Building the next generation health tech platform serving millions of lives with a mission to increase cost transparency, increase access to care and lower cost of health care. - Responsible for software development, DevOps, and QA with a total staff of 120+ reporting into my org- Built the AI team ground up with one of the goals of lowering healthcare costs via increasing efficiency of workflows and systems through the right the use of Generative AI and ML models.- Restructured DevOps and QA teams and processes to support increased automation for high growth - Work with C-Suite to explore new market products, define a strategy and build an initial MVP - Partner with recruiting and HR to drive hiring top talent, team and talent growth and employee merits and promotionsTech: Azure, AWS Bedrock, OpenAI GPT models, Llama-2, LlamaIndex, LangChain, LangGraph, Retrieval Augmented Generation (RAG), SageMaker, AWS, EKS, ECS, EC2, CloudWatch, Terraform, ElasticSearch (OpenSearch), Kafka, MQ, RDS, Postgres, MongoDB

Building an Generative AI Decision Intelligence SaaS platform to help organizational leaders make rapid decisions using insights gathered from people at scale via human like AI interviews. Tech: Conversational AI, Large Language Models (LLMs), Natural Language Processing, Scalable Cloud Backend, Python, NodeJS

Incubated an early proof-of-concept conversational AI product to help organizational leaders to make faster decision using discovery through chatbot interviews at scale. Expanded the team, worked with initial customers and delivered value to show the Product-Market Fit and spun out as Reveal AI and raised pre-seed funding.

• Get Smart is a SaaS product that provides automated note taking to help collaborative idea development for workplaces• Co-founded the company and raised funds, built the SaaS platform with NLP capabilities on AWS (SageMaker, ECS, Lambda), transformer-based fine-tuned language models using Python• Tech Used: Python 3.x, Neo4J 4.x, React JS, AWS (SageMaker, ECS, Lambda, Elastic Inference, EC2), NLP (Transformer models with Hugging Face fine-tuned pre-trained models)

Wrote and published articles on Forbes and in other technology news sites

Head of cloud & platform engineering for SleepIQ. • Built, operationalized, and scaled the cloud platform and engineering teams for SleepIQ to collect, processes, and analyze data and deliver via mobile and web experiences• Accomplished systems integration of BAM infrastructure with Sleep Number’s enterprise systems after acquisition and refactored AWS and Azure cloud applications• Grew team size from 8 to 25, setup career tracks for employees working with HR • Slashed operational costs by over 30% by negotiating prices for yearly contracts with vendors and and right sizing AWS resources• Achieved 4X cloud cost reduction in monthly bill by improving efficiency and right sizing cloud resources• Accomplished cloud backend scale improvement by 100X to support millions of connected devices and enhanced scale testing capabilities to support 4X capacity of projected growth • Negotiated yearly contracts, managed vendor relationships and forecasted engineering budgets• Owned multi-year technology platform strategy, roadmap and budget • Accelerated release cycles from quarterly to monthly by re-engineering the current silo’d development processes and standardized on agile methodology• Tech Used: Spark, Docker, Cassandra, Netty, Kafka, AWS (EC2-ECS-Lambda-DynamoDB-Aurora-Athena-Redshift-SQS), Java, Python

• Architected and built scalable backend platform and teams for sleep health & monitoring product for consumer and medical users • Engineered the migration of health product backend from a 3rd party expensive poor quality hosting vendor to AWS and achieved HIPAA certification that satisfied customers enormously • Reduced issue response times to under 1 hour, created dedicated operational roles, streamlined operational structure and processes • Built the initial predictive data analytics platform using AWS streaming for real time decision support • Optimized operations processes and created metrics driven operational dashboards • Tech Used: Java, Spark, Cassandra, DynamoDB, Netflix OSS frameworks Asgard, Priam, Astyanax all on AWS services

Enterprise technology leader and a key member of the architecture leadership teamMy key contributions - • Advised C-suite on technology strategy and IT governance• Published Enterprise Architecture Frameworks (TOGAF based), Architecture Strategy and Governance guidelines and Enterprise Capability Modeling & Map, architecture blueprints, reference architectures• Reduced admin cost by 50% by helping reduce broker commission with innovative customer experience• Managed a team of architects and played lead technology expert role for BlueShield self-service web portals and mobile app for members, providers, employers, and brokers to support $100 million customer service cost avoidance enterprise effort• Tech Used: Java, REST, Spring MVC framework 4.x, ORM using hibernate framework, Spring scheduler & batch frameworks, client side MVC JavaScript libraries Dojo, jQuery, JMS, MQ, IBM WebSphere application & portal server, WebSphere message broker, DataPower

Designed and Developed core platform for corporate employee stock option administration system using Java on Linux

Managed a team of 12+ developers in building a suite of web application, portal & services forJPMorgan’s Treasuries and Securities organization serving corporate client services for providing deal management, product setup and implementation supporting over 100 products