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Fullstack Engineer with 1+ years in AI/ML, Cloud, and scalable applications with 1.0 Years of experi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science student and Software Developer. Experienced in building scalable applications with React, Next.js, Node.js, and AWS. Specialized in integrating LLMs and RAG into production. Strong algorithmic background with 1500+ problems solved across LeetCode (Knight), GFG, and Coding Ninjas.
Indian Institute of Information Technology Senapati, Manipur
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
Connectia Technology
Full Stack Developer
June 1, 2025 – Present
India
Site Guru
Full Stack Developer Intern
January 1, 2025 – May 31, 2025
India
Graph-Based Data Modeling & Query System
September 1, 2024 – August 31, 2025
Built an Order-to-Cash system using NetworkX and D3.js to visualize complex enterprise workflows for 1,000+ users. Developed an NL-to-SQL engine using Groq API (LLaMA 3), allowing natural language database querying. Containerized the application using Docker for consistent deployment across Vercel and Render cloud environments.
Crowdfunding Website for Digital Creators
June 1, 2024 – May 31, 2025
Designed to support 200+ digital creators in launching and managing crowdfunding campaigns. Architected Auth.js to handle 1,500+ secure logins per hour with sub-1% authentication latency. Integrated Razorpay Payment Gateway for up to 5,000 transactions per day. Built on Next.js, Express.js/Node.js, and MongoDB — engineered to support 10,000+ monthly active users.
Student Wellness Intelligence System (AURA)
March 1, 2024 – February 28, 2025
Developed AURA, a privacy-first AI system for early detection of student mental health risks using behavioral metadata (login patterns, WiFi zones, assignment activity) with a real-time React + FastAPI dashboard and MongoDB Atlas backend. Built an end-to-end ML pipeline using IsolationForest, XGBoost, and RandomForest with SMOTE and feature engineering, achieving 97.5% F1 score, with privacy safeguards including SHA-256 pseudonymization and encrypted vault.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from crowdfunding platforms to AI-driven wellness systems and graph-based data modeling, demonstrates a broad interest in technology and a willingness to tackle varied challenges. Their experience with both personal and academic projects, alongside internships and full-time roles, indicates a strong drive for continuous learning and application of skills. The focus on performance, scalability, and user experience across projects aligns well with a product-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on performance and scalability, which are critical for operational fit. The academic project 'AURA' also highlights an understanding of privacy and ethical considerations in AI. The candidate's ability to work with diverse technologies and integrate complex systems suggests strong adaptability and a collaborative mindset.