Nikhil Mittal

About Nikhil Mittal

I’m a Staff Engineer with 8 years of experience in ML/AI, Generative AI, and scalable backend systems, passionate about creating AI solutions that drive real-world impact. At Enphase Energy, I led the development of patent-protected forecasting algorithms now deployed across 5M+ sites globally. Earlier at Samsung R&D, Bangalore, I worked on voice intelligence technologies in the Wake-Up Team. Alongside building enterprise-grade AI platforms, I enjoy leading teams end-to-end—from strategy and architecture to execution and people development—while pushing the boundaries of what AI can achieve.

Experience

1. Staff Engineer

   Enphase Energy

   Apr 2024 — Present · Bengaluru, IN

   GenAI-Powered PR Analyser1. Built an AI-driven tool to automate pull request (PR) reviews with GitHub & JIRA integration.2. Delivered context-aware feedback on code quality, security risks, and best practices.3. Reduced manual review effort, accelerating feature releases and improving team efficiency.4. Provided a competitive edge over static analysis tools by enabling smart, scalable reviews.5. Secured 2nd Prize company-wide for innovation and implementation impact.Intelligent EDA & ML Orchestrator1. Built a GenAI-powered data analysis tool that transforms manual exploratory data analysis (EDA) from weeks to minutes.2. Automated pattern detection, correlations, visualizations, and model recommendations for faster insights.3. Designed with a privacy-first approach using column anonymization and secure API integrations.4. Improved forecasting accuracy, decision-making speed, and cost savings.5. Delivered a scalable, enterprise-ready solution to support Enphase’s data-driven growth.GenAI TestLab – AI-Powered Automated UI Testing1. Developed GenAI TestLab – an AI-powered tool for smarter UI testing with less manual effort2. Automated test case generation from natural language prompts and user interactions3. Converted test cases into automated test execution with self-healing and resilient scripts4. Improved coverage, speed, and reliability while reducing manual QA effort5. Enabled faster, cost-efficient release cycles for critical platformsEVSE Intelligence Modules Developed three specialized modules to enhance EV-related intelligence and forecasting:1. EV Detection: Identifies third-party EVSEs (Electric Vehicle Supply Equipment) by analyzing household energy consumption patterns.2. EV Availability Forecast: Predicts upcoming EV plug-in sessions along with associated properties like timing, duration, and frequency.3. EV Demand Forecasting: Estimates the expected EV load during future sessions to aid in grid-aware optimization and planning.

Education

• Indian Institute of Technology, Kharagpur

  Dual Degree (B.Tech+M.Tech), Electronics and Electrical Communicational Engineering

  2013 — 2018

• H.K.H Public School

  R.B.S.E Board (12th Class), Mathematics,Physics and Chemistry

  2010 — 2012