Nikhil Mittal

Software Engineer

Bengaluru, Karnataka, India7 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led development of patent-protected forecasting algorithms.
Built AI solutions impacting 5M+ sites globally.
Expert in Generative AI and scalable backend systems.

Stackforce AI infers this person is a SaaS and Consumer Electronics expert with a focus on AI-driven solutions.

Contact

Skills

Core Skills

GenaiEngineering Management

Other Skills

Multi-agent SystemsMicroservicesVerilogXilinx ISEArduinoCC++Microsoft OfficeMicrosoft WordMicrosoft ExcelPowerPointManagementProgrammingProject ManagementPublic Speaking

About

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

7 yrs 10 mos

Total Experience

3 yrs 11 mos

Average Tenure

4 yrs 7 mos

Current Experience

Enphase energy

2 roles

Staff Engineer

Apr 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India

GenAI-Powered PR Analyser
1. 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 Orchestrator
1. 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 Testing
1. Developed GenAI TestLab – an AI-powered tool for smarter UI testing with less manual effort
2. Automated test case generation from natural language prompts and user interactions
3. Converted test cases into automated test execution with self-healing and resilient scripts
4. Improved coverage, speed, and reliability while reducing manual QA effort
5. Enabled faster, cost-efficient release cycles for critical platforms
EVSE 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.

GenAIEngineering Management

Senior Software Engineer

Oct 2021 – Mar 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India

PV Forecasting MS
1. Led the development of the core PV forecasting engine used across 5 million+ Enphase sites globally.
2. This technology is protected under a trade secret patent, with me listed as the primary inventor and developer.
3. The model is a foundational component supporting Enphase's production forecasting, optimization, and simulation pipelines.
Weather Service Migration (WeatherKit to Solcast)
1. Led the migration project of weather services from Apple’s WeatherKit to Solcast, now handling 1.5 million+ API calls per day.
2. This service is a critical dependency for multiple internal teams, including: PV Forecast , Consumption Forecast , ENHO (Energy Home Optimization)

Samsung electronics

2 roles

Senior Software Engineer

Jun 2018 – Sep 2021 · 3 yrs 3 mos · Bengaluru, Karnataka, India

ITN
1. Worked on developing Bixby ITN for Samsung products like mobiles, speaker and digital appliances.
2. Worked on various post-processing modules for correcting, formatting conversational ASR output.
3. Built domain adaptable homophone correction modules for correcting ASR outputs.
4. Tracking issues and version control using Jira and Git
5. Question Mark Model for speech recognition output using deep learning as a POC.
6. Built punctuation correction module for speech recognition output using deep learning
7. Enhancing code quality using Samsung internal tool “svace”.
Whisper Detector
Developed whisper detector module with TA > 95% and FA<2%
Port and optimize module for on device deployment
End point detector
a) Pause Detection Module to determine whether the following pause is final or intermediate on the basis of this mic closing decision is taken
b) Personalized EPD: - to determine the end point of the particular speaker in multi speaker environment

Summer Internship

May 2017 – Jul 2017 · 2 mos · Bangalore Urban, Karnataka, India

1. Developed an Android Application for collection of data to train the model.
2. Hands on experience with an Automatic Speech Recognition (ASR) project using a Gaussian Mixture Model and Hidden Markov Model (GMM HMM) based recognizer.