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Full Stack Engineer with 3+ years in MERN, Gemini AI & Data Structures
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and skilled Full Stack AI Engineer with 3.7 years of project experience, specializing in MERN Stack and AI/ML technologies. Proficient in developing and deploying AI-powered applications, optimizing system performance, and enhancing user engagement. Proven ability to lead development teams and deliver innovative solutions across various domains, including postal automation, browser extensions, and travel platforms. Adept at leveraging modern web technologies and robust backend systems to create scalable and efficient applications.
Pimpri Chinchwad College of Engineering
Bachelor of Computer Engineering · Computer Engineering
November 1, 2022 – June 1, 2026
Art Circle PCCOE
Short Film Club Head
August 1, 2023 – June 1, 2025
India
TravelCrow
November 1, 2022 – August 1, 2024
Led full-stack development of a responsive travel platform with React and Tailwind CSS; integrated Gemini API to auto-generate personalized itineraries, boosting user engagement by 40%. Incorporated dynamic imagery from Pexels API and deployed via Firebase, Vercel, and OnRender to ensure high performance, scalability, and seamless cross-device usability.
ApplyBuddy
November 1, 2022 – June 1, 2025
Engineered a Manifest V3 Chrome extension with an AI-powered 8-method field detection algorithm, achieving 95%+ autofill accuracy and reducing form-filling time by 80% across platforms like LinkedIn and Greenhouse. Architected a scalable Node.js/Express backend with MongoDB and Redis caching for sub-200ms API response times; integrated n8n and Gemini AI to parse, summarize, and store job postings from Gmail API, reducing manual processing time by 75%.
PostalAI
November 1, 2022 – October 1, 2024
Engineered an AI-powered postal address validation system with fuzzy string matching using Levenshtein distance, achieving 71%+ accuracy in correcting misspelled addresses and reducing mail misrouting by 80% across Maharashtra. Architected a full-stack MERN application with Material-UI frontend and MongoDB backend, delivering sub-500ms API response times; implemented Dijkstra's algorithm for hub-to-hub routing optimization across 12 postal hubs with 200ms response time. Developed token-based preprocessing and similarity threshold algorithms to handle address variations in different formats, improving data matching accuracy by 65% and reducing false positives in duplicate detection.
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications, from postal address validation to job application autofill and travel planning, indicating adaptability and a broad interest in problem-solving. Their involvement in a college club as a leader suggests a proactive and collaborative attitude. The technologies used across projects align well with a Full Stack Engineer role, demonstrating a willingness to learn and apply various tools. However, the experience is primarily academic, and real-world team collaboration in a professional setting is not explicitly detailed.
Soft Skills & Operational Fit
The candidate demonstrates leadership and team management skills through their role as Short Film Club Head, where they directed a documentary and managed a large team. Communication and problem-solving are also listed as soft skills, which are crucial for a Full Stack Engineer role. The project descriptions are clear and highlight impact, suggesting good communication of technical achievements.