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Software Engineer with 5+ years in Node.js, TypeScript & Azure
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Assessing your cultural and operational fit
Backend Developer with 5.9+ years of experience in Node.js, TypeScript, Microservices, Azure, and AWS. Skilled in building scalable backend systems using MongoDB, PostgreSQL, Redis, Kafka, NestJS, and GraphQL. Experienced in AI-integrated applications using Azure OpenAI, LangChain, and cloud-native architectures.
MES College of Engineering, Savitribai Phule Pune University
Bachelor of Computer Engineering · Computer Engineering
August 1, 2016 – June 30, 2020
US Technology International Private Limited
Developer-III Software Engineering
December 1, 2024 – Present
Bengaluru, Karnataka, India
NTT Data Information Processing Services Private Limited
Info Technology Analyst
July 1, 2020 – November 1, 2024
Pune, Maharashtra, India
Healthcare Platform Modernization using tRPC and NestJS - (Elevance Health)
December 1, 2024 – June 1, 2026
Architected modular backend services for a large-scale healthcare platform (Doctors, Patients, Vendors, Appointments, etc.) by decomposing a legacy monolithic system into independent microservices using NestJS and tRPC with TypeScript. Built clean, scalable APIs from scratch by re-architecting existing business logic into a service-oriented structure, ensuring improved maintainability, separation of concerns, and code reusability across modules. Implemented secure and type-safe end-to-end communication between frontend and backend using tRPC, reducing API inconsistencies and improving developer productivity through shared types. Enhanced system performance and scalability by independently deploying components, enabling parallel development across teams while maintaining functional parity with the existing healthcare application.
Vulcan Migration - (Microsoft - Elevance Health)
December 1, 2024 – June 1, 2026
Led migration of enterprise Node.js applications from AWS to Azure by identifying and implementing Azure service equivalents, ensuring high availability, scalability, and seamless cloud transition. Designed and configured Docker files, CI/CD build pipelines, and deployment workflows for EHDS-compliant applications, improving deployment automation and release reliability. Collaborated with clients, DevOps, QA, and infrastructure teams to analyze migration requirements, troubleshoot environment issues, and validate end-to-end application functionality across multiple environments. Performed end-to-end testing and production readiness validation with internal teams and external consumers, ensuring stable deployments and smooth application migration to Azure infrastructure.
Enterprise Generative AI Assistant Platform
July 1, 2020 – November 1, 2024
Designed and developed a secure Private GPT platform for enterprise-sensitive data handling using Azure OpenAI, ensuring complete customer data control, privacy, and zero data retention. Established Azure security architecture using Azure Entra ID (Azure AD), OAuth 2.0, IAM, and Role-Based Access Control (RBAC) to enable secure identity-based access management. Architected scalable backend infrastructure with Azure Load Balancer, distributed request handling, and optimized API workflows to support concurrent AI-driven requests with high availability and performance. Worked closely with clients and cross-functional teams for requirement analysis, POCs, effort estimation, solution design, and timely delivery while mentoring team members on implementation strategies and troubleshooting.
Scalable Travel Booking & Reservation System
July 1, 2020 – November 1, 2024
Engineered an end-to-end Bus Reservation System using Node.js with GraphQL APIs and PostgreSQL, implementing booking, seat allocation, and transaction management for high-concurrency scenarios. Designed and implemented secure architecture using JWT, IAM, and AWS S3 integration, ensuring protected authentication, authorization, and secure data storage. Improved system performance by implementing database row-level locking, SQL injection protection, and load handling strategies to support multiple parallel booking requests efficiently. Coordinated with clients, QA, and stakeholders for requirement gathering, feasibility analysis, weekly demos, and production readiness while mentoring team members on backend and system design implementation.
AZ-900 Microsoft Azure Fundamentals
Azure
June 1, 2026 – Present
ChatGPT Prompt Engineering
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across healthcare, enterprise AI, and travel booking, coupled with their involvement in large-scale migrations and modernization efforts, suggests a strong adaptability and willingness to tackle varied technical challenges. Their continuous learning (certifications) and exposure to multiple cloud environments and architectural patterns indicate a proactive and growth-oriented mindset, which aligns well with dynamic and innovative team cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, collaboration, and problem-solving skills through their project descriptions, particularly in coordinating with cross-functional teams, troubleshooting, and mentoring. Their experience in client interaction, requirement analysis, and delivering timely solutions indicates a good operational fit for roles requiring end-to-end project involvement.