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Full Stack Engineer with 1+ years in Python & Web Development.
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Problem-solving engineer with experience building end-to-end software systems across APIs, databases, and intelligent workflows. Strong foundation in data structures and algorithms, demonstrated by solving 340+ LeetCode problems. Hands-on exposure to integrating machine learning, NLP, computer vision, and speech components into production-oriented applications. Exposure to generative AI workflows, prompt-based interactions, and LLM-powered applications in enterprise-style workflows.
Kongu Engineering College
B.Tech · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2027
Adhiyaman Matric Higher Secondary School
Higher Secondary Education
June 1, 2022 – May 31, 2023
Bharat Intelligence
Full Stack Developer Intern
August 1, 2025 – October 1, 2025
India
PunchBiz
Full Stack and AI Intern
June 1, 2025 – Present
India
VISUAL-AI – Multimodal Visual Scene Understanding System
June 1, 2026 – Present
Processed images to detect objects and infer scene context using computer vision models. Converted structured visual analysis into human-readable explanations using LLMs. Separated detection, reasoning, and explanation into modular backend APIs. Integrated foundational models for multimodal inference and explanation generation.
View ProjectTriScan – Intelligent Document Analysis and Comparison
June 1, 2026 – Present
Extracted text from images, documents, and web pages using OCR and scraping pipelines. Compared extracted content across heterogeneous sources for similarity analysis. Designed modular services for scalable document processing.
View ProjectSQLTalk – AI-Powered Natural Language to SQL Analytics Platform
June 1, 2026 – Present
Enabled users to query PostgreSQL databases using natural language without writing SQL. Validated AI-generated SQL before execution and visualized results with charts and exports. Designed a secure analytics workflow combining AI reasoning with database execution. Applied prompt-based interactions and Retrieval-Augmented Generation (RAG) logic to generate context-aware SQL responses.
View ProjectNewsSense – AI-Based News Classification System
June 1, 2026 – Present
Classified news articles into multiple categories using NLP techniques. Performed preprocessing, feature extraction, and inference using classical ML models. Exposed predictions via a REST API for external consumption.
View ProjectMedVision – Brain Tumor Detection from MRI
June 1, 2026 – Present
Accepted MRI images through a web interface and generated prediction visualizations. Integrated a CNN-based deep learning model for tumor detection. Managed preprocessing, inference, and result display in a single workflow.
View ProjectVoxAI – Speech Analytics and Recognition System
June 1, 2026 – Present
Converted audio input from files and microphones into structured text output. Handled audio preprocessing and speech recognition workflows. Designed the system for extensibility toward downstream speech analytics.
View ProjectMicrosoft Certified - Power BI Data Analyst Associate
Microsoft
January 1, 2025 – Present
MongoDB Certified Associate Developer
MongoDB
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse personal projects, particularly those integrating AI/ML with full-stack development, align well with an innovative and technically curious culture. The internships, though short, show an interest in applying skills in a professional setting. The breadth of technologies and concepts explored suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic environment. However, the candidate's experience level (still pursuing a B.Tech degree) means they are early in their career, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to break down complex systems into modular components. The internship experience suggests an understanding of operational aspects like API rate limits, caching, and deployment support. However, without direct interaction, it's difficult to assess communication, teamwork, and stress handling abilities.