Machine Learning and MLOps Engineer with expertise in building scalable, production-ready solutions.
Skilled in ML and DL frameworks like TensorFlow, PyTorch, Scikit-learn, Transformers, and Hugging Face, as well as cutting-edge techniques like Prompt Engineering, Generative AI, and LangChain.
Proficient in cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes, Kubeflow) for creating robust ML pipelines and driving innovation.
✅ Implement MLOps with Kubeflow on Kubernetes and Vertex AI to build ML CI/CD/CT Pipelines, Distributed training, Model Serving, etc.
✅ Develop, Package, Containerize or Fine-tune machine learning models, and Deploy into production environments (AWS & GCP), Cloud Run or GKE.
✅ Leverage Kubernetes to orchestrate and deploy containerized applications and optimizing resource utilization, and GCP Cloud Run for Serverless Apps.
✅ Employ Prompt Engineering strategies, Prompt Priming, 0-1-Few Shot learning in LLMs to refine model inputs and guide outputs, improving the quality and relevance of AI-generated content and predictions.
✅ Building customized GPT.
✅ Building and training a Encoder-Decoder Transformer, Decoder Transformer (GPT) and Encoder Transformer for classification (PyTorch).
✅ Developed an English – Spanish translator by building an Encoder-Decoder Transformer and training it on a Spanish – English dataset.
✅ Proficient in developing and fine-tuning Large Language Models (LLMs) for Generative AI solutions.
Master of Engineering (ME)
Concordia University
Courses: Machine Learning, Big Data for Smart City, Building Information Modeling, Project Management, and more
Bachelor of Engineering (BE)
IUST
Courses: Fundamentals of Computer Programming, Theory of Probability, Numerical Computations, Operations Research, and more.
Programming Languages:
Machine Learning & Deep Learning Frameworks:
Cloud Platforms & Tools:
Google Cloud Platform (GCP) MLOps & DevOps:
Generative AI & Large Language Models (LLMs):
GPT (Customized, Encoder-Decoder Transformers) Serverless Applications:
Data Analysis & Visualization:
Explanatory Data Analysis (EDA) Matplotlib, Seaborn and Plotly Blockchain Development:
Ethereum Smart Contracts (using Solidity) Time Series Analysis & Predictive Analytics:
Project Planning & Management:
Project planning and scheduling Publications & Research Skills:
Academic writing and research (machine learning, optimization algorithms, forecasting) Languages: