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Backend Developer with 1+ years in Node.js, AI & PostgreSQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend Engineer with 1.2+ years of experience building scalable backend systems and AI-powered applications using Node.js, NestJS, PostgreSQL, and Python. Developed enterprise ERP APIs, authentication systems, web scraping pipelines, and multi-agent AI workflows in production environments. Experienced in REST API development, database optimization, Dockerized deployments, CI/CD workflows, and cloud-based backend services. Strong problem-solving skills with 700+ DSA problems solved.
National Institute of Technology Raipur
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2025
Chandigarh Group of Colleges
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
LyteHire.AI Technology Pvt. Ltd
Software Engineer
October 1, 2025 – Present
Gurgaon, Haryana, India
Shaurya Soft Pvt. Ltd
Software Engineer Trainee
January 1, 2025 – August 1, 2025
Dera Bassi, Punjab, India
Web Compiler
May 25, 2026 – Present
Developed real-time code execution platform with sandboxed execution environments. Implemented JWT authentication and MongoDB persistence for secure user sessions. Managed concurrent code execution workflows with isolated runtime environments.
Cultural Fit Analysis
The candidate shows a strong drive for continuous learning and problem-solving, highlighted by their extensive DSA practice and competitive programming achievements. Their diverse project portfolio, spanning real-time compilers, ERP systems, and AI-powered platforms, showcases adaptability and a broad interest in backend development challenges. This aligns well with a dynamic and innovative work culture.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with frontend and DevOps teams. Their experience with CI/CD pipelines, Dockerized deployments, and cloud environments indicates a good understanding of operational best practices and readiness for production-grade work. They exhibit a proactive and results-oriented approach, consistently optimizing systems and automating workflows.