Saf Hossain

Data Scientist

https://talent.gravityer.com/saf-hossain

Full Stack Developer @ RS Design | Software Engineering Graduate @ Toronto Metropolitan University | AI Solutions Post-Grad @ George Brown

RS Design Construction & Consultancy Inc

Key Strengths

Demonstrated experience with Python and Jupyter Notebook for machine learning projects.
Exposure to various ML applications including email classification, human segmentation, and object detection (YoloV8).
Experience with full-stack development technologies (C++, Python, Vue, JavaScript, TypeScript, HTML, CSS) from personal projects, indicating versatility.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong interest in machine learning and robotics, which aligns with an innovative and problem-solving culture. However, the lack of professional experience beyond a current Data Scientist role with no specified start date (beyond a future date) and skills makes it difficult to fully assess cultural fit. The diversity of projects (ML, robotics, web dev) suggests adaptability.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

SoccerField_OD_YoloV8

April 6, 2026 – Present

Tuning YoloV8 architecture to train on SoccerNet-v3's dataset on annotated soccer game frames and labels to detect key elements on the field (balls, players, referees, field lines, etc.)

View Project

people_data

April 1, 2026 – Present

ML training/testing data set for human-face segmentation

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human_segmentation

March 31, 2026 – Present

human_segmentation — GitHub repository

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streamlit-torch-debug

February 7, 2026 – Present

Testing to see how exactly Streamlit IO needs python dependencies declared to actually work

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email-semantics-classifier

February 6, 2026 – Present

ML Practice

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ml-email-classifier

February 3, 2026 – Present

AASD4011 Math for Deep Learning Project

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Landmine-Detection-Rover

September 17, 2025 – September 17, 2025

Codebase for Landmine Detection Rover module. A mix of frontend, backend, firmware, and container code in addition to schematics and block diagrams

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aasd4000_task2

September 12, 2025 – September 12, 2025

My submission for AASD4000-F2025: Machine Learning I Task #2 - Github | Reviewer: myself from another account.

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Resumate

July 19, 2025 – Present

An AI-powered service that dynamically updates Resumes with relevant skills and phrasing based on given job descriptions and candidate skills.

View Project

RobotControl

September 10, 2024 – April 30, 2025

RobotControl — GitHub repository

View Project

Key Strengths

Demonstrated experience with Python and Jupyter Notebook for machine learning projects.
Exposure to various ML applications including email classification, human segmentation, and object detection (YoloV8).
Experience with full-stack development technologies (C++, Python, Vue, JavaScript, TypeScript, HTML, CSS) from personal projects, indicating versatility.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Saf Hossain

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit