AI Engineer with less than a year in Data Science and 1 Month of internship experience in Machine Le
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Assessing your cultural and operational fit
Highly motivated individual pursuing a B.Tech in Computer Science and Engineering - Data Science, with a passion for Artificial Intelligence and Machine Learning. Possessing foundational experience as a Machine Learning Intern, where I built and deployed a stock price prediction system and developed robust data preprocessing and model evaluation pipelines. My project work demonstrates expertise in natural language processing, computer vision, and building end-to-end AI applications using Python, TensorFlow, Keras, and modern web frameworks like React and TypeScript. I am eager to leverage my skills in deep learning, NLP, and data analysis to contribute to innovative AI-driven solutions.
St. Thomas College of Engineering & Technology
B.Tech · Computer Science and Engineering - Data Science
August 1, 2023 – August 1, 2027
Chothavoor Higher Secondary School
Higher Secondary · Science Stream
June 1, 2021 – May 31, 2023
Elevate Labs
Machine Learning Intern
May 1, 2025 – June 1, 2025
India
EchoNote
June 2, 2026 – Present
Built a local-first AI pipeline that transcribes lecture videos using faster-Whisper and segments them into chapters using sentence-transformer embeddings with cosine similarity thresholding. Integrated Google Gemini to generate chapter titles, summaries, key points, and importance scores (0.0-1.0) for study prioritization. Processes a 1-hour lecture in under 8 minutes on CPU. Frontend built with React, TypeScript, Tailwind CSS, and shaden/ui with integrated video playback and chapter-synced timestamp navigation.
Stock Price Prediction
June 2, 2026 – Present
Developed an LSTM-based stock price prediction model using TensorFlow and Keras on historical market data. Implemented time-series preprocessing, sliding window sequences, and model evaluation with RMSE metrics.
Defect Lens – AI Property Inspection System
June 2, 2026 – Present
Built an AI-powered property inspection pipeline that accepts video or image input, extracts frames, and runs defect detection using a custom-trained YOLOv8 model with annotated bounding boxes and class labels. Integrated Google Gemini Vision API for semantic analysis of detected defects and implemented a risk scoring engine that computes per-frame and overall risk levels. Deployed as a Streamlit web app with live camera capture, frame-by-frame inspection, and report generation. Trained custom YOLO weights on wall defect dataset via Roboflow.
Python for Data Science
Indian Institute of Technology (IIT)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (lecture transcription, stock prediction, defect detection) shows a broad interest in applying AI to different domains. Involvement in a web development club and winning a DevSprint indicates a collaborative and competitive spirit. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical skills and project focus. However, the lack of extensive team-based project experience or long-term professional roles limits the depth of cultural fit assessment.
Soft Skills & Operational Fit
The candidate demonstrates initiative and problem-solving skills through personal projects. The internship experience, though short, indicates an ability to work in a professional setting. Participation in a web development challenge and club suggests teamwork and a proactive learning attitude. However, the limited professional experience means operational fit beyond project execution is largely unproven.