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I’m Abhash Shrestha, a passionate Researcher and Software Engineer based in Kathmandu, Nepal. I completed my MSc in Computer Science at the University of Southampton, where I specialized in Artificial Intelligence (AI) and Data Science.

Over the years, I have worked on cutting-edge projects that span diverse domains, including bias mitigation in AI systems, GDPR compliance research, time series classification optimization, and algorithmic trading. My experience also includes developing and deploying robust software solutions for leading organizations.

• Researcher at CAIR-Nepal: Exploring AI bias and fairness, GDPR tools, and privacy-preserving technologies.
• MSc Dissertation: Optimized the Shapelet Transform Classifier (STC) for time series classification, introducing novel quality measures to enhance speed and accuracy—results validated on 90 datasets.
• Software Development: Proficient in designing and deploying APIs using .NET Core and optimizing database performance for large-scale applications.
• Machine Learning & AI: Hands-on experience with deep learning frameworks like PyTorch, TensorFlow, and Keras for text and image recognition tasks.
• Computational Finance: Implemented ARIMA models, designed trading strategies, and optimized portfolios using advanced statistical and ML techniques.

• Programming: Python, C#, C++, Java
• AI/ML Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn
• Data Analysis: Pandas, NumPy, Matplotlib, Seaborn, SciPy
• Big Data: Spark, Hadoop
• Database Management: PostgreSQL, MySQL, MongoDB
• Software Development: .NET Core, RESTful APIs, Docker
• Other Tools: Git, OpenCV, Hugging Face Transformers

• Bias Mitigation in AI: Investigating fairness in AI systems and exploring ontological approaches to reduce bias.
• Knowledge Graphs: Integrating knowledge graphs with ML pipelines to enhance interpretability and fairness.
• Time Series Classification: Developing efficient algorithms for large-scale time series analysis.
• Privacy and Ethics: Building AI systems compliant with GDPR while ensuring transparency and user data protection.

Thank you for visiting my profile! Let’s collaborate and create impactful solutions together. 🚀