Shiv

About

Final-year Electronics and Communication Engineering undergraduate at the University of Delhi with a minor in Artificial Intelligence & Machine Learning. Has hands-on experience building AI/ML-integrated backend systems, deep learning and graph neural network models, and reinforcement learning projects.

Education

• B.Tech in Electronics and Communication Engineering
  Faculty of Technology
  Electronics and Communication Engineering · 2023 – 2027

Skills

• SQL
• C
• FastAPI
• Python
• JavaScript
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• PyTorch
• Seaborn
• CNN (Convolutional Neural Network)
• HTML&CSS
• RESTful APIs
• XGBoost
• Pydantic
• graph neural networks

Projects

• Applied Data Science Projects
  Regression, Time-Series Forecasting, Classification, SMOTE, Clustering, A/B Testing

  Set of data science projects completed through WorldQuant University covering regression, forecasting, classification, clustering, and hypothesis testing.

• CaptAIn — AI Cricket Fielding Optimizer
  Python, NumPy, PPO, Custom Gymnasium Environment, 2D Physics Engine, Ball-by-Ball Analytics

  Reinforcement learning system trained on IPL/T20 ball-by-ball data to make real-time field placement decisions.

• Autism Spectrum Disorder Prediction — Dual-Stream CNN & GNN Benchmarking
  Python, PyTorch, PyTorch Geometric, Scikit-learn, XGBoost, fMRI Functional Connectivity, ABIDE Dataset

  Benchmarked classical ML against GNN architectures for ASD classification and extended the pipeline into a dual-stream CNN model.

• Autonomous Indian PayDay & Mandate Retry Engine
  Python, FastAPI, PydanticAI, SQLite, Async Scheduler, REST APIs, Webhooks

  AI-augmented backend system that diagnoses failed recurring payments and autonomously decides safe retries with deterministic guardrails and an LLM-based failure classifier.

Courses & certifications

• Data Science · TuteDude
• Power BI · TuteDude
• Generative AI · Google
• Applied Data Science Lab · WorldQuant University