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AI Engineer with less than a year in Backend Development & Cloud Computing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring software developer with experience in backend development, cloud computing, and data analysis. Proficient in Python, PostgreSQL, and front-end technologies. Skilled in building scalable and efficient applications. Passionate about AI, automation, and problemsolving.
SARANATHAN COLLEGE OF ENGINEERING
B.Tech · Artificial Intelligence and Data Science
November 1, 2021 – April 30, 2025
E WASTE FACILITY LOCATOR
June 23, 2026 – Present
This project offers a user-friendly web application for locating nearby e-waste recycling facilities. It incorporates AI to provide informative insights into e-waste disposal practices. Powered by Django, and AI libraries like geodesic, transformers.
STOCK MARKET PREDICTION USING LSTM
June 23, 2026 – Present
I built a stock market prediction model using LSTM networks and historical stock prices. The model was evaluated using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The user interface, created with Streamlit, allows users to input stock ticker symbols and view historical data
BIRD CALL RECOGNITION AND COUNTING USING DEEP LEARNING
June 23, 2026 – Present
Developed an AI-driven system for Indian bird species identification and population estimation from audio recordings. Used Mel Spectrograms and EfficientNet-B0 for classification, with advanced event detection to minimize double counting. Built a Streamlit-based web app for real-time analysis, supporting biodiversity monitoring and conservation research.
Finalist at Daksh Hackathon
Sastra University
June 1, 2026 – Present
Code Like Ninja (Catalyst Zoho)
NIT, Trichy
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI and data science, which aligns well with an AI Engineer role. The diversity of projects (e-waste, stock prediction, bird recognition) shows a breadth of application areas for AI, indicating adaptability and curiosity. The participation in hackathons and workshops suggests a proactive approach to learning and engagement within the tech community. However, the lack of professional experience means cultural fit is primarily inferred from academic and project engagement.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to apply AI techniques to real-world scenarios. The academic projects suggest a capacity for independent work and technical execution. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.