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Fauzan T.
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Fauzan T.

Senior Software & AI Engineer - Python | MLOps |Energy-Tech Specialist

Tired of dealing with messy data, unreliable automation, or systems that don’t scale? I help companies build production-ready systems that automate complex workflows, process messy data (PDFs, APIs, databases), and stay reliable as they grow. Hi, I’m Fauzan 👋 Software Engineer + AI/ML Engineer with 8+ years of experience, mostly in energy and industrial systems (AU & ID markets). I’ve solved problems like: - Automated energy procurement workflows (reduced months/weeks → days/hours) - Built IDP pipelines to extract data from highly variable energy bills (PDF/Excel) - Designed end-to-end billing systems (ingestion → validation → invoicing → Xero) - Delivered energy analytics dashboards for cost optimization and operational insights - Enabled emissions reporting using structured energy data and emission factors - Deployed production ML systems (semantic search, document AI) What I can help you with: - Automation & Data Pipelines → extract, validate, and process data from PDFs, APIs, and databases into reliable workflows - Document AI (IDP) → OCR + Vision LLM pipelines to turn complex documents (invoices, bills) into structured data - Energy Data & Reporting → consumption analysis, cost tracking, dashboards, and emissions reporting (with correct factors) - AI / ML Systems → semantic search, forecasting, and production-ready ML pipelines (MLflow, deployment, monitoring) - Backend Systems → scalable Python services (FastAPI, Django), async processing (Celery, Redis) - Frontend & Admin Interfaces → React, Next.js, and mobile apps (Flutter) for actionable insights - Infrastructure & Scaling → CI/CD, Docker, AWS/Azure, monitoring with Grafana & Prometheus Tech I use (when it actually matters) - Backend: Python, FastAPI, Django, Flask - Frontend/Mobile: NextJS/React, Flutter (Mobile) - Data & ML: Pandas, NumPy, MLflow, NLP pipelines, Scikit-Learn - AI Stack: LLMs (GPT-4o/Vision), vector search (Milvus) - Infra: Docker, AWS, Azure, Celery, Redis - Database: PostgreSQL, MongoDB How I work I focus on delivering working systems, not just code: - Break down messy problems into structured systems - I move fast using spec-driven + AI-assisted development - I design systems that are simple, reliable, and maintainable - I avoid over-engineering — every component must justify its cost I take on projects I’m 100% confident I can deliver. If you need someone who can take a complex, messy problem and turn it into a clean, scalable system — let’s talk. If you’d like to discuss your project, just send me a message. We’ll review your requirements together and make sure the solution is tailored exactly to what you need. 🚀📊

🇮🇩Bandung, Indonesia$27/hr100% JSS5.00 (9)Since Jun 2019

Earnings and projects

MRR
$2.2k

Last 6 months ÷ 6

World#20,113 / 412k
🇮🇩Country#124 / 5,726
Revenue, last 30 days
$2.1k

Last 6 months: $13k

World#20,632 / 412k
🇮🇩Country#153 / 5,726
Total earnings
$52k

Billed in all: $54k

World#73,369 / 412k
🇮🇩Country#517 / 5,726
Per project
$3.7k

$6.6k in the last 6 months

World#45,878 / 412k
🇮🇩Country#324 / 5,726
Projects, last 6 months
2
0% fixed100% hourly
World#88,922 / 412k
🇮🇩Country#1,628 / 5,726
Projects in all
14

Across 17 contracts

35% fixed65% hourly
World#168,286 / 412k
🇮🇩Country#2,215 / 5,726

Earnings, last 30 days

$53.5k+$2.1k earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$50k$52k$54kOct 9Oct 24Nov 8

Skill rankings: Top 4% in Statistics

Ranked by MRR among everyone on Upwork with the skill.

  1. #8Energy196 freelancers · 🇮🇩 #1Top 4%
  2. #10OCR Software185 freelancers · 🇮🇩 #1Top 5%
  3. #31Grafana484 freelancers · 🇮🇩 #1Top 6%
  4. #49Statistics1,254 freelancers · 🇮🇩 #1Top 4%
  5. #153Analytics2,087 freelancers · 🇮🇩 #1Top 7%
  6. #385Django5,931 freelancers · 🇮🇩 #3Top 6%
  7. #393RESTful API6,064 freelancers · 🇮🇩 #5Top 6%
  8. #408FastAPI4,337 freelancers · 🇮🇩 #1Top 9%