Hello, I'm
Chaitanya Parsana
ML/AI Engineer
Teaching algorithms to predict what you'll love before you know it yourself
Teaching algorithms to predict what you'll love before you know it yourself
Transforming data into intelligent solutions
Results-driven, product focused ML Engineer who thrives on solving complex personalization challenges at scale while pushing the boundaries of what is possible with emerging AI technologies. Known for architecting robust, maintainable systems that transform ambitious product visions into reality.
Expertise spans the entire ML life cycle from research prototyping to production deployment on streaming platforms serving millions of users. Currently based in San Francisco, consistently identifying opportunities to leverage cutting-edge capabilities for enhanced user experiences and measurable business impact.
Leading personalization initiatives across 9 global regions, architecting scalable ML platforms that serve 50M+ users with 99.9% uptime.
Built recommendation systems driving $5M+ additional revenue while leading customer analytics for 7M+ users.
Optimized digital strategies for 100+ small businesses, generating measurable customer acquisition increases.
I believe in building ML systems that not only solve technical challenges but create meaningful user experiences. My approach combines rigorous engineering practices with deep product intuition, ensuring every model deployed contributes directly to business outcomes and user satisfaction.
Users Impacted
Engagement Increase
Global Regions
Building AI systems that scale to millions
Architected monorepo-based ML platform serving 10+ MLEs, reduced model-to-production time from weeks to days across 9 global regions
Developed transformer-based sequential recommender increasing user engagement by 35% and driving subscriber retention
Built "Jump Back In" and "While You Were Away" experiences for 50M+ users, resulting in 20% increase in content consumption
Supported technical transition from batch to online serving, improved recommendation refresh frequency, enabling real-time personalization and opening doors for bandits and RL
Conducted 20+ A/B tests collaborating with product teams to refine algorithms, achieved measurable engagement improvements while maintaining 99.9% system uptime
Built ALS collaborative filtering and BERT-based algorithms, driving $5M+ in additional e-commerce revenue
Led team of 3 engineers developing segmentation models for 7M+ customers across 5 brands, improving campaign effectiveness by 40%
Developed standardized A/B testing infrastructure using frequentist and Bayesian analysis methods, reduced experiment analysis time by 60%
Established ML model lifecycle management procedures and monitoring systems, improving model reliability by 50%
Optimized online presence for 100+ small businesses, generating measurable increases in customer acquisition
Technologies that power intelligent systems
Pittsburgh, PA
Mumbai, India
WorldMUN, Montreal, Canada | 2017
Global Business Challenge, India | 2015
500 Hour trained Instructor
1st Dan Black Belt in Taekwondo
Mentored junior ML engineers and cross-functional teams in personalization system development
Successfully expanded personalization features to new international markets concurrent with platform launches
Integrated Generative AI and pre-trained embeddings to enhance metadata accuracy and content discovery
CIMA National Finalist (Global Business Challenge 2015), Taekwondo 1st Dan Black Belt
Certified 500-hour Yoga Instructor, actively mentoring junior engineers and conducting ML workshops for cross-functional teams
Contributed to internal ML engineering best practices documentation and presented at company-wide tech talks on personalization systems
Ready to build the future of AI together?
I'm always interested in discussing new opportunities, innovative projects, or just connecting with fellow AI enthusiasts. Whether you're looking to collaborate on cutting-edge ML solutions or want to chat about the latest in personalization technology, I'd love to hear from you.