Open Source Lead @roboflow | Founder @ makesense.ai
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roboflow
Data Scientist
June 23, 2026 – Present
sam3
July 17, 2025 – Present
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
View Projecttrackers
April 14, 2025 – Present
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
View Projectrf-detr
March 19, 2025 – Present
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
View Projectmaestro
November 24, 2023 – Present
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
View Projectcourses
April 2, 2023 – April 22, 2024
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
View ProjectGroundingDINO
March 9, 2023 – August 12, 2024
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
View Projectnotebooks
November 18, 2022 – Present
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
View Projectmake-sense
June 14, 2019 – August 15, 2024
Free to use online tool for labelling photos. https://makesense.ai
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on computer vision and deep learning, which aligns well with a Data Scientist role, especially in an AI-centric company. The candidate has a strong inclination towards open-source contributions and sharing knowledge (tutorials, courses). However, the projects are exclusively personal, and there is only one listed professional experience, which is current and very recent, making it difficult to assess long-term cultural fit or collaboration experience in a team setting beyond personal initiatives.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.