Headline

Senior Technical Product Manager | AI/ML & Data Platforms | Driving ADAS & Driver Monitoring Systems @ Mercedes-Benz | Product Strategy, Roadmapping, 0→1 to Scale

About

I'm a Senior Technical Product Manager with 9+ years building AI, ML, and data platforms — most recently leading Data & AI products for ADAS and Driver Monitoring Systems at Mercedes-Benz, where my platforms process petabytes of multi-sensor data powering safety features across global vehicle lines. I specialize in taking products from 0→1 to scale: defining product vision and roadmaps, writing PRDs, aligning OKRs across engineering, data science, UX, and supplier partners, and turning ambiguous technical problems into shippable, measurable outcomes. Recent impact: • Improved annotation accuracy 25% and cut labeling cycle time 40% by rebuilding a GCP-based Data Labeling Platform's taxonomy, QA, and workflow systems build AI enginnering. • Reduced manual reporting effort by 70 hrs/month and overall annotation time by 20% through workflow orchestration and dashboarding. • Drove a 33% gain in operational efficiency by setting the roadmap for a multi-carline Lab Simulation & Data Acquisition platform, deployed globally. • Partnered with AI/ML engineering teams to ship Face Detection, Occupancy Detection, and core Driver Monitoring System capabilities. Core strengths: Product Strategy & Roadmapping · AI/ML & Computer Vision Products · Data Platform & Pipeline Strategy · Cross-Functional & Executive Stakeholder Management · Agile/SAFe & PRD Ownership · Go-To-Market & Adoption Strategy.

Location

Greater Bengaluru Area

AI stack

langchain

langgraph

notebooklm

claudecode

ChatGPT

Microsoft Copilot

Work experience

Senior Product Manager at Mercedes-Benz Research and Development India, Jan 2025 - Present · 1 y 8 mo, Bengaluru, Karnataka, India

Product Owner | Senior Technical Product Lead | Intelligent Interior Sensing | Data Products at Mercedes-Benz Research and Development India, Apr 2023 - Jan 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, Led the ideation, development, and end-to-end execution of Data Products enabling the Driver Monitoring System (DMS) across Mercedes-Benz vehicles, aligning business goals with technical execution. • Defined product vision and prioritized roadmap for the development of a Lab Simulation Environment, automating data collection across multiple carlines, resulting in substantial cost savings and a 33% increase in operational efficiency. • Directed cross-functional teams to successfully launch a Multi-Sensor Data Acquisition & Spot Data Validation Platform, deployed globally, enabling high-volume, sensor-fused data collection from diverse sensor technologies, supporting the DMS and related features. • Collaborated with a team of AI engineers to deliver impactful safety features such as Face Detection, Occupancy Detection, and core Driver Monitoring System functionality, ensuring alignment with both technical requirements and user experience objectives. • Partnered with data engineering teams to define data pipeline requirements for scalable multi-sensor data transformations, ensuring robust data handling and supporting petabytes of data and diverse set of datasets, optimizing the entire machine learning lifecycle.

Senior Engineer - Data & Analytics at Mercedes-Benz Research and Development India, Oct 2021 - Apr 2023 · 1 yr 7 mos, Bangalore Urban, Karnataka, India, • Defined product strategy and led the execution of ground truth transformation pipelines and data collection strategies, establishing foundational elements of the machine learning workflow for interior sensing applications, ensuring alignment with product goals and technical requirements. • Spearheaded data and analytics initiatives for Interior Sensing, driving product insights into 3D Computer Vision algorithm performance across multiple advanced sensors. Led the development of 3D Visualization modules to monitor and evaluate algorithm outputs against ground truth data, significantly improving model validation, debugging, and performance tracking. • Managed the Data Analytics Platform, overseeing the visualization of multi-sensor fused data, sensor health, data quality, and system trends, enabling real-time operational insights and helping cross-functional teams make data-driven decisions to optimize system performance.

Associate Consultant - Product Analytics (Customer Data Platform) at Servian, May 2020 - Oct 2021 · 1 yr 6 mos, Bengaluru, Karnataka, • Defined product requirements and analytics roadmap for Customer Data Platform (CDP) initiative, designing unified customer data models and scalable cloud data pipelines to enable real-time segmentation for marketing and sales teams. • Built operational, behavioral and transactional customer profiles supporting targeted campaign personalization, A/B testing of promotions, and lifecycle-based engagement strategies. • Developed a near real-time KPI dashboards enabling stakeholders to track user growth rate, churn reduction, campaign conversion lift, and ARR impact, directly informing GTM prioritization and budget allocation. • Partnered with marketing and growth teams to implement experimentation frameworks, measuring uplift across acquisition, activation, and retention funnels. Improved data reliability and freshness by redesigning cloud-based ETL pipelines, reducing latency and enhancing segmentation accuracy. Tools used: - Azure Data Factory - Azure SQL Factory - Azure Databricks. - Power BI - Power Apps Domain Knowledge: Marketing, Sales, Financial Systems, Investment Firms

Application Development Analyst at Accenture, May 2019 - May 2020 · 1 yr 1 mo, Bangalore

Application Developer Associate at Accenture, May 2017 - Apr 2019 · 2 yrs, Bangalore, India, Worked as an Associate Developer. # Built a custom made Reporting Dashboard in Python on a web page. Libraries used: Matplotlib, Numpy, Pandas ,mpld3 etc. # Built an Automated Test Creation and Defect Analysis Tool which can create Test Cases and Test Scripts from Use Cases and also analyse and choose relevant Testcases to execute from defects in Python using Information Retrieval ,NLP Techniques and ML concepts . # Worked for an reputed client in Transport Industry on Automating Embedded System Application with the help of custom made C# Frameworks along with UFT and SeeTest for Android Testing.

Project Intern at Indian Institute of Technology (Banaras Hindu University), Varanasi, Dec 2016 - Mar 2017 · 4 mos, Varanasi Area, India, # Worked on an NLP Project on Parts Of Speech Tagging of Regional Languages. Dataset: Custom build dataset provided by the linguistic department of BHU. Programming Language : Python. Field: Natural Language Processing, Machine Learning. Tools used: CRF++, SVM , Markov Models, HMM's for finding which model provides with the best accuracy, recall, precision and F-score.

Internship at Airports Authority of India, May 2016 - Jun 2016 · 2 mos, Dumdum,Kolkata area, Vocational Training in the field of Electrical Engineering (MATLAB Tool) in the Department of Electrical Engineering, Airports Authority of India, Netaji Subhas Chandra Bose International Airport.

Education

B.Tech, Electrical Engineering Technologies/Technicians, Kalinga Institute of Industrial Technology, Bhubaneswar

Online, Artificial Intelligence, Deep Learning.ai