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Full Stack Engineer with 1+ years in Web Development & AI/ML
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Full Stack Developer Intern with 1.1 years of experience in web development and AI/ML, specializing in building responsive and secure applications. Proficient in MERN stack technologies (React.js, Node.js, Express.js, MongoDB) and AI/ML components like OpenCV, TensorFlow.js, and faceapi.js. Proven ability to lead team projects, implement complex workflows, and contribute to both frontend and backend development. Eager to leverage strong problem-solving skills and technical expertise to deliver impactful solutions.
Vignan's Lara Institute of Technology & Science
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Vidwan's Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Smart Bridge & APSCHE
FULL Stack Developer Intern
May 1, 2025 – July 31, 2025
India
Smart Search for Finding Missing Person Using AI
May 1, 2025 – July 31, 2025
Addresses slow and ineffective missing person searches due to scattered data and lack of real-time recognition. Developed an AI-powered web app utilizing facial recognition (OpenCV, KNN, face-api.js) to match uploaded images with a database. Integrated features such as scanning, multilingual translation, filters, NGO support, and chat for enhanced accessibility.
YOGIK - YOGA MONITORING SYSTEM
May 1, 2025 – July 31, 2025
Developed a Yoga Monitoring System that detects user postures in real-time and provides corrective feedback. Recommended personalized yoga poses to improve user performance and track progress. Implemented features like timer and posture guidance to enhance user engagement.
Elite +Silver certified in Python
NPTEL SWAYAM
June 1, 2026 – Present
Elite in Java
NPTEL SWAYAM
June 1, 2026 – Present
React.js Course - Namasthe-React.js
Akshay Saini
June 1, 2026 – Present
Full-Stack Web Development Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying technology to solve real-world problems (missing persons, yoga monitoring), which aligns with an innovative and impact-driven culture. Participation in the Women Engineers program and consistent engagement with competitive programming platforms (LeetCode, HackerRank) suggest a proactive and growth-oriented mindset. The breadth of skills across frontend, backend, and AI/ML indicates adaptability and a willingness to explore diverse technical areas, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's involvement in team projects (DocSpot, Smart Search) and leadership role in the internship suggest good teamwork and coordination skills. The Women Engineers program participation indicates a commitment to continuous learning and professional development. However, without specific psychometric or English test results, a deeper assessment of operational fit and communication clarity in a professional setting is limited.