About Me
With over a decade of experience in data science and engineering, I specialize in building scalable data solutions that drive business value. My expertise spans from recommendation systems and marketing optimization to generative AI applications. I'm passionate about leveraging cutting-edge technologies, particularly in the GenAI space, to solve complex business challenges. Beyond building solutions, I enjoy contributing to the tech community through technical writing and open-source contributions, sharing insights about data science, ML, and AI applications.
Areas of Expertise
Data Science Leadership
Driving data science initiatives from ideation to production, with a focus on both traditional ML and generative AI applications. Building and leading experimentation frameworks while fostering a data-driven culture that delivers measurable business impact.
Recommender Systems
Specializing in building and optimizing recommendation engines at scale. Deep expertise in addressing cold start challenges, improving personalization effectiveness, and leveraging cutting-edge technologies including generative AI to enhance recommendation quality.
Machine Learning Infrastructure
Designing and implementing scalable ML infrastructure that powers both traditional and generative AI applications. Focus on robust production systems, optimized data pipelines, and maintaining high performance at scale.
Open Source Contributions
Awesome Spark
Member and contributor to the Awesome Spark curated list of useful resources for Apache Spark, helping maintain a vital resource for the Spark community.
Stack Overflow Contributions
Top 3 all-time answerer for Apache Spark on Stack Overflow, actively helping developers solve complex problems with distributed computing and data processing.
Latest Articles
Delving Deeper into Recommender Systems: From Basics to State of the Art
A comprehensive guide exploring recommender systems foundations, modern architectures, and advanced techniques for building effective recommendation engines.
Deep Dive into Matrix Factorization for Recommender Systems
Detailed exploration of matrix factorization techniques, from theoretical foundations to practical implementation strategies for recommendation systems.
Latest GitHub Projects
Technical Skills
Writing & Community
Technical Writing
I regularly write about Recommender Systems, Data Science, and Marketing Analytics on Medium. My articles focus on practical insights and experiences in building data-driven solutions.
Community Impact
Active contributor to technical discussions on Stack Overflow, Quora, and various technical forums, sharing knowledge and helping others in the data science community.