
Principal Software Engineer with 9+ years of experience in designing and implementing scalable cloud-native microservices using Java and Spring Boot. Expertise in driving technical direction for mission-critical automotive infotainment products. Strong background in AI-powered applications, reactive architectures, and distributed systems for highthroughput data delivery. Committed to mentoring engineering teams and fostering technical excellence in cloud-connected services.
Led technical direction for cloud-connected automotive services, delivering real-time navigation, weather, and conversational AI experiences to next-generation in-vehicle systems.
Product: Cloud-Connected Automotive Services - Navigation, Weather, Knowledge, Geocoding.
Role:
• Drove technical architecture for microservices, delivering real-time data to next-gen in-vehicle systems with 99.9% uptime, handling 10M+ daily requests.
• Lead the R&D and proof-of-concept development for next-generation AI solutions, specifically addressing the architectural limitations of traditional NLU/NLG approaches.
• Defined and established architectural patterns for scalable weather and navigation AI agents, ensuring long-term extensibility, with plans to expand across all navigation and weather requests.
• Mentor development teams on API integration patterns, distributed system debugging, and production triage protocols. Create comprehensive documentation for best practices and troubleshooting playbooks.
• Lead strategic technical evaluations of third-party APIs (Mapbox, TomTom, HERE) to guide product roadmap decisions and integration strategies for global markets.
I was part of Talent Acquisition initiatives at TalentoHC, providing tailored solutions, including Professional Search, RPO, Staff Augmentation, and Interim Resources, to help organizations attract, develop, and retain top talent.
Project #1: TalentoHC
Technology: Java, Spring Boot, RESTful services, microservice architecture, Angular Framework, JPA, AOP, TypeScript, NgPrime, HTML, CSS, jQuery.
Role:
Developed and implemented HealthSPA HIMS & EMR, a comprehensive Hospital Information Management System (HIMS), designed to streamline operations across medium to large, multispecialty hospitals. The system provided an end-to-end software solution that improved functional efficiency, reduced costs, and medical errors, and enhanced the quality of patient care.
Project #1: HSPA
Technology: Java, Spring Boot, RESTful services, Angular Framework, Hibernate, TypeScript, NgPrime, HTML, CSS, jQuery.
Role:
Architecture & Design: Microservices, Distributed Systems, Event-Driven Architecture, Agentic AI Patterns
Backend Engineering: Java, Spring Boot, Spring AI, Spring Security, Spring Data, Spring WebFlux (Reactive), Hibernate, JPA, AOP
AI & GenAI: Spring AI, Python, LLM integration, AI agents, RAG, NLU/NLG, conversational AI, prompt engineering, Vector Embeddings
APIs and integration: RESTful/gRPC, OAuth2/SSO, Google Maps, TomTom, HERE, Mapbox, and third-party APIs
Frontend: Angular, ReactJS, TypeScript, NgPrime, HTML5, CSS3, jQuery
Data: Cassandra, MongoDB, MySQL, PostgreSQL, Redis, Oracle, SQL