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geometric_deep_learning
September 5, 2025 – December 2, 2025
tutorial on geometric deep learning operations
View Projectomics_logic_genomics_ml_ai
July 11, 2025 – July 11, 2025
capstone project for genomics ai ml course
View ProjectDeepLearningLibrary
July 5, 2025 – July 20, 2025
Implement deep learning libraries from first principles in Cplusplus. Join me in this exciting journey
View ProjectTransformer_code
May 1, 2025 – May 12, 2025
Transformer Model Tutorial in PyTorch: From Theory to Code from a tutorial by Arjun Sarkar
View ProjectStanford2017NLP_lectures
December 29, 2024 – December 29, 2024
implementation of algorithms and code
View ProjectStanford_Deep_Generative_model
September 13, 2024 – October 14, 2024
implementation of the key concepts from the lectures of Stanford CS236: Deep Generative Models 2023 taught by Stefano Ermon
View ProjectMachineLearningForGraphStanford
August 17, 2024 – September 2, 2024
MachineLearningForGraphStanford — GitHub repository
View ProjectMachineLearningAlgorithms
February 23, 2019 – February 25, 2019
Machine learning algorithms implementations using python 2.7
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong self-driven learning approach, which can be a positive cultural fit for roles requiring continuous skill development. The diversity of projects, from core ML algorithms to deep learning libraries in C++, indicates a broad technical curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and team fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.