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Full Stack Engineer with less than a year in Python & React
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 (CGPA 8.89) who has shipped two production-grade, live applications — a solar-energy forecasting app deployed on Render (~95% accuracy) and a React-powered emotion-aware AI chatbot with a published research paper. Brings internship-proven experience across the full stack: Python + Flask backends, SQL databases, and React frontends. Seeking opportunities to contribute to impactful full-stack and AI-driven applications.
R. L. Jalappa Institute of Technology
B.E. Computer Science · Computer Science
January 1, 2022 – January 1, 2026
Shaheen Group of Institutions
PUC
January 1, 2021 – January 1, 2022
M. A. B. L High School
SSLC
January 1, 2020 – January 1, 2020
Qspiders
Trainee Developer
February 1, 2026 – May 1, 2026
India
Plasmid
Software Intern
March 1, 2025 – June 1, 2025
India
SolarML - Solar Power Forecasting Web App
June 1, 2026 – June 1, 2026
Engineered an XGBoost regression model on 2 years of solar irradiance data, achieving ~95% prediction accuracy (RMSE < 0.12 kWh) — outperforming a baseline linear model by 18%. Deployed end-to-end on Render via a Flask REST API with a real-time visualization dashboard, serving forecasts in <200 ms per request — accessible publicly via live URL. Stack: Python, XGBoost, Flask, Pandas, Matplotlib, HTML/CSS
AI-Powered Mental Health Chatbot
June 1, 2026 – June 1, 2026
Built a React frontend with component-based UI for real-time emotion feedback, replacing a static HTML interface and enabling dynamic state updates without page reloads. Designed a multimodal emotion-detection pipeline (text + audio + image) classifying user state into 7 categories, with context-aware response templates served via Flask API. Research paper accepted in IJRAR (UGC-approved journal), 2025 — peer-reviewed validation of the approach. Stack: React.js, Python, Flask, NLP, Computer Vision, Audio Processing
Introduction to Generative AI
Unknown
June 1, 2026 – Present
AI and Green Skills - Responsible Tech for Sustainable Development
Unknown
June 1, 2026 – Present
Introduction to SQL - Structured Query Language Fundamentals
Unknown
June 1, 2026 – Present
Introduction to Cryptography for Beginners
Unknown
June 1, 2026 – Present
"AI Powered Mental Health Chatbot"
IJRAR (UGC Approved Journal)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a solar forecasting app and an AI-powered mental health chatbot, indicates a broad interest in applying technology to different domains. Their academic background and certifications in AI, SQL, and cryptography show a proactive approach to learning and skill development. The target role of Full Stack Engineer aligns well with their demonstrated experience in both frontend (React, HTML/CSS) and backend (Python, Flask, SQL) development, as well as their ML deployment skills. This breadth of skills and eagerness to learn suggests a good cultural fit for an innovative and growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and project ownership, having shipped two production-grade applications and published a research paper. Their experience in reducing post-launch bugs through validation and testing suggests an attention to quality and detail. The ability to work ahead of schedule indicates good time management and efficiency. While direct team collaboration experience is not explicitly detailed, the project-based work implies an ability to manage tasks independently and contribute effectively.