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Schedule Interview NowMy name is Mehul P. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Amazon Web Services, Node.js, Amazon DynamoDB, Amazon EC2, AWS Lambda, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: RAG Chatbot for AI Assitant – Bedrock + OpenSearch, Scalable AWS Architecture for High-Growth Startups, AWS EKS Deployment - Highly Available System for E-commerce, Serverless Event-Driven Data Pipeline, AWS Bedrock Generative AI Architecture, etc.. I am based in Ahmedabad, India. I've successfully completed 11 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Dun and Bradstreet
Built a scalable Retrieval-Augmented Generation (RAG) chatbot using Amazon Bedrock (Claude 3) and OpenSearch for a clinical trial platform with over 500,000 records. Integrated OpenSearch with pgvecto
Developed a scalable, secure AWS infrastructure to support a startup’s expansion from MVP to enterprise-level traffic. Addressed challenges including cost control, high availability, and automated dep
Deployed a production-grade, highly available Kubernetes cluster using AWS EKS for an e-commerce client. The goal was to ensure zero downtime during peak sales. I designed and implemented scalable nod
Built a serverless data pipeline for a SaaS client using AWS Lambda, S3, and EventBridge to process real-time user analytics. Addressed latency issues by optimizing Lambda functions and implementing S
Built a Q&A application using AWS Bedrock and LangChain with RAG for enhanced context accuracy. Integrated Cohere/Embed for embeddings and Claude 3 Haiku for multilingual responses. Overcame scalabil
Bachelor of Engineering (BEng) in Computer engineering
2015-01-01-2019-01-01