Rudraksh Jani Rudraksh225

🧬 About Me

class RudrakshJani:
    location    = "Ahmedabad, Gujarat, India 🇮🇳"
    education   = "B.E. Computer Engineering — SAL Institute (2024)"
    
    focus       = ["Computer Vision", "Deep Learning", "MLOps", "Predictive Modeling"]
    currently   = "Building production-grade AI systems & exploring cutting-edge CV research"
    
    stack       = {
        "languages"  : ["Python", "SQL", "HTML/CSS"],
        "dl_frameworks": ["TensorFlow", "PyTorch", "Keras"],
        "ml_tools"   : ["Scikit-Learn", "NumPy", "Pandas", "Transformers"],
        "mlops"      : ["MLflow", "DVC", "Dagshub", "Docker", "Airflow"],
        "cloud"      : ["AWS", "GCP", "Azure"],
        "cv_tools"   : ["OpenCV", "CNN", "Autoencoder", "YOLO"],
    }
    
    fun_fact    = "I believe every pixel of data tells a story — I just help machines read it 📖"

🏢 Experience

🔵 Vodafone Intelligent Solutions
Machine Learning Engineer · Aug–Oct 2022

Built a personalized recipe recommendation engine using TF-IDF + cosine similarity, designed cloud-compatible ETL pipelines, and deployed to AWS S3.

🟣 Karma Technolab
ML Intern · Jan–Mar 2024

Engineered a deep learning Image Super-Resolution system using autoencoder architectures with custom loss functions and advanced CNN techniques via TensorFlow & OpenCV.

🟠 Afame Technologies
ML Intern · Apr–May 2024

Developed a scalable customer churn prediction pipeline on the U.S. Bank dataset using KNN, feature engineering, and model validation — deployed via AWS S3.

⚡ Independent AI/ML Contributor
Self-Directed · Jun 2024 – Present

Built end-to-end projects across computer vision and predictive modeling — handling data preprocessing, feature engineering, and performance tuning independently.

🚀 Featured Projects

🩺 Kidney Disease Classification

End-to-end deep learning pipeline for medical image classification using CNNs. Integrated MLflow for experiment tracking, DVC for data versioning, containerized with Docker, and served via a RESTful Flask API.

⚽ Football Match Analysis System

Video analysis system to detect & track players, referees, and ball movements using OpenCV. Applied K-Means team classification and perspective transformation to compute real-world speed and distance metrics.

🚀 SpaceY — Falcon 9 Reusability Predictor

Classification model to predict SpaceX Falcon 9 first-stage reusability using data scraped from SpaceX REST APIs & Wikipedia. Features interactive dashboards via Plotly Dash and geospatial visualizations with Folium.

🖼️ Image Super-Resolution (Autoencoder)

Deep learning model to restore high-fidelity images using a custom autoencoder with advanced CNN layers and bespoke loss functions. Rigorously evaluated for production-level reliability and scalability.

🛠️ Tech Stack

Core ML/DL

MLOps & Deployment

Cloud & Data

📜 Certifications

🏅 Certification	🏫 Issuer
Machine Learning Specialization	DeepLearning.AI × Stanford University
TensorFlow Developer Specialization	DeepLearning.AI
TensorFlow: Advanced Techniques Specialization	DeepLearning.AI
IBM Data Science Professional	IBM
British Airways Data Science Job Simulation	Forage

📊 GitHub Stats

🌐 Connect With Me

"The goal is to turn data into information, and information into insight." — Carly Fiorina

Navigation Menu