Harmeet S. — Lead ML Engineer
As a Machine Learning Engineer at WBD, I design and deploy end-to-end Machine Learning systems that enhance the ML lifecycle, improve model quality, and serve models at scale. With over 8 years of experience across software engineering, machine learning, and research, I specialize in creating robust, scalable, and impactful AI solutions. I prioritize system architecture and seamless integration with tools such as feature stores, monitoring systems, and logging services. My experience building an ML Platform, deploying LLM applications, and developing models at WBD has underscored the importance of understanding the entire system to create solutions that function effectively in production across diverse products. Beyond technical skills, I bring a product-first mindset—focusing on solving real-world problems rather than just improving model metrics. I thrive on collaboration, bridging gaps between product, business, and technical teams to ensure alignment and deliver meaningful user impact. Grounded in ML fundamentals, I balance staying updated on advancements with a strong focus on practical, maintainable solutions tailored to specific use cases. I write production-grade code that is scalable, maintainable, and optimized for performance, ensuring a smooth transition from development to production. My academic training, which included an MS in Computer Science from UCSB and a Dual Degree in Computer Science and Engineering from IIT Kanpur, has equipped me with strong analytical skills, a structured approach to problem-solving, and a deep understanding of algorithms and logical thinking.
Stackforce AI infers this person is a Machine Learning Engineer specializing in scalable AI solutions for streaming applications.
Location: Seattle, Washington, United States
Experience: 11 yrs 5 mos
Skills
- Machine Learning
- Amazon Web Services
- Mlops
- Python
- Software Development
- Cloud Computing
Career Highlights
- Designed ML systems serving millions of users.
- Expert in deploying scalable AI solutions.
- Strong collaboration between technical and product teams.
Work Experience
Warner Bros. Discovery
Staff Machine Learning Engineer (2 yrs 10 mos)
Machine Learning Engineer II (1 yr 1 mo)
Discovery Inc
Machine Learning Engineer II (4 yrs 5 mos)
Amazon
Software Engineer II (1 yr 4 mos)
FastSpring
Software Engineer Intern (3 mos)
Machine Learning & Software Development Grad Student
Master's Student in ML and CS (1 yr 11 mos)
Goldman Sachs
Associate (1 mo)
Analyst (1 yr 6 mos)
Microsoft
Research Fellow (1 yr)
Microsoft
Software Development Engineer in Test (1 yr 3 mos)
Education
Master of Science - MS at UC Santa Barbara
Certificate at UW Professional & Continuing Education
Bachelor of Technology - BTech at Indian Institute of Technology, Kanpur
Master of Technology - MTech at Indian Institute of Technology, Kanpur
