Pawan Kumar

01.

About Me

I'm a Lead GenAI Engineer at Trimble Transportation in Germany, where I build AI systems that actually ship to production, not just impressive demos. My day-to-day involves designing agentic workflows, RAG pipelines, and multi-agent systems that help move freight and logistics forward for thousands of users.

I got into tech back in 2015 as a software engineer at Infosys, building enterprise applications. Then I moved to Germany for my Master's, and somewhere along the way fell deep into the ML/AI rabbit hole. Since then I've gone from research (reinforcement learning for Kubernetes scheduling at Leibniz University) to leading production ML at DISH Digital, and now to running GenAI initiatives at Trimble. Each step taught me something different: writing reliable code, thinking in systems, and knowing when a simpler solution beats a clever one.

What I enjoy most is the messy middle: taking a vague product idea, figuring out which parts actually need an LLM, building the thing, and making sure it doesn't fall over at 3 AM. I also spend a lot of time mentoring engineers and writing about what I learn, partly to help others, partly because explaining something is the fastest way to find the gaps in your own understanding.

At a Glance

Experience 10+ Years in Tech

Leadership 5+ Teams Led

Education M.Sc. Digital Engineering

Certifications Google, Terraform, Databricks

Location Germany

Methodology Agile & Scrum

Focus Enterprise AI Solutions

Specialization GenAI & Agentic Workflows

02.

Experience

Lead GenAI/ML Engineer

Oct 2025 – Present Trimble Transportation

Architect and develop cutting-edge, LLM-based agentic applications using frameworks like LangChain and LangGraph, from design to production deployment.
Implement and optimize advanced Retrieval-Augmented Generation (RAG) pipelines, utilizing techniques like hybrid search, query translation, and fine-tuning.
Design scalable, cloud-native AI systems with a microservices architecture, and establish robust LLM observability and monitoring using Datadog and Databricks.
Lead and mentor engineers in building GenAI solutions, while collaborating with global, cross-functional teams in an agile environment to ensure timely delivery.

Senior Machine Learning Engineer

March 2022 – Sep 2025 DISH Digital Solutions GmbH

Led technical direction for cross-functional GenAI initiatives, delivering 5+ production-grade agentic workflows.
Standardized MLOps practices across 5+ business units by designing and implementing CI/CD pipelines and governance protocols.
Architected and operationalized cloud-native ML infrastructure on GCP, achieving 30% cost savings.
Established AI governance frameworks across AI use cases, integrating responsible AI practices.

Machine Learning Research Assistant

Apr 2021 – Feb 2022 Leibniz University Hannover

Designed RL-based scheduling algorithm for Kubernetes clusters under EU-funded Braine Project, improving resource utilization by 40%.
Researched advanced RL algorithms, developing and maintaining distributed ML experiments on Kubernetes clusters for real-time applications.

Software Engineer

Nov 2015 – Aug 2018 Infosys Ltd.

Managed deployment and runtime operations for enterprise Java applications on WebSphere and WebLogic, ensuring 99.9% system availability.
Collaborated with cross-functional teams to troubleshoot deployment pipelines and support production rollouts.

03.

Skills

My technical toolkit is built around cloud-native AI development, with a focus on implementing scalable and responsible ML systems.

OpenAI

Anthropic

Gemini

Llama 3

Mistral

Hugging Face

LangChain

LangSmith

LlamaIndex

CrewAI

n8n

Pinecone

AWS

GCP

Azure

Docker

Kubernetes

Terraform

MLflow

dbt

FastAPI

Ollama

Groq

PyTorch

TensorFlow

05.

Credentials

Education

M.Sc. Digital Engineering

Otto von Guericke University - Magdeburg, Germany (2022)

Specialization in Machine Learning, Deep Learning & Reinforcement Learning

B.Sc. Computer Science

Guru Gobind Singh Indraprastha University - Delhi, India (2015)

Specialization in Object Oriented Programming, Web Development & DBMS

Certifications

Professional Machine Learning Engineer

Google Certified (May 2024 - Present)

Certified Professional Machine Learning Engineer with hands-on experience in building, deploying, and fine-tuning machine learning models on Google Cloud.

Verify

Terraform Associate (003)

HashiCorp Certified (Mar 2025 - Present)

Certified in Infrastructure as Code, automation, and state management for scalable cloud deployments supporting AI and MLOps.

Verify

AWS Platform Architect

Databricks Certified (May 2025 - Present)

Certified in configuring and optimizing Databricks on AWS for enterprise-grade analytics and ML solutions.

Verify

06.

References & Endorsements

Dr. Javad Chamanara

Project Lead, Forschungszentrum L3S – Leibniz University Hannover

"Pawan Kumar demonstrated exceptional technical depth and initiative during his time at L3S. His contributions to machine learning-driven healthcare simulation and edge orchestration were delivered with a high degree of autonomy and rigor. His professionalism and dedication left a lasting impact on our research efforts."

Recommendation Letter

Ramon Marrero

Senior Head of Data/ML Operations, DISH Digital Solutions GmbH

"Pawan is a rare talent who combines deep technical expertise with business acumen and cross-functional leadership. His GenAI solutions, cloud migration strategies, and CI/CD automation have tangibly improved our operational KPIs. He is a force multiplier for enterprise-scale AI initiatives and a cornerstone of our ML engineering team."

Recommendation Letter

07.