Lead GenAI/ML Engineer | Agentic Workflows | Cloud Native AI
With 7+ years of experience and currently serving as a Lead GenAI/ML Engineer, I specialize in designing and deploying advanced LLM-driven agentic applications. My focus is on building scalable, robust, and responsible AI systems that address complex business challenges through frameworks like LangChain and cutting-edge RAG techniques.
I have a strong track record of translating product vision into cloud-native, microservices-based architectures, ensuring scalability and reliability from design to production. My technical leadership spans the full lifecycle — from solution design to observability and monitoring with tools such as Datadog and Databricks.
Deeply engaged with the fast-evolving AI landscape, I stay current with fine-tuning, RLHF, and prompt engineering innovations. I’m equally passionate about mentoring and enabling teams, fostering technical excellence, and driving delivery of high-impact AI solutions.
Beyond my role, I contribute actively to the ML and GenAI community on GitHub and Medium, believing in open collaboration and knowledge sharing as the cornerstone of building the future of AI.
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.”
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.”
My technical toolkit is built around cloud-native AI development, with a focus on implementing scalable and responsible ML systems.
A 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 (May 2024 - Present)
Certified Professional Machine Learning Engineer with hands-on experience in building, deploying, and fine-tuning machine learning models on Google Cloud. Skilled at working with complex datasets, writing reusable code, and committed to incorporating responsible AI practices to ensure fairness.
Verify CertificationHashiCorp Certified (Mar 2025 - Present)
Certified Terraform Associate with hands-on experience in designing, provisioning, and managing cloud infrastructure using Terraform. Skilled in Infrastructure as Code (IaC), automation, and state management, ensuring scalable and secure deployments that support AI and MLOps.
Verify CertificationDatabricks Certified (May 2025 - Present)
Certified Databricks AWS Platform Architect with expertise in configuring and optimizing Databricks on AWS. Proficient in platform administration, account API usage, integrating external storage, and implementing secure cloud services. Skilled in managing customer-managed VPCs and encryption keys for enterprise-grade analytics and ML solutions.
Verify CertificationI'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.