
π¨βπ»π Full Stack Developer | ππ¬ Data Scientist | π NUST'23 π
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MultiAgents_Task
October 19, 2025 β October 19, 2025
This project implements a small-scale agent-based system that automatically generates reports from user queries and outputs them as well-formatted PDFs. It leverages the LangGraph framework to manage agent workflows and uses a language model via the Groq API for content generation.
View ProjectNeural_Cellular_Automata
August 17, 2025 β August 17, 2025
In this work, we employ neural cellular automata (NCA) to classify histopathological images of colorectal cancer patients. Our NCA classifier not only exceeds all benchmarks(CNN based models) reported in the original MedMNIST paper [2] but also outperforms the CNN model and matches the performance of the best model from the MedMNIST v2 paper.
View ProjectBleeding-Detecting-on-Capsule-Endoscopy
December 2, 2024 β August 11, 2025
Binary Classifier to detect bleeding in caplse endoscopy images.
View ProjectJava_players_communication
May 28, 2024 β May 28, 2024
Java_players_communication β repository
View ProjectMERN-TODO
September 24, 2023 β September 24, 2023
The Simple MERN Todo App is a basic web application built for practice and learning purposes
View ProjectCrop_Prediction
June 28, 2023 β October 9, 2025
This project aims to analyze and provide insights into agriculture production using data science techniques. The dataset used for this project is obtained from the Agriculture Production dataset.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse interest in various technical areas beyond the target role (e.g., Java, MERN stack), which could indicate adaptability but also a lack of focused specialization. The personal nature of all projects suggests self-motivation and initiative. However, the absence of team projects or professional experience makes it difficult to assess collaboration or cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.