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Full Stack Engineer with less than a year in AI/ML & MERN Stack Development
Computer Science undergraduate with strong foundation in backend development, Data Structures & Algorithms, and scalable system design. Experienced in building full-stack applications and RESTful APIs using modern technologies including Node.js, Express.js, and MongoDB. Hands-on experience with AI/ML concepts, NLP, and integrating AI APIs (LLMs) into applications. Familiar with prompt engineering and building intelligent systems. Proficient in Python and JavaScript with a focus on writing clean, efficient, and production-ready code. Eager to contribute to scalable AI-driven systems.
CGC University
B.Tech in CSE · Computer Science Engineering
August 1, 2023 – June 30, 2026
The Silver Oak School
Senior Secondary
June 1, 2022 – May 31, 2023
Pragya High School
Secondary
June 1, 2020 – May 31, 2021
Pragati Technology
Full Stack Developer & Prompt Engineering Intern
October 1, 2025 – Present
India
AI Resume Analyzer with LLM Integration
January 1, 2026 – Present
Developed an AI-powered system to analyze and rank resumes against job descriptions using NLP techniques Integrated LLM APIs for semantic analysis and intelligent candidate evaluation Designed scalable backend APIs for resume parsing and real-time processing Generated match scores, missing skills, and actionable feedback
Task Management System
January 1, 2026 – Present
Built scalable app with authentication and CRUD features Implemented secure login using JWT
Portfolio Website
January 1, 2026 – Present
Developed and deployed responsive personal portfolio Optimized UI/UX and performance
MyPahal - Community Support Platform
January 1, 2026 – Present
Developed a full-stack application connecting users with community initiatives Designed REST APIs and responsive UI using React
6 Weeks MERN Stack Training
Unknown
June 1, 2026 – Present
Prompt Engineering
Google Cloud
June 1, 2026 – Present
IBM SkillsBuild Certification
IBM SkillsBuild
June 1, 2026 – Present
Introduction to Generative AI
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in modern technologies, including AI/ML, which aligns with innovative and forward-thinking teams. Their participation in and organization of hackathons, along with leadership in a club, indicates a proactive and collaborative mindset. The diverse personal projects demonstrate a self-starter attitude and a passion for building, which are positive indicators for cultural fit in a dynamic engineering environment. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for more structured mentorship and guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's involvement in organizing hackathons and leading a club suggests initiative and leadership potential. The project descriptions indicate an ability to work on diverse tasks, from UI/UX optimization to backend API design. The internship as a Full Stack Developer and Prompt Engineering Intern shows adaptability and a willingness to learn new domains like AI prompting.