Hi, I'm
I'm a Lead GenAI Engineer at Trimble Transportation in Germany, leading the development of Trimble-wide AI across internal and customer-facing platforms. I lead a team of 11 engineers shipping agentic workflows, RAG pipelines, self-healing systems, and multi-agent architectures to production, not just impressive demos. The self-healing layer is what lets us build state-of-the-art agentic experiences across a range of capabilities.
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 fell deep into the ML/AI rabbit hole. Since then I've led five teams across research and industry: reinforcement learning for Kubernetes scheduling at Leibniz University, production ML at DISH Digital where my approach to model and infrastructure design cut costs by 30%, and now GenAI strategy at Trimble. Along the way I co-founded Arelis AI as technical co-founder and Head of AI, owning the early product and architecture for GenAI governance and compliance (ISO 42001, EU AI Act readiness).
What I enjoy most is the messy middle: taking a vague business problem, deciding which parts actually need an LLM, building the thing, and making sure it doesn't fall over at 3 AM. But the bigger lever is people and direction: hiring, mentoring engineers, setting AI strategy, and putting the guardrails in place so AI turns into real business outcomes instead of promising demos. That mix of hands-on engineering and team leadership is where I do my best work, and where I spend most of my time today.
My technical toolkit is built around cloud-native AI development, with a focus on implementing scalable and responsible ML systems.
OpenAI
Anthropic
Gemini
Mistral
Hugging Face
Ollama
Groq
LangChain
LangGraph
LangSmith
LlamaIndex
CrewAI
MCP
n8n
AWS
Bedrock
GCP
Vertex AI
Azure
Azure AI
Docker
Kubernetes
Terraform
Databricks
MLflow
dbt
FastAPI
PyTorch
TensorFlowA selection of projects that showcase my expertise in Generative AI, RAG, Multi-Agent, and cloud-native AI development. Click on a card for more details.
Otto von Guericke University - Magdeburg, Germany (2022)
Specialization in Machine Learning, Deep Learning & Reinforcement Learning
Guru Gobind Singh Indraprastha University - Delhi, India (2015)
Specialization in Object Oriented Programming, Web Development & DBMS
Google Certified (2024)
Certified Professional Machine Learning Engineer with hands-on experience in building, deploying, and fine-tuning machine learning models on Google Cloud.
Verify
HashiCorp Certified (2025)
Certified in Infrastructure as Code, automation, and state management for scalable cloud deployments supporting AI and MLOps.
Verify
Databricks Certified (2025)
Certified in configuring and optimizing Databricks on AWS for enterprise-grade analytics and ML solutions.
VerifyProject 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 LetterSenior 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 LetterI write about building production GenAI systems, multi-agent architectures, RAG, and agent tooling, mostly on Medium.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.