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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
fl-gat-ipfs-xai-with-simulation
April 10, 2026 – Present
We evaluate robustness against adversarial and poisoning attacks in federated settings.
View ProjectAudio-Visual-Emotion-Recognition-using-Feature-Concatenation-Fusion
March 9, 2026 – Present
Audio-Visual-Emotion-Recognition-using-Feature-Concatenation-Fusion — GitHub repository
View ProjectDomain-Specific-Knowledge-Assistant-
March 9, 2026 – Present
Domain-Specific Knowledge Assistant (RAG + QLoRA)
View Projectforgery-feature-fusion-federated-learning
March 2, 2026 – Present
The system trains a single universal forgery detector collaboratively using 4 decentralized clients without sharing raw images. The system collaboratively learns a universal facial forgery detector by combining local hybrid feature learning with server-side fusion aggregation across heterogeneous domains.
View ProjectFederated-Learning-for-DDOS-Attack
September 6, 2025 – September 10, 2025
This project uses Federated Learning to build a collaborative DDoS detection system. Participants train Random Forest models on private data, and updates are secured with SMPC. The system detects and blocks threats in real-time via a two-panel UI, enhancing security without compromising data privacy.
View ProjectPLANT-VILLAGE-IMAGE-CLASSIFICATION
August 24, 2025 – August 24, 2025
PLANT-VILLAGE IMAGE CLASSIFICATION
View ProjectMachine_Learning
February 5, 2024 – February 7, 2024
Machine Learning Algorithms Learning
View Projecttodoey-AnTaskManagementApplication
May 4, 2020 – May 4, 2020
todoey-AnTaskManagementApplication — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal, research-oriented projects in machine learning and data science, which aligns with a data scientist role. The diversity of ML applications (computer vision, NLP, security) suggests a broad interest in the field. However, the lack of team projects or professional experience makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.