• Built and deployed an enterprise-grade LLM-powered chatbot by fine-tuning LLaMA with internal data, leveraging MCP integrated with AWS services (Bedrock, Lambda, Step Functions, EventBridge, DynamoDB) for secure multi-service orchestration, enabling developers to query internal systems in natural language and reducing resolution time by 40%.

• Designed MCP pipelines to integrate the chatbot with microservices & databases, automating repetitive queries and improving developer productivity by 30%.

• Led development of high-performance REST and GraphQL APIs (Java, Spring Boot) that delivered $5–7M in business value by optimizing data retrieval for client-facing applications.

• Optimized GraphQL queries to reduce over-fetching, cutting response payloads by 30% and improving API latency.

• Designed and deployed distributed microservices on AWS Fargate, ensuring scalability, resilience, and reduced infrastructure cost by 20%.

• Analyzed 400M+ data points with Spark on AWS EMR to validate system scalability and performance at enterprise scale.

• Spearheaded CI/CD automation with Jenkins, reducing deployment cycles by 25%, and enforced QA best practices, including performance, acceptance, and smoke testing.

• Mentored junior engineers in microservices design, LLM adoption, and cloud-first development, raising team productivity and code quality.

• Worked as a backend developer with expertise in building APIs and implementing microservices.

architecture.

• Led migration of legacy monolithic systems to a distributed, event-driven microservices architecture,

improving fault tolerance and reducing downtime by 30%.

• Developed scalable services in Java + Spring Boot + Oracle for high throughput systems,

improving maintainability and operational efficiency.

• Implemented Kafka event-driven pipelines for batch + real-time processing, improving data

availability and reducing processing time by 15%.

• Designed and executed complex SQL queries in Oracle, ensuring efficient database management

and rapid data retrieval.

• Integrated RabbitMQ and gRPC for inter-service communication in distributed environments,

boosting throughput and resilience.

• Built AWS Lambda serverless workflows, achieving cost-efficient scaling for workloads

handling millions of records.

• Collaborated with cross-functional teams to streamline business processes and automate

workflows, leading to a 20% improvement in development efficiency and faster project delivery.

• Designed and implemented backend microservices using Spring Boot for video content management, deployed to AWS infrastructure, enabling scalable solutions that supported 1,000+ daily users and directly contributed to over $2 million in business value.

• Built event-driven video processing pipelines (Python, FFmpeg, AWS Elastic Transcoder, S3) to optimize video upload and transcoding, cutting processing time by 25%.

• Engineered dynamic, responsive frontend interfaces using React, translating Figma designs into seamless, maintainable code, improving user engagement and retention.

• Developed APIs for real-time progress tracking, recommendations, and analytics dashboards, reducing delivery time by 20%.

• Collaborated with cross-functional teams to integrate APIs for features like real-time course progress tracking, user recommendations, and analytics dashboards, reducing project delivery time by 20%.

• Streamlined video delivery and playback using AWS CloudFront, ensuring low-latency streaming for global audiences and optimizing bandwidth usage.

• Optimized global content delivery on AWS CloudFront, ensuring low-latency streaming and reduced bandwidth costs.

• Supported instructor with test administration, curriculum development, and assignment grading.

• Delivered personalized educational and behavioral support to individual students.

• Managed to help around 90 computer science students each semester.