
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Frontend Engineer with 6+ years in React.js, Node.js & AI
Highly accomplished Lead Frontend Engineer with over 6 years of experience in architecting and delivering high-impact, AI-powered products using React.js, TypeScript, and Node.js. Proven leader in optimizing application performance, driving user engagement, and developing robust system architectures. Skilled in integrating advanced AI/ML APIs, building reusable component libraries, and implementing modern CI/CD pipelines. Passionate about mentoring junior developers and fostering cross-functional collaboration to achieve significant business growth and efficiency.
Vivekananda Institute of Technology (BPUT)
B.Tech · Mechanical Engineering
August 1, 2015 – May 1, 2019
Neophyte Ambient Intelligence Pvt. Ltd.
Lead Frontend Engineer
May 1, 2023 – Present
Navi Mumbai, Maharashtra
Mosahaya Associates Pvt. Ltd.
Frontend Developer
February 1, 2020 – April 1, 2023
Bhubaneswar, Odisha
NeoJewelry - AI Jewelry Studio & Virtual Try-On
June 4, 2026 – Present
Built an end-to-end React.js / TypeScript jewelry design platform with modular studios for text-to-image generation, sketch-to-design, and multi-design fusion using OpenAI API and Google Gemini API. Executed real-time 3D virtual try-on in-browser using Three.js and MediaPipe face/hand tracking for earrings, necklaces, and rings — zero native app installation required. Designed MongoDB schemas for versioned design history per module, supporting user-specific galleries and efficient analytics queries. Integrated Razorpay subscription billing with token-based consumption metering and tier-based access control across plans. Automated AI-generated marketing copy and ad creatives per jewelry piece via LLM prompt engineering workflows.
Sentinel - AI-Powered CCTV Onboarding & Surveillance Platform
June 4, 2026 – Present
Deployed across 500+ exam halls; real-time AI services for footfall tracking, loitering detection, and mobile phone detection with instant WhatsApp & Telegram push notifications via webhook integrations. Engineered a browser-based ROI (Region of Interest) annotation tool over live camera frames using the Canvas API — adopted as a core reusable utility across multiple AI surveillance projects, enabling operators to define detection zones without backend redeployment. Built a React.js multi-camera management dashboard with real-time event log filtering and alert feeds via WebSockets. Designed RESTful API endpoints with Node.js / Express.js to onboard camera feeds, configure AI model parameters, and manage notification rules per site. Enforced JWT-based RBAC for site admins and operators with audit logging for compliance in high-security examination environments.
Disha - AI Planogram, Shelf-Fullness & POP Compliance Monitoring Platform
June 4, 2026 – Present
Instituted in 1,000+ Reliance Smart stores and Trends outlets; monitors shelf-fullness, planogram compliance, and POP (Point of Purchase) placement adherence in real time. Developed a React.js retail analytics dashboard surfacing SKU-level compliance scores, out-of-stock alerts, and store-wise performance heat maps with drill-down Responsive Design. Rendered AI inference results as annotated shelf image overlays using the Canvas API, consumed from RESTful APIs and displayed with zero page reload. Built a bulk store onboarding workflow with CSV import, camera configuration, and planogram template assignment, reducing per-store setup time by 70%. Configured real-time WebSocket notifications for out-of-stock and compliance breach events, enabling floor managers to respond within minutes. Designed export and reporting pipelines (PDF/Excel) for weekly compliance summaries consumed by Reliance category managers.
Achieved a high score, indicating excellent understanding and practical skills in experienced frontend development with React and TypeScript.
Strengths
Limitations
Cultural Fit Analysis
The psychometric test score of 76% suggests a good cultural fit, indicating the candidate possesses desirable traits such as logical reasoning, a positive work attitude, effective stress handling, and strong team collaboration abilities. These attributes are crucial for a lead role requiring significant interaction and mentorship.
Soft Skills & Operational Fit
The candidate's psychometric test score (76%) indicates strong logical reasoning, a positive work attitude, effective stress handling, and good team collaboration skills. Resume highlights such as Agile Methodologies, Project Management, and Cross-Functional Collaboration further support a strong operational fit for a lead role, including mentoring junior developers.
A very low score suggests significant challenges in applying Next.js and React concepts to a practical build scenario, which is a critical skill for a senior frontend role.
Strengths
Limitations
Achieved a perfect score, indicating outstanding expertise and comprehensive knowledge across the MERN stack, highly relevant for a Lead Node.js Developer position.
Strengths
Limitations