Rendika Nurhartanto Suharto
AI Engineer & Data Scientist
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I design and build end-to-end intelligent systems that connect data, machine learning, deployment, and automation—turning complex workflows and experiments into scalable, reliable products for real-world use.
Focused on AI Engineering, Data Science, MLOps, and Software Automation.
Primary portfolio questions are available.
01 / Profile
Rendika N. SuhartoI build end-to-end systems that connect data, machine learning, deployment, and automation. My work spans predictive analytics, computer vision, recommender systems, dashboards, APIs, data pipelines, and production-oriented ML workflows.
My focus is turning complex problems into reliable, scalable solutions that support real-world decisions and operations.
From problem discovery to production automation, I build systems that deliver measurable real-world value.
02 / WHAT I BUILD
Building production-ready machine learning systems—from experimentation and model development to deployment, monitoring, and continuous improvement.
Turning complex data into clear insights, reliable forecasts, and decision-ready intelligence for business and operational use.
Developing practical applications and automated workflows that connect data, AI, APIs, and business processes into reliable, usable systems.
01.5 / Tech Stack
02 / Journey
Selected as a Data Science Instructor for a national technology programme serving approximately 3,000 participants. Delivered instructor-led sessions covering Python, supervised and unsupervised learning, data processing, and applied data analysis projects.
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National Data Science instruction and learner mentoring
Delivered end-to-end data solutions for supply chain, inventory, and operational analytics. Developed forecasting models, predictive engines, market intelligence analytics, and practical data tools for logistics and spare-part planning.
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Forecasting and operational analytics work
Completed an intensive AI Engineering programme with Distinction, covering machine learning, deep learning, applied AI, MLOps, and deployment. Led the NextCourses recommendation-system capstone and contributed as a peer tutor.
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Distinction programme and NextCourses capstone
Evaluated 26 teams involving approximately 120 participants under the theme “Machine Learning for Social Good.” Reviewed technical notebooks and reports, shortlisted five finalists, and conducted final judging through presentations and live Q&A.
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Technical review and final-stage adjudication
Led a seven-member team working on CRM optimisation, web scraping, data cleaning, company analysis, and insight visualisation. Built datasets from job and company sources and supported partner-company prioritisation.
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Team leadership, CRM analysis, and data collection
Delivered custom data science and analytics projects involving NLP, clustering, statistical analysis, association-rule mining, and business-focused insight generation.
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Selected analytics, NLP, and clustering engagements
Completed an intensive Data Science programme with an average score of 97.27, covering machine learning, deep learning, computer vision, NLP, big data, dashboard development, and model deployment.
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Data Science programme, certifications, and capstone
Completed more than 14 analytics, reporting, and visualisation projects for educational and training programmes. Built interactive dashboards and automated spreadsheets that improved reporting efficiency.
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Dashboards, reporting, and spreadsheet automation
Supported Data Wrangling and Algorithm & Programming courses. Assisted with Python instruction, scraping, APIs, data cleaning, visualisation, assignment grading, laboratory sessions, and student consultation.
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Python instruction and data-wrangling laboratory support
03 / SELECTED WORK
A curated selection of AI systems, data products, MLOps pipelines, and automation tools built for real-world use.
A dual-verification computer-vision workflow for faster, traceable campus access.
Manual security checkpoints require repeated identity checks and create slow, error-prone visitor records.
Built a two-stage verification pipeline with ArcFace for face embeddings and YOLOv11 plus EasyOCR for licence plates, connected to MySQL for visitor logging.
My role
Lead Developer - Undergraduate Thesis
Core stack
A public-health data product combining forecasting, spatial analysis, and guided data exploration.
Public-health indicators, capacity projections, and regional comparisons are difficult to explore through disconnected datasets.
Combined ETS and SARIMA forecasting, GeoPandas spatial analysis, Plotly drill-downs, and an Open Data assistant in one public-facing dashboard.
My role
Full-Stack Data Scientist
Core stack
An automated internship-monitoring product that turns recurring web data into a searchable API and comparison workflow.
Internship listings change frequently, while manual tracking makes comparison and opportunity monitoring repetitive.
Built a Playwright and BeautifulSoup collection pipeline, PostgreSQL-backed API, server-side filters, and scheduled six-hour updates.
My role
Backend Developer
Core stack
Supporting projects
Four focused builds selected for their technical range and practical delivery.
A hybrid course recommender combining collaborative and content-based discovery.
A production-oriented experiment-tracking, CI/CD, container, and monitoring workflow.
An imbalanced Indonesian tweet-classification pipeline for a national data-science competition.
A computer-vision capstone for prototype plant-health screening.
04 / Recognition
A selection of milestones recognising academic excellence, technical achievement, research, and real-world impact.
Student Achievement Category
Telkom University Surabaya
Recognised as the 2nd Outstanding Graduate in the Student Achievement category for a record combining academic excellence, leadership, research, innovation, and national-level achievements.
Recognition highlights
Laskar AI 2025
Lintasarta × Dicoding × NVIDIA
Completed the intensive Laskar AI programme with Distinction after studying Machine Learning, Deep Learning, MLOps, deployment, and applied AI engineering.
Recognition highlights
ICONIC-IT 2024
Universitas Siliwangi
Won second place in a national Data Science competition by designing a machine-learning solution for personalising user profiles based on online-learning activities.
Recognition highlights
Program Kreativitas Mahasiswa — Riset Eksakta
Kemdikbudristek
Received national research funding for an in-silico machine-learning project identifying Indonesian herbal compounds as potential candidates for Alzheimer’s treatment.
Recognition highlights
Work in Tech 2023
Plan Indonesia
Won third place with STUNTRACK, an AI-based application concept for early detection and monitoring of stunting in children.
Recognition highlights
GELAR RASA 2022
UPN “Veteran” East Java
Received the Best Final Project award for a business data analytics project focused on company sales, marketing budgets, and Customer 360° analysis.
Recognition highlights
Gamma Sigma Beta Competition 2022
IPB University
Won third place in a Big Data Analytics competition by developing a machine-learning model to predict health-insurance customer interest in vehicle insurance.
Recognition highlights
05 / Education
A concise overview of my formal education, intensive programmes, and industry-recognised credentials.
Bachelor of Data Science
Lintasarta × Dicoding
AI Engineering
Machine Learning Developer · Beginner to Expert
MSIB Batch 6
Data Science Independent Study
07 / Connection
Have a project, data challenge, or workflow in mind?
Let’s build a reliable solution across AI, data, machine learning, and automation.