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Full Stack Engineer with 5+ years in Node.js, Angular & Cloud
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Assessing your cultural and operational fit
Results-driven Senior Node.js Full Stack Developer with 5+ years of experience designing and delivering scalable enterprise-grade applications across call-center, fintech, and SaaS domains. Deep expertise in Node.js microservices, Angular (OnPush, Lazy Loading), AWS (S3, ALB, IAM), Redis caching & Pub/Sub, PostgreSQL, and REST API development. Proven ability to architect real-time communication systems (WebRTC, Socket.io), AI/ML pipelines (OpenAI GPT-4, Deepgram, RAG), and cloud-deployable microservices with CI/CD best practices. Experienced in leading cross-functional teams, conducting code reviews, and delivering high-quality products on schedule.
United College of Engineering Research, Allahabad
B.Tech/B.Ε. · Computer Science and Engineering (CSE)
August 1, 2020 – June 30, 2020
Cube Software Pvt Ltd
Senior Full Stack Developer (Node.js / Angular)
March 1, 2021 – Present
Noida, Uttar Pradesh, India
WhatsApp Voice Calling System (WebRTC + Graph API)
March 1, 2021 – Present
• Built browser-based WhatsApp calling for call-center agents using Meta Graph API and WebRTC with real-time peer-to-peer voice. • Implemented ICE framework with TURN/STUN for NAT traversal and Socket.io signalling layer for SDP/ICE negotiation. • Integrated with existing RBAC system; restricted call access by agent role.
AI-Powered Voice Audit System (Call Quality Monitoring)
March 1, 2021 – Present
• Delivered enterprise voice audit platform for QA teams at Care Health, Religare Broking, and Bigul. • Integrated Deepgram for speech-to-text; used Gemini to generate call summaries and coaching suggestions, cutting manual QA by ~60%. • Built batch processing engine for parallel audio upload to AWS S3, transcription, and report generation.
Social Media Live Chat Platform (Omnichannel CX)
March 1, 2021 – Present
• Built multi-channel live chat backend integrating Facebook Messenger and WhatsApp via Meta Graph API. • Used Redis Pub/Sub for multi-server Socket.io scaling and BullMQ for high-throughput message queuing. • Implemented dynamic queue system with automatic supervisor escalation on agent unavailability.
AI Customer Support Agent SaaS (Multi-Tenant Chatbot Platform)
March 1, 2021 – Present
• Built multi-tenant SaaS platform where businesses can deploy a customised AI support agent with no coding required. • Engineered CDN-delivered embeddable JS widget - single script tag, zero configuration for end users. • Implemented per-tenant JWT auth and PostgreSQL row-level isolation with sub-200ms response latency via Redis caching.
Machine Learning with Python
IBM / Coursera
June 1, 2026 – Present
Java: Enterprise-Scale Application Development
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across call-center, fintech, and SaaS domains, coupled with diverse projects involving real-time communication, AI-powered systems, and multi-tenant platforms, indicates adaptability and a broad skill set. Their role as a Senior Full Stack Developer aligns well with the target role, suggesting a good cultural fit for a dynamic and technically challenging environment. The breadth of technologies used (Node.js, Angular, Redis, PostgreSQL, AWS, Nginx, WebRTC, Socket.io, AI/ML tools) shows a willingness to learn and apply various solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership skills through managing a team of 5 developers, conducting code reviews, and collaborating with product stakeholders. Their experience in delivering enterprise-grade products and reducing API response times indicates a results-driven and problem-solving mindset. The project descriptions highlight an ability to translate business requirements into scalable technical architectures, which is crucial for operational fit in a senior role.