Ayush Kumar

B.Tech in Computer Science Engineering

Bachelor of Technology, Computer Science and Engineering, Sarala Birla University · 2026RanchiAvailable immediatelyOpen to opportunities

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Tasks completed

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Average score

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Certificates

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Badges

2

Internships & jobs

About

I'm a B.Tech Computer Science Engineering student specializing in AI/ML with hands-on experience in Python, TensorFlow, and scikit-learn. I've built scalable ML solutions including federated learning fraud detection and recommendation systems. I'm passionate about applying AI to real-world problems and seeking an entry-level AI/ML Engineer or Data Scientist role.

Skills

PythonMySQLTensorFlowKerasscikit-learnOpenCVDeep LearningComputer VisionNLPFederated LearningPandasNumPyMatplotlibSeabornPower BIAdvanced ExcelSQLStreamlitFastAPIREST APIJupyter NotebookVS CodeGitGitHubKaggle

Experience

  1. Movie Recommendation System · NIAMT

    Internship

    Developed a hybrid movie recommendation system combining content-based filtering, collaborative filtering, and mood-based recommendation with 92% user relevance accuracy. Processed TMDB dataset of 5,000+ movies; deployed via Streamlit with response time under 2 seconds.

  2. Advanced Business Data Analytics System — Federated Learning for Cross-Bank Fraud Detection · Cognevance Technology

    Internship

    Architected a privacy-preserving fraud detection system using Federated Learning (FedAvg) across 3 simulated banks. Achieved F1=0.8350, AUC=0.97, caught 431/492 frauds saving $52,768. Deployed REST API (FastAPI) and Streamlit dashboard for real-time monitoring.

Projects

Hotel Booking Analysis

Analyzed hotel booking dataset to identify booking trends, cancellation patterns, seasonal demand, and occupancy insights through EDA and a Power BI dashboard.

AI Desktop Assistant (LLM + Voice + System Automation)

Built a voice-enabled AI assistant using LiveKit Agents + LLaMA 3.1 (Groq) with Whisper STT and Cartesia TTS pipeline. Designed modular tool-based architecture supporting 20+ automation functions and integrated multiple APIs (Spotify, WhatsApp, Google Search, OpenWeather).

Face Mask Detection Model

Built a real-time face mask detection model using CNN achieving 96% accuracy on 10,000+ images. Reduced model loss to 0.08; integrated with OpenCV for live video detection at 30 FPS with 50ms latency.

Education

  • Sarala Birla University

    Bachelor of Technology, Computer Science and Engineering

    2022 – 2026 · CGPA: 7.43

  • Saraswati Shishu Vidya Mandir

    Class 12, Science

    2022 · 77.4%

Certifications & achievements

  1. AI-Machine Learning Engineer Certification · NSDC

    Certification

    AI-Machine Learning Engineer Certification from NSDC.

  2. Programming with Python: OOP, SQLite, GUI, AI · Internshala

    Certification

    Programming with Python: OOP, SQLite, GUI, AI certification from Internshala.

  3. Python for Data Science: NumPy, Pandas · IBM

    Certification

    Python for Data Science: NumPy, Pandas certification from IBM.

  4. Claude Certificate · Anthropic

    Certification

    Claude Certificate from Anthropic.

  5. AI/ML Internship Certificate · Cognevance Technology

    Certification

    AI/ML Internship Certificate from Cognevance Technology (2026).