Chief Technology Officer
Current• Led design and development, and shipped 3 product lines (2RaceWithMe, BrainTagger, and 4VR Young) used in hospitals and by individuals to improve quality of life and measure cognitive performance-Oversaw 4 teams of ~25 members • Managed concept-to-launch of cutting edge "Smart Exercise" solution, enabling real-time monitoring of activity on web and mobile applications- Wrote and reviewed code for back-end and front-end - MEAN (MongoDB, Express, Angular.js, Node.js), RESTful APIs, Python firmware, Django, PostgreSQL, Swift Mobile App, Kinesis Data Streams, Firehose, Managed Apache Flink -Generated $5M+• Pioneered the development of a cutting-edge face recognition, sentiment analysis & recommendation system to identify users, measure the popularity of various applications, and offer personalized content based on user preferences and behavior - Leveraged Python, TensorFlow, PyTorch, & Django -Created solution to previously unresolved challenge of identifying older adults accurately• Led design and development of a user data dashboard featuring video calling, notifications, text messages, advanced search & filtering, & user activity tracking capabilities with user authentication & authorization including OAuth and JWT using WebSockets, React, GraphQL, AWS SNS, SQS, Lambda, enhancing communication• Designed and developed BrainTagger, a suite of web applications for measuring cognitive performance, architected and implemented scaling strategies and led developers to serve 100K+ users in 30+ editions, using React, Node.js, MySQL, CI/CD, Docker, Kubernetes, AWS S3, Lambda, CodePipeline, CloudFormation & CloudFront• Designed, trained, and deployed deep learning models for measuring cognitive performance and early impairment detection-Leveraged ETL processes to consolidate and clean diverse data sources, ensuring high-quality input for machine learning models and improving overall model accuracy-Using SageMaker, AWS Glue, Athena, Redshift, Step Functions, Fargate
