San Francisco Bay Area
Currently working on LLM GEN AI and AI Agentic workflow for a @TechStars 2025 HR SAAS company Auditocity as the Head Of Engineering, also as a Senior Engineering Manager at Fanatics, Inc., I lead a team of engineers of FrontEnd, Hardware, Security, AWS Cloud, Backend, Linux Kiosks for the Sports Book Retail products, working with cross-functional peers to understand customer requirements, develop strategy, and ensured projects are delivered on time. With 25 years of experience in software development, I have a strong background in Typescript, Java, AWS, Scala, MongoDB and Linux, and I hold an AWS Certification as a Cloud Practitioner. I am passionate about building high-quality software solutions that meet the needs of our customers and stakeholders.
Heading the regionalization/localization engineering efforts in the last mile/sub same day delivery experience space.
• Scaled and coached full stack engineering team, fostering a healthy engineering culture. • Helped startup secure TechStars 2025 entry, showcasing leadership and strategic skills. • Directed development of AI-driven monetization features using advanced LLM models.
▪ Collaborated with cross-functional teams to deliver high-quality software solutions within budget and on time, leading to a 20% increase in user engagement and adoption ▪ Built and led a high-performing team of software engineers to deliver innovative solutions in the emerging AI space, resulting in successful customer engagement features that surpassed customer expectations ▪ Championed the design and development of microservice-based cloud applications focusing on low latency and high reliability, leading to a 30% reduction in system downtime ▪ Orchestrated the successful delivery of consumer products across web and mobile clients, using Agile methodologies, resulting in a 25% increase in customer satisfaction and retention ▪ Lead the full-stack team with React.JS, Java Spring Boot Microservices, Apache Kafka, GraphQL and AWS stack, Docker Container.
Leading a team of 12 Engineers for the Big Data Backend Engineering team for Capital One. Working with cross-functional peers such as product, design, etc, to understand customer requirements, develop strategy and long-term goals and ensure projects are delivered on time. Leading the architecture design of the identity platform, customer integrations, and ensuring that the SLAs are met on a daily basis and that the team maintains high standards of code and other development practices. Spearheading team's capacity planning, project risk identification, and process improvements. Engaging with team members for their career development and building the team by hiring the right talent. Our Team onboards Data-Sources like Snowflake, AWS S3, RDS using Elastic-MapReduce/Spark written in Scala
Leading a diverse cross-functional data engineering team of Apache Spark developers and GCP DevOps to move data from to GCP using ETL (lift & Shift) Recruit employees, assign, direct, and evaluate their work, and oversee the development and maintenance of staff competence. Prepare budgets, bids, and contracts, and direct the negotiation of research contracts. Analyze technology, resource needs, and market demand, to plan and assess the feasibility of projects. Managed Statement Of Work for Google. Delivering Google cloud Platform data Pipeline