Artificial Intelligence and Machine Learning Engineer
(EDA, ML Predictive modelling, Generative Deep Learning, MLOperations, Multimodal AI (Autoregressive models. GANs & Stable diffusion))
Fascinated by Data Science and passionate about it | Explorer | Looking for GEN AI research opportunities
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A Mechanical Engineering student and aspiring AI researcher with expertise in ML predictive modeling, computer vision, NLP, and MLOps. I am exploring multimodal AI (including autoregressive models, GANs, stable diffusion, VAEs, and ViTs), with a primary focus on generative deep learning. Additionally, my research interests include Mathematics and Robotics for interdisciplinary work.
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I am looking to pursue a career in Robotics and AI to continue my research and am exploring potential opportunities.
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I am passionate about learning new things, sharing my knowledge, continually improving myself, experimenting with acquired skills, and challenging my capabilities. I am also building an all-in-one free AI/ML resource collection on my GitHub.
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I am actively seeking research opportunities in theoretical or applied multimodal AI within the generative AI domains.
- Programming: Python (Advanced), C (For Contests).
- Cloud: Azure, AWS
- ML Techniques : EDA, Feature Engineering, Statistics, Machine Learning, Deep Learning (Vision & NLP), Gen AI, MLOps.
- DS & ML Tools (Python) : NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, PySpark, TensorflowKeras, PyTorch, Detectron2, Langchain.
- Web Frameworks: Flask, FastAPI, streamlit, Postman
- MLOps Tools: git, Docker, Kubernetes, Terraform, GitHub Workflows.
- Database Management: AWS S3, Azure Blob, MySQL, MongoDB, Apache Kafka.
- Deployment Platforms: AWS ECR, AWS EC2, Azure Web App, Azure Container Registry
- Product Development, Project Management, Business Development, and Strategic Planning and Analysis.
Python
Azure
AWS
Docker
Flask
FastAPI
Streamlit
scikit-learn
PySpark
TensorFlow
Detectron2 (Computer Vision)
Pandas
NumPy
MySQL