Shri Rewagad

Senior Software Development Engineer - Ford Motor Company - Dearborn, MI

(2026-05)

Architected hybrid search on Elasticsearch, combining BM25 keyword ranking with vector-based semantic retrieval, improving search relevance by ~30% for 50K+ internal users.
Building backend services in Java and Spring Boot for Ford's UEV platform, supporting the launch for ~500K+ customers.
Developing an Agentic AI assistant using LLM and RAG pipelines, answering questions for ~100K+ users, cutting time ~40%.
Collaborating with cross-functional teams to design scalable backend APIs on GCP, supporting UEV features across 4+ models.

Software Development Engineer - Amazon - Seattle, WA

(2022-09 - 2026-05)

Designed enterprise-scale Generative AI (LLM-powered) resume generator using AWS SageMaker for 78,000 employees.
Developed secure distributed backend services and REST APIs using object-oriented Java, Spring Boot, JUnit, AWS.
Contributed to architecture design reviews and backend implementation, collaborating with cross-functional stakeholders to align technical design, resolve trade-offs, define service contracts and deliver features that reduced recruiter effort by 30%.
Implemented prompt-based role matching logic improving candidate role alignment accuracy by 28%.
Built secure serverless orchestration enforcing IAM policies, TLS encryption, and security controls for distributed services.
Contributed to modernization of a distributed pricing platform using Spring Boot, DynamoDB (NoSQL) and AWS services.
Implemented microservices and batch pipelines using Kafka and Kinesis, reducing pricing computation time by 70%.
Integrated AWS SageMaker machine learning models to support automated pricing optimization.
Automated CI/CD-driven deployments using AWS CloudFormation, reducing manual deployment effort by 60%.
Built CloudWatch and PowerBI observability dashboards and alerting for monitoring performance and operational reliability.

Technical Lead - Tata Consultancy Services - Phoenix, AZ

(2019-06 - 2022-07)

Led architecture design and backend delivery of distributed Java-based payment services, improving system latency by 20%.
Mentored 9 engineers through code reviews, led feature breakdown, and collaborated with stakeholders on backend services.
Handled database schema design using Oracle, PostgreSQL, and MongoDB, lowering failure rates by 15%.
Designed Kafka-based event streaming ensuring high availability, idempotency, fault tolerance, and scalable throughput.
Containerized scalable microservices using Docker and deployed on Kubernetes clusters, improving scalability.
Standardized containerized deployments using Docker and Jenkins-based CI/CD pipelines, improving release stability.

Software Development Engineer - Tata Consultancy Services - India

(2017-06 - 2019-06)

Developed AI-powered 3D try-on features for Sunglass Hut using Python, processing 500K+ images with 95% accuracy.
Built backend modules and REST APIs in Python and Go supporting user-facing applications and high-throughput pipelines.
Acted as the primary support engineer during QA and pre-production, resolving defects, troubleshooting issues, and reporting critical findings to senior engineers and managers for smooth launch readiness.

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