Ml/AI Engineer. I build AI solutions to enhance user experiences and processes.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QUFIK_TUNGA
November 10, 2023 – November 19, 2023
D.A.R.T.H is a powerful streamlit application designed to assist developers in enhancing their coding experience. With a focus on providing valuable resources and aiding in various aspects of coding, D.A.R.T.H offers four key functions to make developers' lives easier.
View ProjectML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
October 23, 2023 – December 2, 2023
Amazon SageMaker-based workflow for Scones Unlimited, featuring an image classification model to distinguish bicycles from motorcycles. The project covers data staging, model training, Lambda functions, and AWS Step Functions for orchestration. Follow the provided notebook for a complete guide on setup, execution in an AWS SageMaker Environment.
View ProjectHandwritten-Digits-Classifier-with-PyTorch
July 3, 2023 – July 11, 2023
Handwritten-Digits-Classifier-with-PyTorch — repository
View ProjectPredict-Bike-Sharing-Demand-with-AutoGluon
May 30, 2023 – June 6, 2023
Predict-Bike-Sharing-Demand-with-AutoGluon — repository
View ProjectFlower-Species-Image-Classifier
March 5, 2023 – March 5, 2023
Flower-Species-Image-Classifier — repository
View ProjectImage-Classifier-to-Identify-Dog-Breeds
August 27, 2022 – March 8, 2023
First AI programming with Python project
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic in nature, focusing on foundational AI/ML tasks. While demonstrating initiative, there is limited evidence of experience in collaborative team environments, diverse project types beyond personal ML experiments, or contributions to larger systems, which might impact cultural fit in a fast-paced, product-oriented team. The breadth of skills is concentrated in Python and ML frameworks, with some web development exposure, but lacks diversity in system design, data engineering, or MLOps practices often expected for a senior Data Scientist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.