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AI Engineer with less than a year in Data Science and 1 Month of internship experience in Machine Le
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.
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.
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.
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.