PhD in Physics · Data Scientist · ML/AI Engineer · MLOPS · Researcher (IIT-Bombay, CityU Hong Kong and HKUST)
🚀 Resilient, disciplined, and endlessly curious, I’m a results-driven AI/ML Engineer with hands-on experience across the full model lifecycle from evaluation and validation to integration and production deployment.
📊 specialized in statistical analysis, hypothesis testing, and A/B testing to drive data-informed decisions and continuously improve model performance.
⚙️ Designed and build robust CI/CD and end-to-end automation pipelines, with strong experience in monitoring, data & model drift detection, and long-term production stability.
🐳☸️ I deploy scalable ML systems using Docker and Kubernetes, focusing on reliability, performance, and maintainability.
88% pixel accuracy on CARLA self-driving dataset
TensorFlow/Keras · Encoder-decoder with skip connections
Small/mid-cap screening + backtesting
Earnings quality · Momentum · Risk management
~0.2% electrostrain via synchrotron X-ray analysis
Sn-doped BCZT piezoceramics · Phase transition mechanisms
3D phantom models with 100% imaging accuracy
70% cost savings vs commercial electrodes
PhD Physics – CityU Hong Kong (Advanced Materials)
Mathematics for Machine Learning Specialization (Coursera, Imperial College London) – Completed Sep 2025
Python 3 Programming Specialization (Coursera, University of Michigan) – Completed Dec 2025
Machine Learning Specialization (Coursera, DeepLearning.AI & Stanford) – Completed Aug 2025
Deep Learning Specialization (Coursera, DeepLearning.AI & Stanford) – Completed Jan 2026
Applied Deep Learning using Python (NIT Kurukshetra, Haryana) – Completed Sep 2025
Microsoft Power BI (Udemy, Kulture Hire) – Completed Dec 2025
AI-driven automation and Agentic AI workflows using n8n (Udemy, Mayank Aggarwal) – In Progress
End-to-End MLOps Bootcamp (Udemy, Krish Naik) – In Progress
Generative AI with Large Language Models (Coursera, DeepLearning.AI & Stanford) – In Progress
R and R Studio: Data Analytics, Data Science, Statistical Analysis (Udemy, Kirill Eremenko) – In Progress
🔥 ** LLM /SLM, RAG, Transformers & Agentic AI**
🔥 Advanced MLOps (MLflow, production pipelines)
🔥 Financial Time Series (GARCH, multivariate forecasting)
Data Science ·AI & ML Engineering · Business & Quant Research opportunities worldwide
📫 GitHub Issues | LinkedIn (profile link)
🌍 Hong Kong | Open to remote/global roles