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Backend Engineer with 4+ years in Node.js & AI-Driven Systems
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Assessing your cultural and operational fit
Backend Engineer with 4.5+ years of experience building high-concurrency microservices, AI-driven automation pipelines, and scalable distributed systems. Specialized in Node.js, TypeScript, Redis, RabbitMQ, and Docker, focusing on robust backend architectures. Proven ability to deliver sub-100ms APIs, secure payment systems, real-time workflows, and production-grade AI orchestration platforms.
Indira Gandhi National Open University (IGNOU)
Master of Computer Application
August 1, 2021 – June 30, 2023
Indira Gandhi National Open University (IGNOU)
Bachelor of Computer Applications
August 1, 2017 – June 30, 2020
Essence Software Solutions
Associate L2- Technology
February 1, 2024 – March 1, 2026
Gurgaon, Haryana, India
Techwarezen Pvt. Ltd.
Node Js Developer
October 1, 2023 – February 1, 2024
Noida, Uttar Pradesh, India
Comfygen Pvt. Ltd.
Mern Stack Developer
November 1, 2021 – August 1, 2023
Jaipur, Rajasthan, India
GoTradeIndia - High-Load Trading Platform
June 30, 2026 – Present
Designed a low-latency microservices stack integrating Digio e-KYC and NSE/BSE/Symphony APIs. Implemented Redis-powered message queues and a ledger engine to ensure secure, atomic trade settlements.
Pacific One Health - AI Healthcare SaaS
June 30, 2026 – Present
Developed a multi-agent AI system for automating patient bookings, FAQs, triage, and medical queries. Architected the service orchestration layer using Fastify and OpenAI APIs for rapid response synthesis.
TheExamPro - Multi-Tenant Exam Engine
June 30, 2026 – Present
Built a hierarchical academic engine and automated exam generator supporting complex blueprint rules. Engineered analytics dashboards for institute, class, and section-level performance tracking.
Power of One News - Real-Time News Engine
June 30, 2026 – Present
Implemented a throttled data aggregation pipeline with Redis caching, reducing external API load by 60%.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of applications, from AI healthcare SaaS and high-load trading platforms to multi-tenant exam engines and real-time news engines. This breadth of experience suggests adaptability and a willingness to work across different domains. Their focus on backend engineering aligns perfectly with the target role. The use of modern technologies and architectural patterns (microservices, AI, distributed systems) indicates a forward-thinking and innovative mindset, which would likely fit well within a dynamic technical culture. The candidate's experience in optimizing systems and reducing manual effort also points to a results-oriented approach.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, particularly in optimizing performance and ensuring reliability. Their work on AI-driven automation and complex system architectures suggests an ability to tackle challenging technical problems. The focus on high-concurrency and low-latency systems indicates a detail-oriented and performance-driven approach. Collaboration is implied through their work on multi-agent systems and integrating various APIs, though direct evidence of team collaboration skills is not explicitly detailed.