Senior Machine Learning Engineer | NLP & GenAI | Cloud Native AI
With over 6+ years of professional experience, including more than 4 years specializing in NLP, LLMs, and Generative AI, I focus on building scalable and ethical AI systems ranging from RAG-powered chatbots to multi-modal agents, using tools like LangChain, Hugging Face, Vertex AI, SageMaker, crewAI and Terraform. My work bridges applied machine learning, infrastructure design, and business-aligned AI delivery.
I’ve led AI initiatives from architecture to production, enabling distributed deployments for 250+ users, reducing operational overhead by up to 40%, and increasing user engagement by 25%. From writing robust ML pipelines and implementing CI/CD workflows to setting up monitoring for continuous training, I take ownership of solutions end-to-end.
My technical focus includes building multi-agent orchestration systems, implementing guardrails for responsible AI use, and generating synthetic data to enhance quality and reduce annotation costs. I’ve also worked on advanced RAG architectures with hybrid retrievers and built evaluation frameworks to measure hallucination rates and factual consistency.
Outside of project delivery, I regularly contribute to the ML community on GitHub and Medium, and I mentor through workshops and peer sessions. I believe in creating practical, high-impact AI solutions while helping others grow along the way.
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.