Hire the Top 2% of
Freelancers in Indonesia

Rahadian P.

Vetted Developer in Indonesia (UTC+7)

Software architect and full-stack engineer with 15+ years across the US, Europe and Asia — most recently two years at Woven by Toyota, where I built a production AI assistant (RAG over internal documentation on AWS Bedrock with Claude and Llama) and refactored a codebase of 10,000-line files into modules under 500 lines, taking test coverage from about 15% to about 80%. I build AI into products that ship, on backends I build myself in Go, Python and TypeScript on AWS. Before Woven I took a social marketplace app from paper design to tens of thousands of users. I’m a product-minded engineer — I look past the ticket to whether the solution actually delivers user value and keeps the system stable. I also maintain perso, an open-source authorization engine for AI agent tool calls. Hours: 9am–7pm UTC+7 — full overlap with Singapore, Japan and Australia, and mornings with Europe. I also work evenings for US Eastern clients: 9pm Jakarta is 9am New York.

Amanda S.

Vetted Marketer in Indonesia (UTC+7)

Hello, I’m Amanda Angela Soenoko, and I live in Bandung, West Java, Indonesia. I’m a dedicated and passionate Web Developer and Full Stack Engineer with 10 years of experience. I have hands-on experience with modern frontend technologies like React and Vite, as well as robust backend frameworks like Node.js and Express.

Husnut T.

Vetted Project manager in Indonesia (UTC+7)

Experienced and self-motivated Solution Strategist with 9 years of working experience overseeing sales figures and new account developments. Proven track records of collaborating with sales teams to achieve goals, increase revenue gains and advance the sales cycle of the company. A strong cloud computing and Microsoft Modern Work Solutions knowledge proven by certificates.

Linggih S.

Vetted Developer in Indonesia (UTC+7)

Machine learning engineer who works on end-to-end pipeline from data collection, data cleaning, preprocessing, train the model, evaluate the model, and to deployment to production using pytorch. Beside machine learning/ artificial intelligence, I can do front-end development using React/Next, Vue/Nuxt, both using Typescript. And a bit of back-end using NodeJS (AdonisJS)

Faisal P.

Vetted Developer in Indonesia (UTC+8)

Applied AI engineer with 7+ years of hands-on delivery, most of it embedded with client and stakeholder teams — from McKinsey's QuantumBlack and Toptal engagements to biotech, hedge-fund, and trading clients. Works the whole path: scoping the highest-value use case, choosing the architecture (models, agents, retrieval, guardrails), shipping a prototype fast, proving it with evals, and hardening it for production. Production AI systems. Built an end-to-end pathology ML system on AWS for a global biobank; a 50+ agent autonomous trading platform running live capital behind a fail-closed governance layer; conversational agents that plan and act through browser and desktop automation (Pydantic AI, Playwright); and RAG and semantic search backends (LangChain, LlamaIndex, FastAPI) on Azure. Fine-tunes open-source foundation models with LoRA/PEFT and SFT — H-Optimus-0 (vision), Kimi-Audio (audio), FinGPT and FinRobot (finance) — and serves them with vLLM and NVIDIA Triton. Evaluation. Treats evals as the backbone of any AI launch: representative datasets, programmatic graders and rubric checks, reference solutions and negative controls, and repeated-rollout analysis (pass@k, trajectories, failure modes). Most recently designed RL environments and verifiable tasks for evaluating frontier coding agents, contributing to Toptal's ExpertCrowd SWE Benchmark. Reliability, cost, and governance. Cut LLM pipeline token costs 50% with the OpenAI Batch API, rewrote latency-critical paths in Rust, and runs MLOps automation (Kubeflow, Vertex AI, MLflow, CI/CD) for continuous training and monitoring. Designs for enterprise requirements from day one — access control, zero-trust networking, encryption, audit trails, and data-usage policies. Has led data and MLOps teams, mentored engineers, and translated technical results into business decisions for executives — on GCP, AWS, and Azure, in Python, TypeScript, Go, and Rust.

Wahyu W.

Vetted Developer in Indonesia (UTC+7)

Data-driven Data Engineer with almost 4 years of experience. Experienced in working with Google Sheet, SQL (PostgreSQL and Google BigQuery), R programming, Python Programming, BI tools (Preset, Metabase, PowerBI, Looker Data Studio and Tableau), and ERP System **(Odoo 16, 17, and 19)**. Adaptive and motivated to keep learning.

Khussal Z.

Vetted Developer in Indonesia (UTC+7)

Fullstack Engineer with 10+ years of software development experience across web, mobile, and backend systems, including nearly 3 years of remote experience with a UK-based company. Experienced in building production applications using Node.js, TypeScript, React, Vue, Next.js, Flutter, Firebase, and microservices. More recently expanded into AI/LLM engineering — multi-provider LLM abstraction, RAG-based conversational search, LLM benchmarking, CI/CD pipelines, and load/stress testing. Comfortable taking ownership of technical architecture while remaining hands-on with implementation.

Nasir B.

Vetted Developer in Indonesia (UTC+8)

IT generalist with over 15 years of experience in IT. Over 4 years direct technical support experience, 8 years of technical training experience, and several years as a professional services engineer in enterprise networking and cybersecurity. Currently delivering technical training for Salesforce while building full-stack web applications on Cloudflare with agents. Also, while I am physically residing in Indonesia, I am a US citizen with both sole proprietorship and LLC in the state of Georgia, so I am flexible when it comes to how we arrange the employment contract.

Dewi .

Vetted Marketer in Indonesia (UTC+7)

Analytical evaluator with 9+ years of experience across digital marketing, AI training & evaluation, content and performance analysis. I have experience in evaluating content quality, campaign effectiveness, user behavior, and AI-assisted outputs using structured reasoning and performance signals. Skilled in identifying workflow inefficiencies, interpreting performance data, and translating findings into actionable improvements across content, UX, messaging, and operational processes. Combines analytical thinking with marketing and behavioral insight to improve quality, clarity, engagement, and overall effectiveness. Experienced working across Indonesia, Singapore, Dubai, and US-based remote projects in cross-functional environments.

Chandra W.

Vetted Marketer in Indonesia (UTC+7)

Digital growth specialist with 12+ years of experience identifying and unlocking revenue bottlenecks through funnel analysis, experimentation, and cross-functional execution. I work at the intersection of marketing, product, and data to diagnose why growth stalls, design testable hypotheses, and turn insights into decisions that improve conversion, lead quality, and revenue efficiency.