Imam H.

Key Skills

Software

Other

Top Subject Matter

Computer Vision

Dataset Structuring

Model Evaluation

Top Data Types

Image

Top Task Types

Bounding Box

Classification

Object Detection

Freelancer Overview

Research Intern / Junior Contributor (Research Team) — Activity Monitoring using federated learning and real-time camera. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Global Consumer Intelligence (GCI) World Data Science Program, University of Tokyo (2026) and IBM AI Engineering Professional Certificate, Coursera (2026). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

Research Intern / Junior Contributor (Research Team) — Activity Monitoring using federated learning and real-time cameras

OtherImageBounding Box

Contributed to dataset structuring and model evaluation activities that include precise bounding box annotation for object detection use cases. Reviewed model outputs for accuracy, bias, and performance metrics as part of the research workflow. Produced technical documentation to support dataset and evaluation processes. • Focused on activity monitoring with federated learning and real-time cameras • Performed systematic literature review to inform dataset design and evaluation • Analyzed model predictions for quality and metric-based performance • Drafted technical documentation for ongoing research iterations

2026 - Present

Campus Ambassador (TCL Global) — AI-related evaluation and documentation responsibilities

Other

Engaged in algorithmic QA and evaluation-oriented work associated with AI code generation assessment. Supported technical problem-solving through structured review of outputs and reasoning quality. Applied technical writing practices to document findings and improve iterative quality. • Performed evaluation of AI-generated code and solutions • Applied algorithmic QA to validate correctness and logic • Documented technical insights through writing • Used structured workflows for iterative improvement

2025 - Present

AI/ML Project Developer - Independent Projects

ImageBounding BoxClassification

You develop independent AI/ML and computer vision projects that apply modern modeling and evaluation techniques. You design and evaluate YOLO-based pipelines for real-time object detection with correct bounding box conceptualization and image annotation logic. You also implement tabular learning with gradient boosting and design low-level algorithms in assembly for robust problem solving. • Build and evaluate YOLO object detection pipelines • Implement CatBoost models for classification and prediction • Engineer low-level algorithm solutions in 8086 assembly • Apply strong testing, system thinking, and evaluation rigor

2024 - Present

Education

Work History