
ML / Research Engineer. Primarily interested in self-supervised and representation learning.
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simple-ijepa
August 11, 2024 – August 16, 2024
A simple and efficient implementation of Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (I-JEPA)
View Projectcontrastive-neighbor-embedding
May 13, 2024 – May 14, 2024
Non-linear dimensionality reduction using contrastive neighbor embeddings.
View Projectsigmoid-contrastive-loss
April 6, 2024 – July 8, 2024
Implementation of modulated sigmoid pairwise contrastive loss for self-supervised learning on images
View Projectmatryoshka-representation-learning
February 6, 2024 – February 7, 2024
A simple implementation of Matryoshka Representation Learning for contrastive self-supervised learning
View Projectsimple-clip
November 14, 2023 – February 14, 2024
A minimal, but effective implementation of CLIP (Contrastive Language-Image Pretraining) in PyTorch
View Projectrelic
October 16, 2023 – April 7, 2024
A simple PyTorch implementation of the Representation Learning via Invariant Causal Mechanisms self-supervised contrastive learning paper
View Projectsimple-object-detection
November 15, 2022 – October 30, 2023
A simple yet effective repo for object detection based on the FCOS architecture.
View Projectsimple-diffusion
October 20, 2022 – December 5, 2025
A minimal implementation of a denoising diffusion model in PyTorch.
View Projectsimple-convnext
October 19, 2022 – October 21, 2022
Simple implementation of the ConvNext architecture in PyTorch
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on research-oriented deep learning implementations. While demonstrating strong technical curiosity and initiative, there is no evidence of collaborative work, team projects, or experience in a production environment. This might indicate a potential gap in cultural fit for roles requiring significant team interaction or deployment experience. The projects are highly aligned with a research-focused Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.