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AI Engineer with less than a year in Full-Stack Development and Machine Learning.
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Assessing your cultural and operational fit
AIML graduate with experience in Full-Stack Development, Database Systems, and AI applications. Skilled in building scalable software solutions and applying technology to solve real-world problems.
Kongu Engineering College, Erode
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
I.V.L. Matric Hr. Sec. School, Dharmapuri
Grade 12
June 1, 2021 – May 31, 2022
I.V.L. Matric Hr. Sec. School, Dharmapuri
Grade 10
June 1, 2019 – May 31, 2020
Endava Solutions India Pvt. Ltd.
Software Development Intern
January 1, 2026 – May 1, 2026
India
Generative AI Consortium
AI Intern
November 1, 2024 – April 1, 2025
India
Intelligent Vehicle Entry-Exit Monitoring System
June 27, 2026 – Present
• Developed an AI-based vehicle monitoring system using YOLOv8 and OpenCV to detect and track vehicles from video streams. • Implemented real-time entry and exit counting using directional tracking logic with automated bounding box visualization and annotated video generation.
View ProjectROBERTa-BiLSTM with Attention for Sentiment Analysis
June 27, 2026 – Present
• Developed a hybrid sentiment analysis model combining RoBERTa, BiLSTM, and a word-level attention mechanism for improved sentiment classification. • Performed data preprocessing, model training, and evaluation using Twitter US Airline, IMDb, and Sentiment140 datasets, achieving up to 92.46% accuracy.
SQL Query Generator
June 27, 2026 – Present
• Built an AI-powered web tool to convert natural language into SQL queries. • Enabled live MySQL database connections and export of results as CSV/Excel files. • Integrated Gemini LLM to enhance semantic query accuracy and relevance.
View ProjectBlogNest Website
June 27, 2026 – Present
• Developed a scalable blog platform with post creation, commenting, and interactive features. • Implemented JWT authentication and user-specific actions like likes, favorites, and analytics.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in both AI/ML and full-stack development, aligning well with an AI Engineer role that often requires deploying models into production. The diversity of projects (NLP, computer vision, web development with AI integration) indicates adaptability and a broad technical curiosity. The academic background in AI/ML further strengthens the fit. The internships, though short-term, show an eagerness to gain practical experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate problem-solving abilities and collaboration skills, particularly in the Generative AI Consortium internship. The diverse project portfolio suggests a proactive and self-driven individual. However, without specific psychometric or English test results, a deeper assessment of communication clarity, work attitude, stress handling, and team collaboration is not possible.