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Frontend Developer with less than a year in React & Node.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and adaptable Computer Science Engineering student, eager to explore opportunities across diverse domains. Skilled in programming, problem-solving, and modern tools with hands-on project experience.
Dhanalakshmi Srinivasan Engineering College
B.E · Computer Science Engineering
August 1, 2022 – June 30, 2026
Thamarai Matriculation Higher Secondary School
Higher Secondary (12th)
June 1, 2021 – May 31, 2022
Thamarai Matriculation Higher Secondary School
Secondary School (10th)
June 1, 2020 – May 31, 2021
Tech Vaseegrah
Web Developer Intern
March 1, 2025 – July 1, 2025
India
LLM-Based Conversational AI for Government Services
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG)-based conversational AI using a fine-tuned Large Language Model (LLM) to assist citizens with government schemes and e-Sevai services. The system retrieves relevant information from official scheme documents and e-Sevai guidelines and generates clear, step-by-step explanations covering eligibility, required documents, application workflow, and common rejection reasons.
Alzheimer's Disease Prediction using Deep Learning
October 6, 2025 – Present
Developed a web-based system to predict Alzheimer's disease from MRI brain scan images using deep learning. The application allows users to upload MRI images through a web interface and performs automated disease classification using a Python backend.
The Complete Javascript Course 2025
Udemy
August 1, 2025 – Present
Web Technology Certification
SWAYAM (conducted by NTA)
July 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a diverse interest in projects, ranging from deep learning for medical applications to conversational AI for government services, alongside web development. This indicates adaptability and a willingness to explore different domains. The academic background and internship suggest a foundational understanding of professional environments. However, the limited professional experience means cultural fit is largely based on project diversity and stated interests.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems (Deep Learning, LLM-based AI) and a structured approach to development. The internship experience suggests an understanding of collaborative development and responsiveness to design requirements. However, without direct assessment data on soft skills, this remains an inference.