ML Technical Lead with experience working on domains such as AdTech, MarTech and Healthcare

Machine Learning & AI Tech Lead | AdTech & MarTech Innovator | Data Science Enthusiast

As a dynamic and versatile Engineering Leader with over 17 years in software development and 7+ years in engineering management, I specialize in leading high-impact teams at the intersection of AI, data science, and scalable infrastructure. My expertise spans front-end applications, distributed systems, data pipelines, and AI-driven automation, with a strong focus on applying machine learning to real-world challenges in AdTech and MarTech.

Currently, as a Senior Software Engineering Manager at Roku Ads, I drive AI-powered innovations in data segmentation, experimentation, and ad-serving technologies. By integrating Generative AI into client applications, I enhance user experiences and optimize business efficiencies. My strategic leadership has enabled experimentation frameworks that support 100+ practitioners, running 50+ tests per quarter, reinforcing a data-driven culture at Roku.

Beyond AdTech, I have a deep interest in leveraging AI for social impact, particularly in healthcare analytics. My background in statistical modeling, predictive analytics, and large-scale data processing makes me well-suited for data-driven research initiatives. I am eager to apply my expertise to solving complex maternal health challenges through AI, machine learning, and data science techniques.

With an MBA from UC Berkeley Haas and a Master’s in Electrical Engineering from NC State University, I combine technical depth with business acumen, ensuring AI solutions align with strategic goals. Whether scaling ML models, optimizing ad algorithms, or applying AI for healthcare insights, I thrive at the intersection of data, technology, and innovation.

Key Expertise: Machine Learning, AI, Data Science, AdTech, MarTech, Healthcare Analytics
Tech Stack: Python, R, PyTorch, Spark, Kafka, AWS, DynamoDB, Airflow
Passion Areas: AI-Driven Decision Making, Experimentation Frameworks, Ethical AI, Public Health Analytics