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Pradeep S.-Product & Platform Leader – AI/ML, Data, Automation & Enterprise Software

Pradeep S. - Product & Platform Leader – AI/ML, Data, Automation & Enterprise Software - profile avatar
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Available
Berlin, Germany

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Experience

Jul 2023 - Present
Germany

Tech Product Lead – AI, Data & Platform Products

Elli GmbH- A brand of Volkswagen

Position summary
Tech Product Lead – AI, Data & Platform Products at Elli GmbH- A brand of Volkswagen
Industries
Automotive
Energy
Business areas
Information Technology
Product Development
  • Own the 12–18 month roadmap and key outcomes for Elli's enterprise customer platform, covering onboarding, pricing, billing, analytics and broader platform modernization; redesigned the Fleet onboarding funnel to double conversion, supporting a projected €20.7M revenue uplift by 2028.
  • Lead the broader Energy Intelligence product and directly own its AI/ML, asset and portfolio-optimization capabilities, including MLOps and safe strategy deployment, strategy lifecycle management and backtesting; delegated data and V2G integration roadmap ownership to a new PO as the platform scope expanded.
  • Built a Human-in-the-loop GenAI/RAG support workflow, increasing L1 resolution by 24%, routing accuracy to 91%, and reducing L2 workload by 30%.
  • Introduced standardized data contracts and a self-service Python toolkit for traders and Data Scientists, increasing platform adoption by 15% and reducing support effort by 50%.
  • Built and scaled a real-time orchestration product from 32 to 3,000+ endpoints across four markets, growing recurring revenue from €1.4k to €56.3k MRR.
  • Developed product and AI capability across the organization, training 20 PMs on RAG, agents and prototyping; mentoring a junior PM and coaching an Enterprise Platform Tech Lead toward Product Management ownership.
Sep 2022 - Jul 2023
Germany

Sr Technical Product Manager – Platform

B-On GmbH

Position summary
Sr Technical Product Manager – Platform at B-On GmbH
Industries
Automotive
Information Technology
Business areas
Information Technology
Product Development
  • Launched a 0 to 1 connected-asset SaaS platform across 2 pilot sites and ~40 chargers, covering fleet onboarding, telemetry, device management and operational workflows.
  • Built the backend and data product team from the ground up, defining roles, supporting hiring and setting the roadmap for telemetry, APIs, operational data and platform scalability.
  • Introduced battery testing and digital-twin workflows, using test and operational data to improve state-of-health modelling accuracy by ~4%.
  • Redirected an over-engineered architecture, avoiding an estimated 30–40% increase in unit cost while protecting scalability and margin.
Aug 2021 - Sep 2022
Germany

Solution Architect – Enterprise Platforms

Aras GmbH

Position summary
Solution Architect – Enterprise Platforms at Aras GmbH
Industries
Information Technology
Business areas
Information Technology
Product Development
  • Led product discovery and solution design with enterprise customers, translating complex data, document-management and workflow needs into scalable platform capabilities.
  • Co-architected a document-management product extension, expanding program value from €4.8M to €6.2M by solving version-control and supplier data-exchange gaps.
  • Delivered an enterprise platform rollout for ~80 users, coordinating onsite and offshore teams and laying the foundation to scale to 4,000+ users.
  • Introduced a 0 to 1 simulation-data workflow, improving engineering-data traceability and reducing duplication by ~20%.
Sep 2016 - Aug 2021
Finland

Tech Lead – Systems, Simulation & ML

Aurelia Turbines Oy

Position summary
Tech Lead – Systems, Simulation & ML at Aurelia Turbines Oy
Industries
Energy
Business areas
Information Technology
Product Development
  • Led a team of 4 simulation and systems engineers, owning modelling, testing, technical validation and delivery for a complex industrial product.
  • Built physics-based digital twins in Python and Modelica, achieving 94% agreement with physical test data and improving engineering decision-making.
  • Developed PyTorch LSTM degradation models using test and synthetic simulation data to predict system performance deterioration.
  • Integrated simulation, test data and control logic into engineering workflows, improving system performance by 4% and enabling faster technical iteration.
Sep 2010 - May 2014
Germany

Mechanical Engineer – Consultant

Airbus GmbH + Diehl Aircabin GmbH

Position summary
Mechanical Engineer – Consultant at Airbus GmbH + Diehl Aircabin GmbH
Industries
Aerospace and Defense
Business areas
Product Development
Quality Assurance
  • Led a 4-engineer work package and managed the technical interface with Airbus teams, improving delivery reliability and helping secure a €0.5M contract extension.
  • Automated design-quality and documentation workflows, reducing drawing rejection rates by 15%, while standardizing components to cut €50k per aircraft and reduce weight by 28 kg.

Industry experience

See where this freelancer has spent most of their professional time.

Experienced in Energy, Automotive, Aerospace and Defense, and Information Technology.

Energy
Automotive
Aerospace and Defense
Information Technology
Profile match chart

Business area experience

See which departments and functions this freelancer has contributed to most.

Experienced in Product Development, Information Technology, and Quality Assurance.

Product Development
Information Technology
Quality Assurance
Profile match chart

Summary

15+ years building complex technical products, with recent leadership across AI/ML, data and enterprise software platforms. Led 0 to 1 platforms, multi-team product strategy and commercialization, with hands-on depth in GenAI/RAG, MLOps, Python and APIs. Experienced in developing product talent and turning complex technology into measurable business outcomes.

Skills

Product & Leadership

  • 0 To 1 Product Strategy
  • Platform Strategy
  • Ai Product Strategy
  • Product Discovery
  • Commercialization
  • Team Building
  • Pm Coaching
  • Enterprise Saas

Data & Platform

  • Python
  • Sql
  • Apis
  • Data Contracts
  • Time-Series Data
  • Data Pipelines
  • Real-Time Systems
  • Self-Service Platforms
  • Backtesting
  • Shadow Deployment

Ai / Ml

  • Genai
  • Rag
  • Ai Agents
  • Human-In-The-Loop Ai
  • Mlops
  • Vertex Ai
  • Pytorch
  • Lstm
  • Forecasting
  • Model Evaluation & Governance

Cloud & Tooling

  • Gcp
  • Docker
  • Github Copilot
  • Aws/Azure Familiarity
  • Jira
  • Azure Devops
  • Confluence

Languages

Tamil
Native
English
Advanced
German
Elementary

Education

Sep 2023 - Aug 2025

ESMT Berlin

MBA · General Management & Business Innovation · Berlin, Germany

Aug 2014 - Aug 2016

KTH Royal Institute of Technology / Aristotle University of Thessaloniki

Joint Master of Science · Energy Technology · Sweden

Sep 2005 - May 2009

Anna University

Bachelor of Engineering · Aeronautical Engineering · India

Statistics

Experience

Total positions 5
Experience in Energy 8 y
Avg length 2 y 9 m
Longest experience 4 y 11 m

Global experience

Countries worked in 2 (Germany, Finland)
Primary country Germany

Expertise

Recent roles Tech Product Lead – AI, Data & Platform Products, Sr Technical Product Manager – Platform, Solution Architect – Enterprise Platforms
Main industries Energy, Automotive, Aerospace and Defense
Main business areas Product Development, Information Technology, Quality Assurance

Qualifications

Highest degree Master

Profile

Member since
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Frequently asked questions

Have questions? Find more information here.

Pradeep is based in Berlin, Germany.

Pradeep speaks the following languages: Tamil (Native), English (Advanced), German (Elementary).

Pradeep has at least 14 years of experience. During this time, Pradeep has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 3 years and 9 months. Note that Pradeep may not have shared all experience and actually has more experience.

Based on recent experience, Pradeep would be well-suited for roles such as: Tech Product Lead – AI, Data & Platform Products, Sr Technical Product Manager – Platform, Solution Architect – Enterprise Platforms.

Pradeep's most recent position is Tech Product Lead – AI, Data & Platform Products at Elli GmbH- A brand of Volkswagen.

In recent years, Pradeep has worked for Elli GmbH- A brand of Volkswagen, B-On GmbH, and Aras GmbH.

Pradeep is most experienced in industries like Energy, Automotive, and Aerospace and Defense. Pradeep also has some experience in Information Technology.

Pradeep is most experienced in business areas like Product Development, Information Technology, and Quality Assurance.

Pradeep has recently worked in industries like Automotive, Energy, and Information Technology.

Pradeep has recently worked in business areas like Information Technology and Product Development.

Pradeep holds a Master in General Management & Business Innovation from ESMT Berlin, a Master in Energy Technology from KTH Royal Institute of Technology / Aristotle University of Thessaloniki and a Bachelor in Aeronautical Engineering from Anna University.

Pradeep is immediately available full-time for suitable projects.

Daily rate distribution

0% 25% 50% 75% 100%
30% of experts charge less than €800 per day.
50% of experts charge between €800 and €1200 per day.
10% of experts charge between €1200 and €1600 per day.
10% of experts charge €1600 or more per day.
<€800 €800-​1200 €1200-​1600 €1600+

The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

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Rate comparison chart
Daily rate avg. 930 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
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250
Rate comparison chart
Median rate 980 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 5 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.