Nilay Jain

About Nilay Jain

Passionate AI/ML Software Engineer specializing in intelligent automation, data pipelines, and LLM-powered applications that solve real-world problems.My mission is to leverage machine learning and cloud technologies to build scalable systems that drive efficiency and enhance decision-making. With strong expertise in Python, Go, and cloud-native development (AWS/GCP), I specialize in RAG architectures, autonomous agents, NLP, and backend systems design.Throughout my career, I\'ve automated complex data extraction workflows, engineered robust AI-driven pipelines, and built intelligent systems that reduce manual effort by up to 95%. My work spans from developing agentic chatbots with custom search capabilities to architecting real-time stock sentiment analysis platforms and automated email classification systems.I\'m committed to continuous learning and innovation, staying at the forefront of LLM advancements and intelligent automation. If you\'re looking for a dedicated AI/ML professional to join your team and build impactful, production-ready solutions, let\'s connect and explore how we can collaborate.KEY SKILLS: Python, LLMs, RAG, LangChain, LangGraph, Autonomous Agents, TensorFlow, PyTorch, Prompt Engineering, NLP, PySpark, Cloud (AWS, GCP), SQL, Docker, CI/CD, Data Visualization (Tableau, Matplotlib). Email: n••••••••@gmail.com GitHub: https://github.com/nilayjain12

Experience

1. Software Engineer

   Innowi Inc.

   Jun 2025 — Present · San Jose, CA, US

   Automated restaurant menu extraction from Uber Eats using Python + Playwright, reducing manual entry time by 95%.• Designed workflow to scrape dynamic Doordash menus with Selenium + stealth Playwright, achieving 80%+ item coverage including modifiers and pricing.• Implemented network interception and API parsing to capture comprehensive restaurant data (categories, items, prices, modifiers, descriptions) from GraphQL endpoints.• Built end-to-end workflow in n8n, enabling seamless script orchestration and automated database ingestion of structured JSON menus.• Reduced menu digitization time from several hours to ~60 seconds (UberEats) and ~30 minutes (DoorDash) per restaurant.

Education

• Rajiv Gandhi Proudyogiki Vishwavidyalaya

  Bachelor of Engineering - BE, Computer Science

  2014 — 2018

• California State University, Fullerton

  Master's degree, Computer Science