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KS

KEERTHAN S

B.E. AI & ML student · Aspiring Software Engineer

Mangaluru, Karnataka, India

@keerthan

LinkedIn

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🎓 B.E. in Artificial Intelligence and Machine Learning at VTU · Graduating 2026

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About

Aspiring Software Engineer with a B.E. in Artificial Intelligence and Machine Learning and hands-on experience in Python, FastAPI, SQL, and machine learning. Built projects in computer vision and retrieval-augmented generation, and completed a Data Science internship focused on backend, data pipelines, and reporting.

Experience

  • Data Science Intern
    Dextris Info Service · Bangalore
    Jan 2026 – May 2026

    Built Python, FastAPI, and SQL database projects through hands-on, project-based training in backend and web technologies. Wrote and optimized SQL queries for data extraction, transformation, and reporting. Automated data cleaning and transformation pipelines using Pandas and NumPy. Used Git and GitHub for version control and took part in project tracking.

Education

  • B.E.
    KVG College of Engineering, Sullia
    Artificial Intelligence and Machine Learning · 2022 – 2026
  • Pre-University
    Govt. PU College, Kombettu, Puttur
    Science (PCMB) · 2020 – 2022
  • SSLC
    Sarvodaya High School, Sullia Padavu
    2019 – 2020

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
SQL Python FastAPI
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C CSS HTML NumPy Keras Pandas OpenCV JavaScript TensorFlow scikit-learn ReactJS (preferred) API Integration Understanding Retrieval Augmentation Generation

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Git GitHub
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
MySQL Tableau Raspberry Pi Microsoft Power BI

Projects

  • YouTube Transcript RAG Chatbot
    Python, LangChain, FAISS, Sentence Transformers, LLMs, Streamlit

    Built a Retrieval-Augmented Generation pipeline that converts YouTube transcripts into searchable vector embeddings for context-aware Q&A. Achieved approximately 85% relevant-answer accuracy on evaluated test queries by combining LLM responses with prompt engineering.

  • Smart Glasses for Visually Impaired People
    Python, YOLOv8, OpenCV, Raspberry Pi, Text-to-Speech

    Built a real-time object detection system using YOLOv8 and OpenCV that identifies 80+ everyday objects at approximately 90% mAP@50. Converted detections into real-time audio alerts using text-to-speech, helping visually impaired users navigate their surroundings independently.

  • Face and Emotion Recognition Using Machine Learning
    Python, TensorFlow, Keras, OpenCV, FER-2013 Dataset

    Built a CNN-based facial emotion recognition system trained on 35,000+ labeled images across 7 emotion classes, achieving approximately 89% validation accuracy. Integrated OpenCV for real-time webcam inference, enabling use cases such as attendance tracking and engagement monitoring.

Courses & certifications

  • Data Visualization Using Power BI and Tableau · TATA · 2026
  • SQL for Developers · freeCodeCamp · 2026
  • C Programming · Qspiders · 2026
  • Python for Data Science · GeeksforGeeks · 2026

🏆 Achievements & awards

  • Runner-up, KVGCE Project Expo · 2024
  • Solved 400+ Python problems

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