Engineering products that scale.
As an engineering Tech Lead and Computer Science graduate with a 4.00 GPA, I drive technical strategy, infrastructure architecture, and high-performing team leadership. Leveraging a modern full-stack ecosystem powered by Hono, Bun, React, and Docker, I transform complex product visions into scalable, resilient digital solutions. Currently, I lead engineering and corporate AI enablement at Jangkar Arunika Luminara, building AI products end to end.
Work that shipped.
MengAI - Autonomous AI Cat Company
AI
MengAI is an autonomous AI agent company where every agent is a living cat. Give the crew a goal: Oyen, the ginger CEO cat, plans the work, hires the roles it needs, holds meetings, approves requests and ships. Every cat has its own desk, walks the office, reviews the others and learns from every run. You watch every step live, see what is in each cat's head, and follow the work on a delivery style tracker from goal to shipped.
https://github.com/Adefebrian/MengAITJSL Krakatau Steel
Finance
TJSL Online is an accounting and loan-management platform for a state-owned enterprise's community development fund. It covers micro-business lending from proposal and approval through disbursement, installments, double-entry journals, monthly closing and more than 30 financial reports. It runs on Bun, Hono, React, PostgreSQL and Redis, with maker-checker approvals across branches and a portal for borrowers. Accounting rules are enforced in the database, and the codebase has more than 2,600 automated tests.
https://github.com/Adefebrian/krakatausteelUnspoken
Health
Unspoken is a safe and completely anonymous web app designed for everything you never got to say, providing a quiet space to write down long-overdue apologies, lingering goodbyes, and hidden feelings you kept quiet out of fear of judgment. Without needing an account or revealing your identity, you can release your heaviest unsaid thoughts into the world and browse heartfelt posts from people going through similar experiences. Through gentle interactions, subtle supportive reactions, and encouraging messages, you can give and receive comfort within a compassionate community of strangers, helping you transform lingering emotional burdens into a sense of shared understanding and peace.
https://github.com/Adefebrian/unspokenJAL DEVOPS
DevOps
JAL DevOps is DevOps pipeline automation platform. It runs the whole path from pull request to production across every repository. AI-assisted review, classification and risk scoring pick the route for each pull request. Safe changes merge automatically, and changes that need a person go to reviewers, who can approve them from their phone. Every pull request gets its own preview environment. CI/CD monitoring finds flaky jobs and slow runner queues. After each deploy, a watchdog checks production, opens incidents when something breaks and rolls back instantly to an earlier release. DORA metrics and a full audit log keep every automated action measured and traceable.
https://github.com/Adefebrian/jal-devops-console
Selected experience.
Tech Lead, Jangkar Arunika Luminara
Jul 2026 to Present, Jakarta, Indonesia
- Define and own the end-to-end technical architecture, from infrastructure and data models to APIs and frontend, setting the standards the team builds on.
- Lead a cross-functional engineering team, driving delivery through code review, pairing, and hands-on coaching that lifts code quality and velocity.
- Architect and ship production systems on a modern stack (Hono, Bun, React, Docker) built for scale, reliability, and fast iteration.
- Embed AI into core product flows, owning model selection, prompt design, evaluation, and safe rollout to production.
- Stand up CI/CD, cloud infrastructure, and observability so releases ship faster with fewer regressions.
Corporate AI Facilitator, Jangkar Arunika Luminara
Aug 2026 to Present, Jakarta, Indonesia
- Lead corporate AI enablement programs that turn LLMs and AI tooling into practical, day-to-day workflows for business teams.
- Design and deliver hands-on workshops on prompt engineering, AI-assisted workflows, and responsible AI adoption.
- Partner with teams to identify high-leverage AI use cases and translate them into repeatable, measurable processes.
AI Fullstack Engineer, Jangkar Arunika Luminara
Apr 2026 to July 2026, Jakarta, Indonesia
- Design and build full-stack applications end to end, from database and API to responsive, production-ready interfaces.
- Integrate AI capabilities such as LLM APIs, retrieval, and automated evaluation directly into product experiences.
- Deliver on a modern, scalable stack (Hono, Bun, React, Docker) with clean, maintainable, well-tested code.
AI Quality Analyst, Turing
Jan 2026 to Apr 2026, Remote
- Designed and executed multi-turn conversational prompts testing AI integration across 4 primary data ecosystems (Search, YouTube, Gmail, and chat history) to enhance personalized user experiences.
- Evaluated Side-by-Side (SxS) model responses, delivering structured, turn-by-turn rationales focusing on 3 critical dimensions: grounding, integration, and helpfulness.
- Identified and documented complex AI errors, including hallucinations, flawed inferences, and robotic over-narrating, to provide highly actionable optimization feedback.
- Verified backend debug information for 100% of evaluation cases to ensure accurate chat summary utilization while maintaining zero data pollution in testing environments.
Founder, Airdrop Sultan Indonesia
Jan 2024 to Feb 2026, Cirebon, Indonesia
- Founded and led a data-driven digital marketing agency to 40,000+ community members while securing 500+ global partnerships through strategic campaign analytics and KPI-driven growth.
- Architected automated Metabase dashboards and reporting pipelines that reduced manual data processing time by 60% while providing real-time performance insights.
- Led the development of Python-based customer segmentation models and ad hoc analysis, resulting in a 25% measurable increase in community engagement and conversion outcomes.
Data Analyst Intern, House of Representatives, DPR RI
Aug 2023 to Jan 2024, Jakarta, Indonesia
- Recognised as 2nd Best Intern for analytical performance and professionalism among all programme participants.
- Developed comprehensive Tableau dashboards to monitor national commodity trends across 38 provinces, supporting policy decisions on essential goods distribution.
- Engineered SQL scripts to identify price anomalies and supply chain inefficiencies across 10+ essential commodities, informing targeted logistics interventions at the ministerial level.
Research Assistant, AI and Data Analytics, Universitas AMIKOM Yogyakarta
Dec 2022 to Nov 2023, Yogyakarta
- Published peer-reviewed NLP research in an IEEE-indexed journal featuring a disaster tweet classification model achieving 83% recall and 82% F1 score using LSTM and FastText.
- Presented technical findings at an international academic conference after benchmarking 4 deep learning configurations.
Mobile Developer Intern, Alterra Academy
Aug 2022 to Jan 2023, Remote
- Built Flutter-based mobile applications (MyInvoice and Price Tracker) covering full-cycle UI development and API integration within Agile and Scrum sprint cycles.
Teaching Assistant, Algorithms and Programming, Universitas AMIKOM Yogyakarta
Aug 2021 to Oct 2022, Yogyakarta
- Optimized technical learning for over 120 students across two semesters by facilitating weekly programming practicums and streamlining faculty evaluation processes.
Questions people ask
Who is Ade Febrian?
Ade Febrian, known as Brian, is a Tech Lead and Corporate AI Facilitator at Jangkar Arunika Luminara, based in Cirebon, Indonesia. Brian builds AI products end to end, from architecture and APIs to the interface and production, and graduated from Universitas AMIKOM Yogyakarta with a 4.00 GPA.
What does Brian build?
Brian builds full-stack AI products end to end: the technical architecture, data models, APIs, frontend and the AI features inside them, then ships them to production with CI/CD, cloud infrastructure and observability so releases go out fast with fewer regressions.
What tech stack does Brian use?
Brian ships on Hono, Bun, React and Docker, with PostgreSQL and Redis for data, and integrates LLM APIs from Anthropic and OpenAI, retrieval and agents into products.
What has Brian shipped?
Recent projects include MengAI, TJSL Krakatau Steel, Unspoken and JAL DevOps. TJSL Krakatau Steel, for example, is an accounting and loan-management platform on Bun, Hono, React, PostgreSQL and Redis with more than 2,600 automated tests.
What does Brian do as a Tech Lead?
Brian owns the end-to-end technical architecture and leads the engineering team at Jangkar Arunika Luminara, driving delivery through code review, pairing and hands-on coaching. Brian also embeds AI into core product flows, from model selection and prompt design to evaluation and safe rollout.
What does Brian do as a Corporate AI Facilitator?
Brian leads corporate AI enablement at Jangkar Arunika Luminara, turning LLMs and AI tooling into practical day-to-day workflows for business teams through hands-on workshops on prompt engineering, AI-assisted work and responsible AI adoption.
Has Brian published research?
Yes. Brian published peer-reviewed NLP research in an IEEE-indexed journal featuring a disaster tweet classification model achieving 83% recall and 82% F1 score using LSTM and FastText.
Does Brian take freelance projects?
Yes. Website builds start at $200 for a landing page, and Brian also builds web apps and AI agent integrations and runs growth packages for teams.
How can I contact Brian?
Email adefebrianpro@gmail.com, call +62 878 3065 1889, or connect on LinkedIn at linkedin.com/in/adefebrian.