OLFAT HARITS ALATAS

Computer Science Graduate specializing in Deep Learning & Computer Vision

Malang, ID.

About

Highly motivated Computer Science graduate with a 3.63 GPA, specializing in Deep Learning and Computer Vision, with a proven track record in developing high-accuracy, real-time AI systems. Expertly optimizes models for edge devices, achieving significant latency reduction, and proficiently builds end-to-end ML pipelines using Python, FastAPI, and Streamlit, demonstrating strong technical documentation and cross-functional collaboration skills.

Work

Center for Human-Machine Interaction Studies

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Research Assistant

Malang, Indonesia, Indonesia

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Summary

Conducted cutting-edge research to develop assistive AI solutions, enhancing daily communication for the disability community through innovative machine learning applications.

Highlights

Optimized model performance for BISINDO sign language classification on Raspberry Pi 5, achieving a high-efficiency inference rate of 1.757 FPS (0.57 ms latency) through FP16 Quantization via TensorFlow Lite, validated by field testing metrics.

Engineered a Hybrid AI (RF + Transformer) architecture to decouple static and dynamic data processing, significantly boosting BISINDO sign language classification test accuracy to 98.57% and outperforming the LSTM baseline by 4.07% via rigorous benchmarking and real-time validation.

Designed and implemented a robust Computer Vision pipeline utilizing MediaPipe and OpenCV, enabling precise hand gesture feature extraction from visual inputs and optimizing image processing performance on edge devices.

Organizational Experience

Head of Professional Skills Division

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Computer Science Student Association

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Led the Professional Skills Division to enhance student readiness and foster industry connections within the Computer Science Student Association.

Highlights

Enhanced professional readiness for over 150 students by curating and managing industry-aligned mentoring programs, significantly improving career preparedness and skill development.

Optimized resource allocation and ensured high-quality event outcomes by fostering effective stakeholder engagement with internal faculty and external industry leaders, driving successful collaborative initiatives.

Education

Universitas Ma Chung

Malang, Indonesia, Indonesia
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Bachelor of Computer Science Computer Science Grade: 3.63/4.00

Courses

Head of Professional Skills Division Computer Science Student Association 2022 - 2024

Awarded the Adaro Foundation Scholarship (2024-2026) for consistent academic merit and professional potential.

SMK Negeri 4 Malang

Malang, Indonesia, Indonesia
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Senior High School Grade: 90.68/100.00

Languages

English

Proficient

Bahasa Indonesia

Native

Skills

Deep Learning

Computer Vision

AI Systems

Model Optimization

Edge Devices

FP16 Quantization

ML Pipelines

Python

FastAPI

Streamlit

Technical Documentation

Cross-functional Collaboration

TensorFlow Lite

Hybrid AI Architecture

MediaPipe

OpenCV

XGBoost Classifier

Machine Learning Algorithms

Natural Language Processing

Research

Data Processing

Performance Benchmarking

Stakeholder Engagement

Curriculum Curation

Team Management

Strategic Planning

Problem-Solving

Project Management

Communication

Mentoring

Projects

Real-Time BISINDO Sign Language Classification System

UndergraduateThesis

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Summary

A real-time computer vision web application that translates both static and dynamic Indonesian Sign Language (BISINDO) gestures into text.

End-to-End Customer Churn Prediction System

Personal Project

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Summary

Developed a robust end-to-end system for predicting customer churn, integrating an XGBoost classifier, FastAPI backend for scalable model serving, and a Streamlit interface.

Certificates

Information Technology Specialist - Artificial Intelligence

Certiport

TOEIC Listening and Reading Test

ETS