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ridoy-adhikary/README.md

Hello,

I’m Ridoy Kumar Adhikary, a Software Engineering student at Sichuan University with a focus on Machine Learning, Artificial Intelligence, backend engineering, and data systems. My journey has grown from full-stack software development into large-scale data processing and AI/ML research, with a goal of bridging academic research and practical AI engineering.

What I Do -

Β· Machine Learning & AI β€” Exploring ML, Deep Learning, Computer Vision, and AI applications.
Β· AI Research β€” Working on model optimization, explainable AI, multi-label learning, and uncertainty estimation.
Β· Computer Vision β€” Developing deep learning solutions for image-based problems, including medical imaging.
Β· Data & Big Data β€” Building data pipelines and working with Spark, Kafka, Hadoop, Hive, and large-scale datasets.
Β· Backend Engineering β€” Developing APIs, data systems, and scalable backend services with Python and Node.js.
Β· Full-Stack Development β€” Building practical web applications using React, Node.js, Express, and modern databases.
Β· AI Engineering β€” Exploring how research models can be integrated into reliable, scalable, real-world software systems.

Skills & Tools

Programing Languages: Python Β· C/C++ Β· Java Β· JavaScript Β· SQL
AI/ML: Machine Learning Β· Deep Learning Β· Computer Vision Β· TensorFlow Β· Keras Β· Scikit-learn Β· XAI
Data & Big Data: Apache Spark Β· Kafka Β· Hadoop Β· Hive Β· PostgreSQL Β· MongoDB Β· ETL
Backend & Web: React Β· Node.js Β· Express.js Β· FastAPI Β· REST APIs Β· JWT
Tools & Systems: Git Β· Linux Β· Docker Β· Data Pipelines Β· Distributed Systems

🌐 Socials:

Facebook Instagram LinkedIn X email

πŸ’» Tech Stack:

C C# C++ GraphQL HTML5 Java JavaScript LaTeX Markdown Python TypeScript Windows Terminal Alibaba Cloud AWS Azure Firebase Google Cloud Vercel Render Angular Angular.js Apache Spark Apache Kafka Bootstrap Apache Hive Apache Hadoop Chart.js nVIDIA Django FastAPI Express.js Flask JWT Next JS NodeJS NestJS Nodemon OpenCV React Streamlit Socket.io SASS TailwindCSS Three js Vue.js Apache Nginx Firebase Postgres MySQL MongoDB Redis SQLite Supabase Prisma Canva Figma Matplotlib mlflow NumPy Pandas PyTorch scikit-learn TensorFlow Jira Notion

πŸ“Š GitHub Stats:



πŸ” Top Contributed Repo


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  1. AFLoc_R AFLoc_R Public

    Quantifying prompt sensitivity in annotation-free medical image localization.

    Jupyter Notebook

  2. OCT-Classification OCT-Classification Public

    Deep learning-based retinal OCT image classification using MobileNetV3Large, Focal Loss, and data augmentation to address class imbalance.

    Jupyter Notebook

  3. scui-bigdata-03-YelpAnalysis scui-bigdata-03-YelpAnalysis Public

    Forked from iftekharalamfahim/scui-bigdata-03-YelpAnalysis

    A large-scale data analysis project built on Apache Hadoop and Apache Spark, analyzing 7M+ Yelp reviews, 150K businesses, and 2M users. Covers business intelligence, user behavior, rating patterns,…

    Python

  4. BusinessOsAI BusinessOsAI Public

    All-in-one multi-tenant business OS for Bangladesh - POS, inventory, orders, payments, courier, finance, marketing & AI in one core.

    TypeScript

  5. Pope_scoring_sensitivity Pope_scoring_sensitivity Public

    A controlled evaluation audit of the POPE benchmark. We prove that prompt templates and answer-extraction rules cause an 86-point F1 swing (0.000 to 0.868) even when model outputs are completely fr…

    Python