalable backend systems and deploy AI agents that solve real problems.

See My Work
Rudraksh Nanavaty

Experience

FirstPeak.ai logo

FirstPeak.ai

Back End Developer

Sep 2025 - Present
  • Built Python backend services for a production conversational AI platform handling voice + WhatsApp traffic.
  • Shipped end-to-end billing with Stripe. Subscriptions, metered usage, auto-reconciliation, the works.
  • Created agent-to-agent eval framework for automated QA. Cut release cycles from weeks to days by catching bad prompts early.
  • Parallelized voice-agent testing with concurrent Twilio calls. Test throughput x4, regression suite from hours to minutes.
  • Integrated Langfuse for full observability. Traces, latency metrics, and cost tracking to debug bottlenecks and optimize model routing.
New Engen logo

New Engen

Back End Developer

Mar 2024 - May 2025
  • Migrated a legacy monolith to microservices using TypeScript and Python, because nobody likes spaghetti code.
  • Built GraphQL APIs for client dashboards holding <100ms p95 even at peak.
  • Shipped a fault-tolerant bulk email pipeline with RabbitMQ.
  • Implemented idempotent job processing to handle retries gracefully and avoid duplicate data chaos.
  • Set strict performance baselines and optimized async execution to hit sub-200ms targets across the board.

Academic Publications

Exploring Autoencoders and XGBoost for Predictive Maintenance in Geothermal Power Plants

Exploring Autoencoders and XGBoost for Predictive Maintenance in Geothermal Power Plants

Presented solo-authored paper as the youngest speaker at the 2024 Stanford Geothermal Workshop.

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A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction

A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction

Archives of Computational Methods in Engineering, Springer Nature (Impact Factor 12.1)

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The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction

The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction

Archives of Computational Methods in Engineering, Springer Nature (Impact Factor 12.1)

View Publication

Featured Projects

NotebookLM RAG

Built a RAG chatbot that understands your docs.

NextJSTypeScriptLangChainPinecone

ChatGPT Tokenizer

Manual BPE tokenizer implementation to understand how GPT chews text into tokens.

NextJSReactJSTypeScript

Amazon Price Tracker

Go routines scraping multiple SKUs concurrently. Real-time alerts when prices drop.

GoPythonSelenium

Algorithm Visualizers

Interactive sims for OS scheduling + concurrency. Includes Dining Philosophers with deadlock avoidance.

ReactJSGoJavaScript

My Blogs

Clean Architecture

Clean Architecture

Because nothing stands the test of time ⏱️

Read on Medium
Building a Web Server using GO and Gin

Building a Web Server using GO and Gin

Because PHP is a Dinosaur 🦖

Read on Medium
Implementing Clean Architecture in GO

Implementing Clean Architecture in GO

Because why not? 😉

Read on Medium
Amazon Shopping — The Computer Engineer Way

Amazon Shopping — The Computer Engineer Way

Because I'm lazy 🥱

Read on Medium

Technical Arsenal

AI & LLMs

RAGLangChainPineconePrompt EngineeringVector DBsLangfuse

Backend Engineering

PythonGoFastAPIExpressJSGraphQLtRPCRabbitMQ

Frontend & Full Stack

TypeScriptJavaScriptReactJSNextJSRedux ToolkitTailwindCSS

Infrastructure & Data

PostgreSQLMongoDBRedisDockerAWSGCPLinux