Debanjan Ghosh profile photo 1 on Tal

Debanjan Ghosh

Product Strategy | Ex-Mercedes-Benz | ESADE MBA | AI-Enabled Platforms & Autonomous Systems | Cloud-Native Products | Data Platforms

Germany

6+ years of work experience

Meyrahkee Advisors
Aug 20262 mosPresent

Bengaluru, Karnataka, India

Working directly with the CEO on Meyrahkee's expansion into the US market — sizing the opportunity, mapping the competitive landscape, and defining the entry approach.
Flint
May 20263 mosJul 2026

Barcelona, Catalonia, Spain

- Developed a zero-budget growth strategy for Flint's social media presence. - Analyze ideal customers and competitors to build strategic positioning for Flint. - Converted the analysis into a prioritised product development roadmap with success metrics.
Mercedes-Benz Research and Development India
Feb 20223 yrs 6 mosJul 2025

Bengaluru, Karnataka, India

• Owned HD Map Platform for SAE L3 Autonomous Driving: Identified processing speed as critical bottleneck preventing timely ADAS software development. Shipped a multiprocessing solution that reduced data processing time by 40%, enabling faster iteration cycles for ADAS/AD teams. Result: Accelerated time-to-market for L3 features across 3 regions. • Designed Automated QA System to Eliminate Manual Bottleneck: Discovered manual SD map verification consuming 3-4 hours/week for the team and creating deployment delays. Defined product requirements for an automated quality-monitoring system to rate map data pre-deployment. Shipped solution that eliminated 90% of manual work, improved data reliability, and freed engineering capacity for higher-value work. Impact: Reduced deployment cycle time by 50% and improved map content reliability. • Led Engineering Team Within SAFe Framework: Managed 7 engineers and managed stakeholders across India, China, and Germany to deliver map platform features aligned with downstream ADAS/AD teams. Established weekly sync meeting across 3 time zones and defined clear handoff protocols with ADAS/AD teams. Result: Achieved 100% on-time delivery while maintaining audit compliance. • Standardized Architecture Across 4 Regions to Reduce Deployment Cycle: Standardised map architecture and data sharing protocol across EU and India teams to reduce rework and compliance delays. Defined C4-based solution architecture standards and security patterns that all regions could adopt. Result: Reduced design-to-deployment time by 25% and enabled faster feature rollout. • Led Cloud Migration to Improve Economics and Performance: Analyzed on-premises infrastructure costs with cloud cost. Defined migration strategy for 50+ geospatial microservices to GCP. Managed technical execution while tracking business metrics. Result: Achieved 30% TCO reduction, 3× faster processing on TB-scale workflows, and improved system reliability.
Cognizant
Oct 20201 yr 5 mosFeb 2022

Kolkata, West Bengal, India

- Advised a healthcare client's business executives on cloud architecture requirements for a $450K AWS infrastructure RFP, translating commercial constraints into a defensible technical solution that won the engagement and opened an ongoing strategic partnership. - Designed and delivered an enterprise data lake processing 2M+ customer and sales records daily, cutting data availability latency from 24 hours to 4 and enabling near real-time analytics across EMEA. - Ran requirements discovery with client business teams, converting open-ended business questions into scoped technical deliverables and delivery milestones.
Cognizant
Oct 20191 yr 1 moOct 2020

- Delivered a data warehouse for a leading pharmaceutical client, building scalable ETL pipelines across North America operations with data governance practices embedded to maintain compliance in a regulated healthcare environment. - Mentored junior developers and distributed module ownership across the team, accelerating onboarding and lifting delivery velocity.

Debanjan’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
mcp
mcp
openai
openai
CrewAI
CrewAI

Education

Esade

MBA, Entrepreneurship

Esade

20251 yr2026
BITS Pilani Work Integrated Learning Programmes

Master of Technology - MTech, Data Science & Engineering

BITS Pilani Work Integrated Learning Programmes

20212 yrs2023

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Headline

Product Strategy | Ex-Mercedes-Benz | ESADE MBA | AI-Enabled Platforms & Autonomous Systems | Cloud-Native Products | Data Platforms

About

I build products that scale. Over 6 years, I've shipped AI-enabled platforms and data infrastructure that moved the needle, whether that's building enterprise scale data infrastructure or quality monitoring before deploying to all Mercedes cars. ► What I do: Define product strategy for complex, technical domains. Lead cross-functional teams across geographies. Translate business problems into scalable technical solutions. ► What I've learned: The best products live at the intersection of user need, technical feasibility, and business viability. I obsess over that intersection. ► Currently: Pursuing an MBA at ESADE focused on AI-driven product strategy. Exploring opportunities to lead product for AI/ML-first companies or scale-stage startups. ► Let's talk if: You're building products in autonomous systems, enterprise AI, data platforms, or cloud infrastructure.

Location

Germany

AI stack

claude code

claude

github copilot

mcp

openai

CrewAI

Work experience

Founder's Office - Associate at Meyrahkee Advisors, Aug 2026 - Present · 2 mos, Bengaluru, Karnataka, India, Working directly with the CEO on Meyrahkee's expansion into the US market — sizing the opportunity, mapping the competitive landscape, and defining the entry approach.

Social Media Marketing Collaborator at Flint, May 2026 - Jul 2026 · 3 mos, Barcelona, Catalonia, Spain, - Developed a zero-budget growth strategy for Flint's social media presence. - Analyze ideal customers and competitors to build strategic positioning for Flint. - Converted the analysis into a prioritised product development roadmap with success metrics.

Product Owner, Autonomous Driving Software at Mercedes-Benz Research and Development India, Feb 2022 - Jul 2025 · 3 yrs 6 mos, Bengaluru, Karnataka, India, • Owned HD Map Platform for SAE L3 Autonomous Driving: Identified processing speed as critical bottleneck preventing timely ADAS software development. Shipped a multiprocessing solution that reduced data processing time by 40%, enabling faster iteration cycles for ADAS/AD teams. Result: Accelerated time-to-market for L3 features across 3 regions. • Designed Automated QA System to Eliminate Manual Bottleneck: Discovered manual SD map verification consuming 3-4 hours/week for the team and creating deployment delays. Defined product requirements for an automated quality-monitoring system to rate map data pre-deployment. Shipped solution that eliminated 90% of manual work, improved data reliability, and freed engineering capacity for higher-value work. Impact: Reduced deployment cycle time by 50% and improved map content reliability. • Led Engineering Team Within SAFe Framework: Managed 7 engineers and managed stakeholders across India, China, and Germany to deliver map platform features aligned with downstream ADAS/AD teams. Established weekly sync meeting across 3 time zones and defined clear handoff protocols with ADAS/AD teams. Result: Achieved 100% on-time delivery while maintaining audit compliance. • Standardized Architecture Across 4 Regions to Reduce Deployment Cycle: Standardised map architecture and data sharing protocol across EU and India teams to reduce rework and compliance delays. Defined C4-based solution architecture standards and security patterns that all regions could adopt. Result: Reduced design-to-deployment time by 25% and enabled faster feature rollout. • Led Cloud Migration to Improve Economics and Performance: Analyzed on-premises infrastructure costs with cloud cost. Defined migration strategy for 50+ geospatial microservices to GCP. Managed technical execution while tracking business metrics. Result: Achieved 30% TCO reduction, 3× faster processing on TB-scale workflows, and improved system reliability.

Programmer Analyst at Cognizant, Oct 2020 - Feb 2022 · 1 yr 5 mos, Kolkata, West Bengal, India, - Advised a healthcare client's business executives on cloud architecture requirements for a $450K AWS infrastructure RFP, translating commercial constraints into a defensible technical solution that won the engagement and opened an ongoing strategic partnership. - Designed and delivered an enterprise data lake processing 2M+ customer and sales records daily, cutting data availability latency from 24 hours to 4 and enabling near real-time analytics across EMEA. - Ran requirements discovery with client business teams, converting open-ended business questions into scoped technical deliverables and delivery milestones.

Programmer Analyst Trainee at Cognizant, Oct 2019 - Oct 2020 · 1 yr 1 mo, - Delivered a data warehouse for a leading pharmaceutical client, building scalable ETL pipelines across North America operations with data governance practices embedded to maintain compliance in a regulated healthcare environment. - Mentored junior developers and distributed module ownership across the team, accelerating onboarding and lifting delivery velocity.

Education

MBA, Entrepreneurship, Esade

Master of Technology - MTech, Data Science & Engineering, BITS Pilani Work Integrated Learning Programmes