I build scalable, reliable backend systems — APIs, distributed services, and data pipelines — with a focus on performance, resilience, and clean architecture. Lately, I’ve been expanding into applied Machine Learning: model training, evaluation, and production serving with solid MLOps practices.
Highlights
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invest-ai
invest-ai PublicA production-ready backend service that provides ChatGPT-like investment research capabilities using natural language processing, real-time market data, and AI-powered analysis.
Python
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learning-git-and-github
learning-git-and-github PublicThis repository contains comprehensive learning resources for Git and GitHub essentials, covering everything you need to know for effective version control and collaboration.
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face-Recognition-Attendance-master
face-Recognition-Attendance-master PublicWe have developed a real-time face recognition and attendance system using Python and various libraries such as OpenCV, Face_recognition, and NumPy
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project-SciDataPipeline
project-SciDataPipeline PublicA comprehensive toolkit for processing, simulating, and analyzing scientific data, integrating Python, Fortran, and Jupyter notebooks for seamless workflows.
Python
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hacktoberfest-playground
hacktoberfest-playground PublicThis repository is for anyone who is new to open source and coding. Everyone is welcome to contribute, whether in coding or non-coding areas. Your pull request will be accepted if it follows the co…
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wine_quality_prediction
wine_quality_prediction PublicThe Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.
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