Software Engineer Distributed Systems RAG/LLM Applications

Arpit Dilip Sharma

Software Engineer Distributed Systems RAG/LLM Applications AWS Certified Solutions Architect Open to relocate 716-***-**** ******.******.****@*****.*** ï/arpitsharma2010 §/arpitsharma2010 EXPERIENCE

University at Buffalo (Tesserae) Software Engineer Jan 2026 – Present

• Improved API reliability and prevented automated abuse by designing rate-limiting, RBAC and state management systems using Python, Flask and PostgreSQL, leveraging Claude and Codex to accelerate development and testing for large-scale literary analysis workflows.

Tata Consultancy Services (DNB) Software Engineer II Apr 2023 – Jul 2024

• Reverse-engineered 15+ microservices for SBanken’s wealth management platform, gaining deep codebase understanding to produce API contracts and system documentation accelerating DNB merger integration.

• Owned the application software delivery lifecycle across 4 environments, from development through production deployment, accelerating release cycles and ensuring high service availability using GitLab CI/CD, Terraform and AWS services.

• Architected and maintained 10+ backend services and API-driven applications using Node.js and TypeScript in a microser- vices environment, applying SOLID principles and test-driven development to improve scalability and maintainability. Tata Consultancy Services (DNB) Software Engineer I Apr 2021 – Mar 2023

• Designed and enhanced 30+ RESTful APIs using Node.js, Express.js, and asynchronous programming patterns, leveraging caching and event-driven architectures to improve throughput and reduce latency for high-traffic financial systems.

• Designed a reusable, highly accessible React component library for internal banking platforms, accelerating feature de- ployment velocity by 25% across the department while serving 100K+ active users.

• Built an event-driven payment pipeline where S3 events triggered AWS Lambda processing and SNS-based customer notifications, ensuring reliable execution across 100K+ customer accounts.

• Resolved 100+ production issues across distributed Node.js services, optimizing SQL queries, improving data access patterns, and ensuring reliable operation of business-critical applications.

• Maintained a 95%+ sprint completion rate by collaborating with product owners, Scrum Masters and cross-functional teams to deliver new features and resolve defects across Agile development cycles. Tata Consultancy Services Assistant Software Engineer(ASE-Trainee) Nov 2020 – Mar 2021

• Delivered a full-stack Hospital Management System during TCS onboarding using ReactJS, Java Spring Boot, PostgreSQL and JWT authentication, supporting records across 3 core modules: patient, billing and inventory management.

• Built 10+ RESTful APIs, implemented secure role-based access control and optimized PostgreSQL queries using Test- Driven Development (TDD), supporting patient, billing and inventory management workflows. PROJECTS

WanderGenie: Agentic AI Travel Assistant Nov 2025 – Nov 2025

• Built a multi-agent AI travel planner using LangGraph orchestration with Amazon Bedrock and GPT-4o-mini, enabling natural-language itinerary generation with map-pinning, booking links, and real-time calendar export.

• Designed a hybrid RAG retrieval pipeline using OpenTripMap, Supabase pgvector, Neo4j, and text-embedding-3-small embedding model for semantic search and semantic knowledge retrieval, boosting route coherence by 40%; deployed full-stack on AWS Amplify and EC2.

Taco-DB Relational Database System Sep 2025 – Dec 2025

• Built a relational database engine in C++, implementing disk-based storage management, buffer pool caching, and B+ Tree indexing to support efficient data retrieval and updates.

• Developed a Volcano-style query execution framework with external merge sort and hash join operators, improving query processing performance by up to 10 on large datasets. TECHNICAL SKILLS

Programming: TypeScript, JavaScript, Python, Java, Go, C++, HTML5, CSS3 Frameworks: Node.js, Express.js, REST APIs, WebSocket, gRPC, ReactJS, Spring Boot Databases & Big Data: MySQL, PostgreSQL, AWS DynamoDB, MongoDB, NoSQL, Pgvector, Neo4j, Supabase AI & LLM: LangGraph, Retrieval-Augmented Generation (RAG), Amazon Bedrock, OpenAI GPT-4o, Vector Search Cloud & DevOps: AWS (Lambda, DynamoDB, S3, SQS, SNS), Docker, Kubernetes, Terraform, GitLab CI/CD, Jenkins Tools & Testing: Claude, Codex, JUnit, NUnit, Moq, Postman, Swagger/OpenAPI, SonarQube, Jira, Confluence, TDD, Git EDUCATION

Masters in Computer Science and Engineering, SUNY at Buffalo (GPA: 3.77 / 4) Bachelors in Computer Science and Engineering, Amravati University (GPA: 8.67 / 10)

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