Certified
ISTQB ✓
2 PATENTS
// EV · Automotive · AI Engineer
KARTHIK
ePowertrain · ECU Virtualization · AI / LLMs
0+
Years Experience
0
Major Projects
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Patents Held
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Profile
ABOUT ME
I'm a Senior Automotive Engineer & AI Practitioner specializing in Electric Vehicle ePowertrain systems, ECU Virtualization, and AUTOSAR-compliant software development. With nearly a decade of hands-on experience across global OEMs and startups, I bridge the gap between hardware constraints and high-performance software.
Currently leading AI and Embedded Products at Planet Material Labs, I combine deep automotive domain knowledge with modern AI capabilities — including Large Language Models (LLMs), prompt engineering, and RAG (Retrieval-Augmented Generation) pipeline creation — to build next-generation intelligent automotive systems.
A proven technical leader, I've led cross-functional teams as ePowertrain Lead at Planet Electric Inc., SiL Lead at Bosch (Mercedes-Benz AG), and Product Lead at Planet Material Labs. I hold two patents in child vehicle safety, reflecting my drive to innovate beyond performance into critical safety systems.
Location
Bengaluru, India
Domain
EV · Powertrain · ECU Virtualization
Education
B.E. Electronics & Communication
NMIT, VTU · CGPA 8.54
NMIT, VTU · CGPA 8.54
Certification
ISTQB Certified
LinkedIn
Email
Patent #01 — Child Safety
Innovative Child Safety System Integration for Automotive Vehicles
Patent #02 — Child Safety
Advanced Vehicle-Based Child Protection & Monitoring Technology
Capabilities
TECH STACK
ePowertrain
End-to-end EV powertrain architecture, VCU development, component sizing for 1-Ton & 1.5-Ton eLCV platforms. IDC/MIDC drive cycle simulation.
ECU Virtualization
Software-in-the-Loop (SiL) integration for virtual ECUs. dSPACE SystemDesk, VEOS Player, ControlDesk. Hardware abstraction and virtual driver implementations.
AUTOSAR
AUTOSAR-compliant software development with TOP-DOWN and BOTTOM-UP model-based approaches. Legacy migration, ARXML creation, SWC development.
Model-Based Dev
MATLAB/Simulink modeling, auto code generation via Embedded Coder, Reactis-based test case generation. MIL/SIL/Coverage testing.
Automation
Python-driven automation for CI/CD pipelines, SystemDesk API, VEOS Player API, ControlDesk scripting. Utility tool development with GUI and installer packaging.
Vector Toolchain
vVirtualTarget, DaVinci Configurator/Developer, CANoe for network simulation and ECU configuration. CAN bus analysis and competitor architecture reverse engineering.
AI / LLMs
Hands-on experience with Large Language Models — GPT, Claude, Gemini and open-source models. Applying LLMs to automotive use-cases: documentation generation, diagnostic assistants, and intelligent embedded product interfaces.
Prompt Engineering
Advanced prompt design for complex multi-step reasoning, structured output generation, few-shot learning, and chain-of-thought techniques. Specialising in automotive domain prompting for technical document extraction and analysis.
RAG Pipelines
End-to-end Retrieval-Augmented Generation pipeline creation — vector databases, embeddings, chunking strategies, and hybrid search. Building RAG systems for automotive knowledge bases, technical spec retrieval, and intelligent Q&A.
Proficiency
ePowertrain / VCU
95%
ECU Virtualization
92%
AUTOSAR
90%
MATLAB / Simulink
88%
Python
82%
Embedded C
85%
dSPACE Toolchain
87%
Vector (CANoe)
83%
LLM Integration
88%
Prompt Engineering
90%
RAG Pipelines
85%
vVirtualTarget
DaVinci Configurator
DaVinci Developer
CANoe
MATLAB
Simulink
dSPACE SystemDesk
VEOS Player
ControlDesk
Reactis
MXAM Drive
Embedded Coder
Python
Embedded C
Linux / UNIX
AutomationDesk
GPT-4 / Claude / Gemini
LangChain
RAG Pipelines
Vector Databases
Prompt Engineering
Embeddings
Emerging Expertise
AI · LLMs ·
RAG.
RAG.
Beyond automotive hardware, I bring strong hands-on experience with Large Language Models, advanced prompt engineering, and building production RAG pipelines. At Planet Material Labs, I'm actively converging these AI capabilities with embedded automotive systems — creating intelligent products that understand technical documentation, reason over vehicle data, and assist engineers in real time.
// Currently working with
LLM Integration
Deploying and fine-tuning large language models for domain-specific automotive applications. API integration with GPT, Claude, and Gemini for intelligent document parsing, diagnostic reasoning, and requirements generation.
Prompt Engineering
Designing advanced prompt architectures — system prompts, few-shot examples, chain-of-thought reasoning, and structured output schemas. Specialising in prompts for technical automotive documentation, AUTOSAR spec analysis, and code generation.
RAG Pipeline Creation
End-to-end RAG system design: document ingestion, chunking strategy, embedding model selection, vector store setup, hybrid retrieval, and grounded response generation. Built RAG systems on top of automotive knowledge bases and technical spec corpora.
Automotive AI Fusion
Unique intersection of deep automotive engineering and AI — building LLM-powered tools for vehicle diagnostics, ECU documentation Q&A, AUTOSAR compliance checking, and embedded product intelligence.
Career
WORK HISTORY
Planet Material Labs
PRODUCT LEAD
Directing AI + Embedded product strategy. Full ownership of technology roadmap, team direction, and delivery from concept to production.
Planet Electric Inc
TECHNICAL LEAD
End-to-end ePowertrain ownership. Led supplier negotiations, vehicle architecture decisions, and cross-team delivery for two commercial EV programs.
Bosch · Mercedes-Benz AG
SiL LEAD
Single point of contact for vECU releases. Led 5+ cross-functional stakeholder groups, defined CI integration processes, and owned customer-facing delivery.
Feb 2026 — Present
PLANET MATERIAL LABS
Lead — AI & Embedded Products
🏆 Product Lead
🧠 AI Strategy
⚡ Team Builder
Leading the full product vision and development of AI-powered embedded systems. Driving LLM integration, RAG pipeline design, and intelligent product roadmaps — merging a decade of automotive domain expertise with cutting-edge AI to ship production-grade solutions. Responsible for technology direction, team mentoring, and cross-functional stakeholder alignment.
May 2024 — Feb 2026
PLANET ELECTRIC INC
ePowertrain Lead & VCU Lead
🏆 Technical Lead
⚡ ePowertrain
🚗 VCU Architect
👥 Supplier Management
Sole technical lead owning end-to-end ePowertrain architecture for the 1-Ton & 1.5-Ton eLCV programs. Orchestrated component sizing, vehicle simulation (IDC/MIDC), and electrical system requirements across Battery, Motor, VCU, and Cluster. Led supplier identification visits and technical negotiations. Independently spearheaded the Last Mile eLCV Retrofit — reverse-engineered competitor CAN data, designed new cluster firmware, and re-integrated a complete powertrain into a lightweight chassis structure.
Jan 2021 — May 2024
BOSCH GLOBAL
SiL Lead Engineer
🏆 SiL Lead
🚘 Mercedes-Benz AG
👥 Cross-Functional Lead
🔁 CI/CD Owner
Led SiL integration for Mercedes-Benz AG's Body Controller ECU Virtualization (Type-3), managing MY 2024 feature delivery from requirements to customer release. Owned coordination across Hardware-SW Integrators, Architects, Developers, V&V, and SW Management. Defined SiL integration processes and CI standards, automated recurring manual change cycles, and was the single point of contact for customer clarifications and release gate decisions.
Jan 2017 — Nov 2020
KPIT TECHNOLOGIES
Automotive & Engineering Developer
Delivered three major programs for Fiat Chrysler Automotive (FCA USA LLC): Physics-Based Model-Based Development for Powertrain SWCs, ECU Virtualization using dSPACE toolchain with full Python automation, and AUTOSAR migration of hybrid ePowertrain algorithms with multi-ring architecture support.
Portfolio
KEY PROJECTS
Planet Electric Inc
eLCV 1T & 1.5T HW/SW Architecture
ePowertrain Lead
Full e-powertrain architecture design. Vehicle simulation for Range, Load & Torque across IDC/MIDC drive cycles. Electrical component requirement creation including Battery, Motor & VCU.
Planet Electric Inc
Last Mile eLCV 1T Retrofit
ePowertrain Lead
Full cargo vehicle retrofit — CAN data reverse-engineering, safety-compliant dismantle planning, new Cluster development, and powertrain re-integration onto lightweight chassis.
Mercedes-Benz AG · Bosch
Body Controller ECU Virtualization
Lead SiL Integrator — Type-3 vECU
MY 2024 feature delivery for Type-3 Virtual ECU. Hardware abstraction, virtual driver implementation, CI automation, AUTOSAR-compliant SW integration, and AutomationDesk test environment support.
FCA USA · KPIT
ePT-Hybrid AUTOSAR Migration
Senior Software Developer
Multi-ring architecture AUTOSAR migration for electric & hybrid powertrain. Full round-trip model development, ARXML creation, auto code gen via Embedded Coder, MIL/SIL functional testing.
FCA USA · KPIT
Powertrain ECU Virtualization
Senior Software Developer
Full Powertrain vECU pipeline using dSPACE ecosystem — SystemDesk, VEOS Player, ControlDesk. End-to-end Python automation of .sic, .sdf generation and test environment. Custom UI utility tool with .exe installer.
FCA USA · KPIT
Powertrain Physics-Based MBD
Automotive & Engineering Developer
SWC development across Combustion Control, Fuel Flow, Gas Flow, After-Treatment. Complete Simulink model development from legacy CPP/SRD, MAAB compliance testing, full ADD documentation.
Get In Touch
LET'S BUILD THE FUTURE OF MOBILITY