Experience

BidsUK.Tech ↗

Building and deploying production ML models and AI systems

• •Develop and train machine learning models (classification, regression, ranking) using PyTorch and TensorFlow for production applications
• •Optimize model performance through feature engineering, hyperparameter tuning, and ensemble methods; track metrics (accuracy, latency, throughput)
• •Deploy models to production using FastAPI, Docker containerization, and cloud infrastructure (AWS/Azure); implement inference optimization for real-time serving
• •Design and maintain data ingestion pipelines from multiple sources; implement data validation, quality checks, and error handling
• •Handle production issues: debugging model failures, optimizing latency, managing computational resources
• •Implement monitoring and logging for production ML systems; track model performance drift and data drift over time

PRAYAS 3.0 | CCE, IIT Mandi ↗

1-Month Residential Program on Robotics, AI, IoT & Data Science

• •Led a team of mentors, guiding 100+ students in Robotics, AI, IoT, and Data Science
• •Delivered tutorials on AI/ML, Computer Vision (OpenCV), Edge AI (TensorFlow)
• •Supervised practical projects including robotic arm control, chatbot integration, ROS simulations
• •Mentored students in building end-to-end solutions, ensuring successful project completion

Coratia Technologies Pvt. Ltd.

Underwater robotics company specializing in underwater inspection services using ROVs & AUVs

• •Architected and deployed AI-powered predictive maintenance system leveraging ML and IoT data, reducing inspection cycles by 25%
• •Designed end-to-end ML pipeline including EDA, preprocessing, feature engineering, and statistical analysis
• •Built Random Forest and Logistic Regression models achieving 0.94 ROC-AUC with comprehensive model evaluation
• •Leveraged Python, Pandas, NumPy, and Scikit-learn for production-grade ML pipelines