Mihna

Mihna Neerulpan

12+ years developing and integrating safety-critical automotive and aerospace systems, from requirements through HIL and vehicle/aircraft test, with recent focus on electric powertrain and energy storage for EV and eVTOL programs; engineering and program leader with hands-on depth across systems, modeling, simulation, software, integration, and test.

I enjoy developing at the intersection of physics, simulation, data, software, and real-world operation from first principles.

Get in Touch

Open to new roles and collaborations.

San Francisco Bay Area

Experience

2026 - Present
ActionFlux Labs

Independent R&D and Consulting.

2023 - 2026
Supernal (Hyundai AAM)

Drove EMS functional integration and test readiness for an eVTOL technology demonstrator with a dynamic ESS architecture, surfacing 8% of all aircraft integration anomalies ahead of flight test. Led modeling, simulation, and BMS planning for the next-generation energy storage architecture.

2018 - 2022
AC Propulsion Inc.

Grew a multidisciplinary team from 2 to 6 engineers and led drivetrain R&D for production and prototype applications. Shipped 60-280 kW PMSM and induction drives across 400 V Si-IGBT and 800 V SiC-MOSFET three-phase, two-level power stages, deploying units in 170+ Designwerk/Volvo heavy-duty trucks and an Ampaire hybrid-electric aircraft demonstrator.

2017 - 2018
Magneti Marelli

Developed model-based embedded software for Harley-Davidson’s body control program, accountable for AUTOSAR RTOS integration, RTE design, and application-platform integration. Introduced a team-adopted framework to decompose customer ECU specifications into modular, testable requirements.

2014 - 2017
General Motors

Developed production ASIL-D embedded software for GM Super Cruise, spanning diagnostics, communication interfaces, controller integration, HIL test automation, mule-vehicle support, and software DFMEA. Served on the Technical Review Board for ADAS architecture, communication & diagnostics.

Certifications

Functional Safety Professional TUV SUD 2023
Building Agentic AI Applications Maven 2025
Algorithms for Battery Management Systems University of Colorado Boulder 2025

Education

B.Tech in Electrical and Electronics Engineering Amrita University, India University of California, Davis (GSP)

Projects

celljar viewer - interactive explorer for harmonized battery test data
Open Data Battery Testing Canonical Schema Parquet + SQL HuggingFace

celljar

Public battery test data is scattered across many sources, each with its own format, units, and structure - so every project starts with custom wrangling before any analysis.

celljar harmonizes published datasets (10 so far, spanning 8 cell models / 280 cells / ~184M time-series rows) into one canonical schema: metadata as JSON, time series as Parquet for fast queries and compact storage. Query across every dataset with simple SQL / pandas / Polars, or explore them in the included viewer. Free and hosted on HuggingFace; code on GitHub.

Battery pack thermal imbalance - Simscape electro-thermal model of a 3S2P pack with asymmetric per-cell cooling
Battery Pack Electro-Thermal ECM Simscape Thermal Imbalance Aging

Battery Pack Thermal Imbalance

Cells in a pack do not cool equally - coolant-path and packaging differences create cell-to-cell thermal resistance variation, so identical cells run at different temperatures, age unevenly, and reach voltage limits at different times.

An electro-thermal study showing how unequal cooling paths alone can drive temperature spread, aging imbalance, and early voltage cutoff in a 3S2P Samsung INR21700-30T (NMC) pack, with cells held identical to isolate the thermal-resistance effect from cell-to-cell variation. Highlights: ECM, Bernardi heat generation, fitted OCV / R0 / entropic-coefficient (dOCV/dT) lookup tables, asymmetric per-cell thermal resistance, CP charge-discharge control, coolant temperature sensitivity sweeps. Request a demo.