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Fullstack Engineer with 5+ years in Node.js & AI/ML
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Full Stack AI Engineer with 5+ years of experience building scalable backend systems, AI-enabled features, and production-grade full-stack applications. Strong expertise in Node.js, TypeScript, PostgreSQL/MongoDB, React, AWS, and system design. Practical experience integrating LLMs, embeddings, vector search, and RAG pipelines. Proven track record of owning features end-to-end from architecture and design to implementation, testing, and deployment.
Shri Ramswaroop Memorial College of Engineering and Management
Bachelor of Technology · Information Technology
August 1, 2016 – June 30, 2020
Negentrophi
Lead Full Stack AI Engineer
December 1, 2025 – Present
India
Singularis
Senior Software Engineer
August 1, 2024 – December 1, 2025
Gurgaon, Haryana, India
CEDCOSS Technologies Private Limited
Senior Software Developer
November 1, 2020 – August 1, 2024
Lucknow, Uttar Pradesh, India
Aula LMS - LLM-Powered Assignment Generation
June 1, 2026 – Present
• Built automated assignment generation for Aula (a learning management system) by extracting content from course materials and prompting LLMs. • Supported configurable question types (MCQ, descriptive) and educator approval/feedback loop before publishing. • Implemented backend orchestration, content validation, and guardrails to ensure pedagogical relevance and reduce hallucinations. • Delivered end-to-end integration with Aula's assignment pipeline and UI components for reviewer workflows.
E-commerce Connector Platform
June 1, 2026 – Present
• Architected a platform to unify product, order, and inventory data across multiple marketplaces. • Built reliable sync mechanisms (change streams, event queues) and a schema-unification layer for normalized data. • Implemented WebSocket-based real-time updates and designed idempotent API endpoints for cross-system consistency.
Smart Lister AI - AI-Driven Listing Optimization
June 1, 2026 – Present
• Designed and developed an AI system to generate marketplace-ready product titles, descriptions, and attributes. • Used LLMs for content generation and embeddings + VectorDB for category attribute mapping. • Implemented RAG to surface contextual guidance and seller-facing Q&A during listing creation. • Integrated pipeline into production workflows with automated SEO keyword extraction and periodic re-ranking.
Problem Solving (Intermediate)
HackerRank
June 1, 2026 – Present
JavaScript (Intermediate)
HackerRank
June 1, 2026 – Present
React (Basic)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-driven listing optimization to LMS assignment generation and e-commerce connector platforms, indicates adaptability and a broad interest in different problem domains. Their experience in various company sizes (from CEDCOSS to Negentrophi) and roles (Senior Developer to Lead Engineer) suggests a willingness to take on increasing responsibility and adapt to different organizational cultures. The focus on AI and scalable systems aligns well with modern tech environments, indicating a forward-thinking mindset. The certifications, though basic/intermediate, show a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and mentoring skills, as evidenced by their 'Lead Full Stack AI Engineer' role and explicit mention of mentoring junior developers. Their experience in establishing foundational development setups and enforcing code quality standards suggests a proactive approach to operational excellence. Collaboration with frontend teams is also noted, indicating good teamwork and communication skills in a cross-functional environment. The project descriptions highlight problem-solving and end-to-end ownership.