{ "identity": { "name": "Rivaldo Fauzan Robani", "alias": "rvldfr", "site_url": "https://rvldfr.tech/", "monogram": "RF", "headline": "AI/ML Engineer", "location": "Indonesia", "tagline": "I build production AI systems — LLMs, RAG, and multimodal pipelines that actually ship.", "email": "rivaldofr03@gmail.com", "cv_file": "CV ATS_Rivaldo Fauzan Robani.pdf", "links": [ { "kind": "github", "label": "GitHub", "url": "https://github.com/rivaldofauzan" }, { "kind": "linkedin", "label": "LinkedIn", "url": "https://www.linkedin.com/in/rvldfr" }, { "kind": "site", "label": "rvldfr.tech", "url": "https://rvldfr.tech" } ] }, "summary": "AI/ML Engineer with experience designing, developing, and deploying production-ready AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multimodal AI, and machine learning. Experienced in building scalable AI services, fine-tuning transformer models using PEFT (LoRA and DoRA), and integrating NLP, computer vision, OCR, and speech technologies into production systems. Passionate about transforming cutting-edge AI research into reliable, scalable AI products through efficient inference, modern AI infrastructure, and backend engineering. Recognized with a Kaggle Silver Medal (Top 1.6%) in the AI Mathematical Olympiad and a national research grant for applied LLM research.", "stats": [ { "value": 1.6, "decimals": 1, "prefix": "top ", "suffix": "%", "label": "AI Mathematical Olympiad — Kaggle Silver Medal", "url": "https://www.kaggle.com/certification/competitions/rvldfr/ai-mathematical-olympiad-progress-prize-3" }, { "value": 64, "prefix": "#", "suffix": "", "label": "world rank, of 4,138 competing teams", "url": "https://www.kaggle.com/certification/competitions/rvldfr/ai-mathematical-olympiad-progress-prize-3" }, { "value": 5, "suffix": "", "label": "national & international distinctions" }, { "value": 0, "suffix": "+", "label": "technologies across the stack", "computed": "skills_count" } ], "experience": [ { "company": "Epic Medical", "url": "https://www.epic-med.com/", "role": "AI/ML Developer", "start": "2025-09", "end": null, "highlights": [ "Designed and deployed production-ready AI applications powered by LLMs, embeddings, and generative AI for healthcare.", "Engineered machine learning pipelines for OCR, image classification, and object detection using PyTorch, OpenCV, and PaddleOCR.", "Implemented RAG pipelines with LoRA fine-tuned models and Qdrant vector databases for semantic retrieval.", "Engineered multimodal pipelines integrating OCR, speech recognition, image understanding, text summarization, and avatar video generation.", "Architected scalable FastAPI REST APIs and webhook services; optimized and maintained AI services on AWS." ] }, { "company": "PT Neural Technologies Indonesia", "url": "https://nti.co.id/", "role": "Data Scientist (Intern)", "start": "2024-06", "end": "2024-10", "highlights": [ "Designed and developed NISA, an NLP-powered chatbot for Telkomsel using LangChain, LLaMA, Ollama, and Rasa — context-aware analysis of network KPIs in natural language.", "Built AI-driven analytics with Prophet time-series forecasting and Streamlit dashboards for proactive network capacity planning." ] } ], "projects": [ { "name": "LoRA vs DoRA", "subtitle": "Bachelor's final project — Politeknik Negeri Bandung", "period": "Jan – Jul 2025", "description": "Comparative evaluation of PEFT methods on LLaMA models for subjective NLP tasks, across adapter ranks on the Chatbot Arena dataset. DoRA won on accuracy and human-preference alignment; LoRA on speed and memory — a practical map for resource-constrained fine-tuning.", "tech": ["LLaMA", "PEFT", "LoRA", "DoRA"], "featured_rank": 1 }, { "name": "AIMO Reasoning Pipeline", "url": "https://www.kaggle.com/certification/competitions/rvldfr/ai-mathematical-olympiad-progress-prize-3", "subtitle": "Kaggle — AI Mathematical Olympiad, Progress Prize 3 · Silver Medal", "period": "Apr 2026", "description": "LLM reasoning pipelines combining prompt engineering, test-time reasoning, answer verification, and efficient inference — solving Olympiad-level math with open-source models under strict compute constraints. Top 1.6% worldwide (64th of 4,138 teams).", "tech": ["LLM reasoning", "Inference optimization", "vLLM-class serving"], "featured_rank": 2 }, { "name": "Interpretable Medical LLM Diagnosis", "url": "https://drive.google.com/file/d/1IjVODVNeju-kVOA9Hgzjd73D_UJll05h/view?usp=sharing", "subtitle": "PKM-AI national research grant — Kemdiktisaintek", "period": "Jul 2025", "description": "Grant-funded research on improving the interpretability and efficiency of LLMs for automated medical diagnosis — toward transparent, reliable medical AI systems.", "tech": ["LLMs", "Interpretability", "Healthcare AI"] }, { "name": "NISA — Network KPI Chatbot", "subtitle": "Built for Telkomsel at PT Neural Technologies Indonesia", "period": "2024", "description": "NLP-powered chatbot enabling context-aware analysis of network KPIs through natural-language interaction, paired with Prophet forecasting dashboards.", "tech": ["LangChain", "LLaMA", "Ollama", "Rasa"] }, { "name": "Towards Security — OTP MFA × FDS", "subtitle": "Finalist, National Data Science Tournament — Cybertrend", "period": "Dec 2023", "description": "WhatsApp OTP multi-factor authentication integrated with an AI-based fraud detection system — data security, model integration, and digital risk prevention.", "tech": ["Fraud detection", "MFA", "Data science"] }, { "name": "Nialonic-GC", "url": "https://www.polban.ac.id/borong-prestasi-polban-juara-di-kmipn-v-2023/", "subtitle": "Best Idea (IoT) — KMIPN V national competition", "period": "Aug 2023", "description": "AI-driven climate engineering for hydroponic–aeroponic plant growth using IoT automation — awarded for originality, technical execution, and societal impact.", "tech": ["IoT", "AI control", "Sustainable agriculture"] } ], "skills": [ { "category": "Languages", "items": ["Python", "JavaScript", "SQL", "PHP", "C"] }, { "category": "Machine Learning", "items": ["PyTorch", "TensorFlow", "scikit-learn"] }, { "category": "Large Language Models", "items": ["RAG", "Prompt Engineering", "PEFT · LoRA · DoRA", "Embeddings", "Semantic Search", "Vector Databases", "Conversational AI"] }, { "category": "Vision & Speech", "items": ["OpenCV", "MediaPipe", "YOLO", "Whisper", "Google TTS", "PaddleOCR"] }, { "category": "Web & APIs", "items": ["FastAPI", "Flask", "ExpressJS", "ReactJS", "Vue.js", "Laravel", "Spring Boot"] }, { "category": "Databases", "items": ["MySQL", "PostgreSQL", "MongoDB", "Qdrant"] }, { "category": "DevOps & Cloud", "items": ["Docker", "AWS — Lambda · S3 · EC2", "Git", "REST API design"] }, { "category": "Data Science", "items": ["Time-Series Forecasting", "Predictive Modeling", "Feature Engineering", "Clustering", "Data Visualization"] } ], "education": [ { "school": "Politeknik Negeri Bandung", "degree": "Bachelor of Applied Science in Informatics Engineering", "start": "2021-08", "end": "2025-08", "notes": "Machine Learning · Data Science · Software Engineering · Algorithms · Database Systems · Computer Networks · Enterprise Application Development" }, { "school": "SMK Negeri 11 Bandung", "degree": "Software Engineering", "start": "2018-07", "end": "2021-06", "notes": "PHP · Laravel · CodeIgniter · Database Systems · SDLC" } ], "recognition": [ { "kind": "medal", "title": "Silver Medal — AI Mathematical Olympiad: Progress Prize 3", "org": "Kaggle", "url": "https://www.kaggle.com/certification/competitions/rvldfr/ai-mathematical-olympiad-progress-prize-3", "date": "Apr 2026", "detail": "Top 1.6% worldwide — 64th of 4,138 teams. LLM reasoning, competitive AI, and inference optimization under strict compute constraints." }, { "kind": "grant", "title": "PKM-AI National Research Grant — Incentive Scheme", "org": "Kemdiktisaintek (Ministry of Higher Education, Science & Technology)", "url": "https://drive.google.com/file/d/1IjVODVNeju-kVOA9Hgzjd73D_UJll05h/view?usp=sharing", "date": "Jul 2025", "detail": "For “Improving the Interpretability and Efficiency of Large Language Models for Automated Medical Diagnosis.”" }, { "kind": "finalist", "title": "Finalist — National Data Science Tournament", "org": "Cybertrend Data Academy", "date": "Dec 2023", "detail": "Among the top-performing data science teams in Indonesia with an MFA × fraud-detection integration." }, { "kind": "award", "title": "Best Idea — Internet of Things category", "org": "KMIPN V — National Polytechnic Informatics Student Competition", "url": "https://www.polban.ac.id/borong-prestasi-polban-juara-di-kmipn-v-2023/", "date": "Aug 2023", "detail": "For Nialonic-GC, an AI-driven climate engineering system for hydroponic–aeroponic growth." }, { "kind": "certificate", "title": "AI Upskilling Program", "org": "Remote Skills Academy — AVPN · Google.org · ADB", "date": "Jun 2025 – Nov 2026", "detail": "Part of AI Opportunity Funding: Asia Pacific." } ], "leadership": [ { "org": "Badan Eksekutif Mahasiswa, Politeknik Negeri Bandung", "roles": [ { "title": "Staff — Cabinet Resource Management Specialized Agency", "period": "Apr 2023 – Jan 2024" }, { "title": "Staff — Communication & Information Dept., DKV Division", "period": "Mar 2022 – Feb 2023" } ]}, { "org": "Himpunan Mahasiswa Komputer (HIMAKOM)", "roles": [ { "title": "Deputy Head — Organization Resource Management Specialized Agency", "period": "May 2023 – Dec 2023" }, { "title": "Staff — Dept. of Research, Technology & Higher Education", "period": "Apr 2022 – Mar 2023" } ]} ] }