# Nilay Jain > AI/ML Software Engineer | AI Agents, Data Pipelines & LLM Applications | Python, LangChain, RAG, Vector DBs | Actively Seeking Roles in AI Location: San Jose, California, United States Profile: https://flows.cv/nilayjain 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: nilayj1296@gmail.com 💻 GitHub: https://github.com/nilayjain12 ## Work Experience ### Software Engineer @ Innowi Inc. Jan 2025 – Present | San Jose, California, United States • 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. ### Software Developer - AI @ Infinite Options LLC Jan 2024 – Jan 2025 • Designed and deployed efficient data pipelines for financial stock forecasting using Python and PySpark, achieving a 75% improvement in data accuracy through optimized preprocessing techniques. • Integrated and analysed large-scale financial datasets from diverse sources using SQL and Python, ensuring data accuracy and integrity, and conducted advanced statistical analyses to identify patterns and market trends. • Improved data transformation efficiency by 30% using Min-Max and Standard scaling techniques, enhancing data quality for predictive modelling. • Developed interactive Tableau dashboards to visualize data insights and key performance indicators (KPIs), enabling stakeholders to access real-time analytics and reducing report generation time by 40%. • Optimized SQL queries, cutting execution time by 30% and enhancing reporting efficiency for large datasets. • Leveraged Matplotlib to design data visualization strategies for financial trend analysis, uncovering stock patterns and outliers to enhance predictive modelling and decision-making. • Utilized PySpark for big data processing, enabling efficient distributed analysis of large-scale financial datasets. ### Graduate Teaching Associate @ California State University, Fullerton Jan 2023 – Jan 2024 | Fullerton, California, United States • Redesigned the Python programming curriculum to include hands-on ML projects, leading to a 5% increase in student grades. • Delivered comprehensive lectures on Python programming, covering fundamental concepts and advanced techniques. • Encouraged engagement through hands-on exposure to tools like TensorFlow, Pandas, and NumPy. ### Senior Software Developer @ Infosys Jan 2018 – Jan 2022 | Pune, Maharashtra, India • Employed Python to analyze data, automate dataset processing, and produce comprehensive reports, reducing manual effort and improving data accuracy. • Developed a ServiceNow dashboard that improved ticket acknowledgment and resolution by 20% through real-time visibility and automation of service requests. • Leveraged tools such as Python, SQL, and data management systems to optimize data access and user authentication for SGRE across 50+ countries, enhancing system reliability by 25%. • Utilizing Agile Scrum and Kanban, improved team productivity by 10%, reduced project delivery times by 20. • Developed interactive dashboards in Tableau, delivering actionable insights and reducing manual reporting efforts by 40%. ## Education ### Master's degree in Computer Science California State University, Fullerton ### Bachelor of Engineering - BE in Computer Science Rajiv Gandhi Proudyogiki Vishwavidyalaya ## Contact & Social - LinkedIn: https://linkedin.com/in/nilay-jain12 --- Source: https://flows.cv/nilayjain JSON Resume: https://flows.cv/nilayjain/resume.json Last updated: 2026-04-10