Ananda D.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I build production data pipelines and LLM systems in Python and PostgreSQL. Most recent delivery: a sports data platform for a UK client consolidating 11 sources into one Postgres database. 6.7 million records, sub-0.1% validated error rate, running in production today. That project is representative of how I work. Messy multi-source data in, one clean queryable source of truth out: 70 custom scrapers (Playwright, httpx, asyncio), entity resolution with fuzzy matching and canonical ID mapping, automated quality monitoring, and daily reconciliation so the client can trust the numbers without checking my work. Three things I get hired for: Scraping and data consolidation. Production crawling infrastructure, ETL into PostgreSQL or Supabase, deduplication and entity resolution across sources that disagree with each other. Built to be maintained by your team afterward, with documentation written for people who use AI coding tools. LLM and Claude API systems. RAG pipelines, structured extraction, prompt evaluation frameworks, cost optimization at volume. Seven years of ML background (Telkom Indonesia, national-scale NLP deployments, a Minister of State Secretariat award) means I know when an LLM is the right tool and when a $0 regex does the same job. Full-stack builds on Supabase. Next.js and FastAPI applications with Row Level Security, real-time features, and payment integrations. Recent example: a multi-tenant payroll system for a manufacturer, handling piece-rate and hourly calculations with offline-capable mobile logging, maintained by the client's own team since handoff. Based in Indonesia (UTC+7). I commit to a daily US-morning or EU-afternoon overlap window and deliver async the rest of the day, so you get overnight progress and a live sync every morning. I scope honestly, flag risks before you fund them, and price discovery separately from builds so neither of us bets on unknowns. Certifications: TensorFlow Developer, Stanford XCS224N (NLP), AWS ML Engineer Nanodegree, DeepLearning.AI MLOps.