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AI Researcher @ Foundation-AI
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Data Scientist
June 29, 2026 – Present
GPT-OSS-MoE-ExpertFingerprinting
August 12, 2025 – Present
ExpertFingerprinting: Behavioral Pattern Analysis and Specialization Mapping of Experts in GPT-OSS-20B's Mixture-of-Experts Architecture
View ProjectAwesome-AI-For-Security
April 30, 2025 – Present
A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focuses on modern AI technologies like Large Language Models (LLMs), Agents, and Multi-Modal systems and their applications in security operations.
View ProjectAPI-LLM-Hub
September 18, 2024 – September 19, 2024
A static-page vanilla-js interface for various LLM APIs (OpenAI, Claude, Gemini, Together).
View ProjectGeneticPromptLab
June 15, 2024 – June 21, 2024
GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
View ProjectFederated-Recommendation-Neural-Collaborative-Filtering
February 18, 2022 – April 13, 2023
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
View ProjectInterpretability-of-Federated-Learning-for-Fine-grained-Classification-of-Sadness-and-Depression
February 15, 2022 – April 24, 2022
Interpretability-of-Federated-Learning-for-Fine-grained-Classification-of-Sadness-and-Depression — GitHub repository
View Projectrefactored-SOPs
December 28, 2021 – December 28, 2021
List of Statement of Purpose for PhD Applications for ML/AI.
View ProjectDP-HyperparamTuning
July 30, 2021 – September 27, 2021
DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.
View ProjectDeep-Belief-Networks-in-PyTorch
January 7, 2021 – September 22, 2024
The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.
View ProjectFedPAQ-MNIST-implemenation
December 30, 2020 – April 3, 2021
An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in cutting-edge AI/ML research and development, which aligns with an innovative and research-driven culture. However, the projects are predominantly personal and academic, lacking evidence of collaborative or production-oriented work, which might indicate a need for adaptation to a more structured team environment. The single listed professional experience is future-dated, providing no current insight into professional cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, communication, or problem-solving in a team context.