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AI Engineer with less than a year in Generative AI & SDLC Automation
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience designing and building enterprise-grade AI systems, specializing in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), NLP, and Machine Learning. Proven track record of delivering production-oriented AI solutions, including autonomous debugging agents, AI-powered SDLC automation, intelligent testing platforms, and multi-agent verification systems. Demonstrated impact through reducing hallucinations by 59%, automating software testing workflows, and developing AI solutions recognized at Microsoft Imagine Cup and APICTA. Passionate about leveraging AI to simplify complex processes and deliver scalable, real-world solutions that drive meaningful business impact.
BANGKIT ACADEMY
Machine Learning cohort · Machine Learning
February 1, 2024 – July 1, 2024
UNIVERSITAS KOMPUTER INDONESIA
Bachelor of Computer Science · Computer Science
N/A – June 30, 2025
SIMPLIFY CONSULTING INDONESIA
AI Engineer - Contract
December 1, 2025 – Present
Bandung, West Java, Indonesia
UNIKOM CODELABS
Minister of Operational and Data Science - Student Activity
March 1, 2022 – October 1, 2025
Bandung, West Java, Indonesia
SOCIALABS – WEB APP
January 1, 2024 – Present
Building an intelligent chatbot powered by Corrective Retrieval-Augmented Generation (CRAG) to deliver topic-specific insights from social media. Processed 10,000+ social-media text data points end-to-end from data collection, preprocessing, vector search, to model evaluation. Developed a multi-agent verification system to automatically detect hallucinations and inform users about the specific types of hallucinations present in each response. Successfully reduced hallucination rate from 73% to 30%, significantly minimizing misinformation delivered to users. Designed and developed the entire chatbot system by building the backend API, integrating CRAG, and implementing multi-agent evaluation into a unified web application. Awarded as Finalist at APICTA 2024
AGRIMATE - MOBILE APP
July 1, 2023 – Present
Developed and integrated multiple AI models to support farmers in agricultural decision-making. Built a market price prediction model using Multiple Linear Regression with 90.2% accuracy, helping farmers sell their harvest at a more proper price. Developed CNN models for planting recommendations (92.8% accuracy) using soil-type images combined with IoT-based environmental data, and crop disease detection (91.1% accuracy) using plant disease images, while enhancing the system with an LLM to deliver contextual explanations and adaptive, farmer-focused recommendations. Awarded as the finalist at APICTA Hong Kong 2023, Top 20 Semifinalist - International Microsoft Imagine Cup 2024
PEAKY BLINDER – MOBILE APP
June 1, 2023 – Present
Developed a diabetic-retinopathy detection model using Azure Custom Vision trained on fundus eye images, achieving 90.5% accuracy for early-stage screening and cutting diagnosis wait time from 7–10 days to instant results.. Building an intelligent chatbot system that utilizes Retrieval-Augmented Generation (RAG) to answer user questions and provide health insights, particularly regarding diabetic retinopathy. Combined medical image analysis with conversational AI to provide a faster, more accessible, and low-cost screening workflow, reducing conventional examination costs by up to 50%. Achieved 1st runner-up and Audience Award at COMPFEST 15, and became a finalist at GEMASTIK 17.
AWS Certified AI Practitioner
AWS
January 1, 2023 – January 1, 2026
AI+ Foundation™, AI CERTSTM
Unknown
January 1, 2022 – January 1, 2025
Associate Data Scientist
BNSP Indonesia
January 1, 2022 – January 1, 2025
Specializing in Machine Learning
Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka
January 1, 2021 – January 1, 2024
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through their diverse project portfolio, which includes academic and contract work across various domains (healthcare, social media, agriculture, SDLC automation). Their participation in national and international competitions, along with leadership roles in student activities, indicates a proactive, collaborative, and achievement-oriented mindset. The breadth of skills and technologies used across projects suggests adaptability and a continuous learning attitude, which are valuable for cultural fit in an innovative AI engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in reducing hallucination rates and automating complex processes. Their experience as 'Minister of Operational and Data Science' at UNIKOM CODELABS suggests leadership, organizational, and teamwork abilities. The descriptions of collaborating with cross-functional teams further support their operational fit and ability to work effectively in a team-oriented environment.