Frontend Developer with less than a year in React.js & AI Integration
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As a B.E. (Hons.) Electrical and Electronics student, I am a highly skilled Frontend Developer with 0.8 years of internship experience, specializing in modern web technologies like React.js, Next.js, and Node.js. I have a strong foundation in data structures, algorithms, and AI/LLM integration, as demonstrated through impactful projects such as an AI-powered mock interviewer and a multi-tenant SaaS API. My expertise extends to building scalable, user-centric applications and contributing to significant initiatives in both corporate and non-profit sectors.
Birla Institute of Technology and Science, Pilani
B.E. (Hons.) · Electrical and Electronics
October 1, 2022 – May 31, 2026
Maruti Suzuki India Ltd.
Frontend Developer Intern
August 1, 2025 – December 31, 2025
Gurgaon, Haryana, India
Indian Red Cross Society, NHQ
Data Analyst Intern
May 1, 2024 – July 31, 2024
New Delhi, Delhi, India
AI Mock Interviewer
June 25, 2026 – Present
Built an AI-powered mock interview platform where users select a role and difficulty, and the Gemini API acts as an interviewer: generating questions, evaluating answers, and providing structured feedback. Engineered a Node.js + Express backend with prompt-chained LLM calls to score answers (out of 10), surface strengths and gaps, and generate an end-of-session summary; persisted session history in MongoDB. Streamed AI-generated questions to the client in real time using Server-Sent Events; used Gemini's native responseSchema structured output to guarantee valid JSON feedback, eliminating fragile regex parsing and markdown artifacts in LLM responses.
View ProjectFull-Stack E-Commerce Platform
June 25, 2026 – Present
Developed a full-stack e-commerce web app using React.js and Firebase (Auth + Firestore) with a custom SCSS design system and responsive layout. Managed complex async workflows (cart logic, authentication, API calls) via Redux and Redux-Saga, ensuring predictable global state. Delivered a role-based Admin Dashboard with real-time CRUD for product inventory and image uploads; implemented multi-step checkout with Formik & Yup validation.
View ProjectMulti-Tenant SaaS API
June 25, 2026 – Present
Built a multi-tenant REST API with JWT authentication, RBAC (admin/member), and an org-isolation middleware layer that automatically filters every database query by organizationId, preventing cross-tenant data access. Implemented plan-tiered rate limiting (100 / 1,000 / unlimited req per hr) keyed per organization rather than per IP, with async usage tracking and live plan upgrade/downgrade endpoints. Secured the invite flow with a separate signed JWT secret and shorter token lifetime, ensuring invite tokens cannot be replayed as session tokens.
View ProjectPeer-to-Peer File Sharing System
June 25, 2026 – Present
Designed a BitTorrent-inspired P2P system with multi-threaded trackers and peers using socket programming, enabling concurrent upload/download within private groups. Implemented a piece-selection algorithm for parallel downloads from multiple peers, enabling faster and more efficient large file transfers. Built peer registration, group access control, and session management (online/offline status) for secure, isolated file sharing.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI integration to full-stack e-commerce and even a P2P file sharing system, demonstrates a strong curiosity and willingness to explore various technical domains. This breadth of interest, combined with experience in both frontend and backend, suggests adaptability and a collaborative spirit, which are valuable for cultural fit in dynamic teams. The personal projects show initiative beyond academic requirements.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving mindset, particularly in building an AI-powered interviewer and a multi-tenant SaaS API. The ability to manage complex async workflows and implement robust authentication/authorization schemes suggests attention to detail and a structured approach to development. The data analyst internship also highlights an ability to improve operational efficiency through technical solutions.