🔬 Data Scientist | Computational Physicist
📍 Baltimore, MD | 📧 [email protected] | 
I'm a results-driven Data Scientist with a PhD in Computational Condensed Matter Physics and over a decade of research experience. My expertise spans advanced mathematical modeling, high-performance computing (HPC), and AI techniques, with a proven track record of applying these skills to solve complex problems in diverse domains, including materials science, fashion, and finance.
- Developing AI-driven solutions for image processing and predictive modeling.
- Exploring advanced techniques in generative AI and machine learning optimization.
- Building scalable machine learning models to solve real-world problems.
- Advanced computer vision techniques and generative AI frameworks like Diffusers and PyTorch.
- Cloud computing for machine learning workflows, particularly on AWS.
- Techniques to enhance model interpretability and explainability.
Jan 2024 - Apr 2024
- Created an AI framework to automate hair color touch-ups in fashion images using Diffusers/PyTorch, significantly reducing manual editing time by more than 50%.
- Collaborated within a global Agile team using daily scrums and weekly demos.
May 2021 - Sep 2023
- Developed simulation software (C++, Python, Bash) to study atomic-level material behavior, reducing computational costs by 33%.
- Built HPC-deployable models, widely adopted by researchers for material simulations.
Aug 2013 - Apr 2021
- Designed and implemented simulation codes in C++ and Python across multiple research projects.
- Conducted data analysis and visualization using Python, R, and MATLAB for impactful research presentations.
- Languages: Python, C++, R, SQL, MATLAB, Fortran, Shell Scripting
- Libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Matplotlib
- Tools: AWS, Docker, Git, JupyterLab, Linux/Unix
- Predictive Modeling, Decision Trees, Random Forests, Clustering, NLP, Computer Vision, Generative AI
- AI/ML applications in computational physics and data science.
- Developing scalable solutions using HPC and cloud platforms.
- Effective visualization and communication of scientific data.
- Cutting-edge projects involving generative AI, NLP, or computer vision.
- Interdisciplinary research combining AI and physics.
- Open-source projects that solve real-world challenges.
When I’m not coding or researching, I enjoy staying up to date with the latest developments in AI and physics.
- Email: [email protected]
- LinkedIn: Khagendra Adhikari
- GitHub: khagenA
Let's collaborate to transform innovative ideas into impactful solutions!