Iβm 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
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05:58
(UTC -12:00) - in/ridoy-adhikary
- ridoy.kumar.adhikary
- @Ridoy_127
- its_ur_redox
Highlights
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AFLoc_R
AFLoc_R PublicQuantifying prompt sensitivity in annotation-free medical image localization.
Jupyter Notebook
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OCT-Classification
OCT-Classification PublicDeep learning-based retinal OCT image classification using MobileNetV3Large, Focal Loss, and data augmentation to address class imbalance.
Jupyter Notebook
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scui-bigdata-03-YelpAnalysis
scui-bigdata-03-YelpAnalysis PublicForked 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,β¦
Python
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BusinessOsAI
BusinessOsAI PublicAll-in-one multi-tenant business OS for Bangladesh - POS, inventory, orders, payments, courier, finance, marketing & AI in one core.
TypeScript
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Pope_scoring_sensitivity
Pope_scoring_sensitivity PublicA 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 frβ¦
Python
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