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Lead Node.js Developer with 4+ years in Node.js, AI/ML & Distributed Systems
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Lead Software Developer with 4+ years of experience architecting distributed, event-driven systems across FinTech, AdTech, logistics, and enterprise platforms. I have deep expertise in Node.js microservices, Apache Kafka, RabbitMQ, and GraphQL, with a strong track record of leading backend delivery end-to-end, from system design to production. I also possess hands-on experience building GenAI-powered products, integrating LLMs, AI agents, RAG pipelines, and document intelligence into production enterprise workflows, and shipping performant frontends with React.js and Next.js. I am a three-time internal award recipient at LeewayHertz (2023-2025).
BHARATI VIDYAPEETH'S INSTITUTE OF COMPUTER APPLICATIONS AND MANAGEMENT
Master of Computer Applications · Computer Applications
N/A – June 30, 2022
GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY
Bachelor of Computer Applications · Computer Applications
N/A – June 30, 2019
LEEWAYHERTZ (A HACKETT GROUP COMPANY)
LEAD SOFTWARE DEVELOPER
April 1, 2026 – Present
India
LEEWAYHERTZ (A HACKETT GROUP COMPANY)
SENIOR SOFTWARE ENGINEER — BACKEND & DISTRIBUTED SYSTEMS
April 1, 2024 – March 31, 2026
India
LEEWAYHERTZ (A HACKETT GROUP COMPANY)
SOFTWARE Engineer – FULL STACK
January 1, 2022 – March 31, 2024
India
FRESENIUS MEDICAL CARE | INVOICE-TO-PAY AUTOMATION PLATFORM
December 1, 2025 – June 30, 2026
Architected backend microservices for an AI-powered invoice platform processing 10,000+ invoices/month from global channels (email, PDF, XML), reducing manual processing effort by 60-70%. Engineered event-driven ingestion pipelines using Apache Kafka for high-throughput async document workflows with fault-tolerant processing across distributed services. Integrated Azure Document Intelligence and Azure OpenAI for automated extraction, GL/tax coding, and semantic compliance validation – improving data accuracy and reducing processing errors. Developed AI agents for document classification, invoice extraction, exception resolution, and SAP posting – enabling end-to-end traceability and enterprise-grade audit logging. Established secure backend pipelines with SAP and email integrations, ensuring full audit traceability and enterprise-grade compliance reporting. Tech Stack: Node.js, TypeScript, MongoDB, Apache Kafka, Azure Document Intelligence, Azure OpenAI, Azure Logic Apps
AMERICOLD LOGISTICS | HR JOB DESCRIPTION MANAGEMENT PLATFORM
May 1, 2025 – December 1, 2025
Engineered an enterprise platform to standardise and govern 900+ job descriptions across 15+ regions, cutting manual review cycles by ~40% through automated compliance checks and AI-driven validation. Architected Node.js microservices with RabbitMQ for async JD processing – creation, validation, and automated compliance checks aligned with HR policies. Implemented AI-driven JD analysis agents to detect anomalies, enforce content standards, and improve data quality across large HR datasets. Crafted scalable relational schemas using Prisma ORM with UUID-based entities and built optimised APIs with server-side pagination, sorting, and filtering. Tech Stack: Node.js, TypeScript, MySQL, Prisma ORM, RabbitMQ, React.js, Amazon SES
DATASENT | ZERO-KNOWLEDGE PRIVACY & CONSENT MANAGEMENT PLATFORM
June 1, 2024 – May 1, 2025
Designed privacy-focused Node.js microservices with RabbitMQ enabling secure data insights, consent management, and zero-knowledge proof-based workflows. Delivered GDPR and CCPA compliant backend APIs and a Chrome extension for managing user data preferences, improving data transparency across FinTech, AdTech, and e-commerce. Implemented a tiered consent and reward system integrated with third-party platforms (e.g., SOVRN), driving increased user participation and engagement. Scaled backend systems to handle 50K+ monthly user interactions across FinTech, AdTech, and e-commerce domains, maintaining full data compliance with zero reported security incidents. Tech Stack: Node.js, TypeScript, MongoDB, RabbitMQ, React.js, Amazon SES
GETTR | GETTR COIN — MONETISATION & TRANSACTIONS
January 1, 2022 – June 1, 2024
Designed and implemented core monetisation features including GETTR Coins, Gift Card Redemption, and Refer & Earn – reducing data exchange latency by 30% and improving transaction performance by 20%. Established scalable Node.js microservices and REST/GraphQL APIs with distributed transaction workflows using Apache Kafka and Webhooks, ensuring reliable processing of financial transactions and reward systems. Tech Stack: Next.js, Node.js, TypeScript, GraphQL, MongoDB, Apache Kafka, AWS Lambda
Cultural Fit Analysis
The candidate's experience across diverse domains (FinTech, AdTech, logistics, HR) and their involvement in building AI-powered products indicate adaptability and a willingness to tackle varied technical challenges. Their consistent progression within the same company (LeewayHertz) from Software Engineer to Lead Software Developer suggests loyalty and a growth mindset. The focus on compliance and secure systems also aligns with responsible development practices.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and problem-solving skills through their experience in architecting complex systems and leading technical initiatives. Their ability to mentor engineers and drive technical strategy indicates a good operational fit for a lead role. The consistent delivery of high-impact projects suggests a results-oriented approach and strong project ownership.