Eman Ali M.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.

𝐀𝐈 𝐜𝐚𝐧 𝐰𝐫𝐢𝐭𝐞 𝐜𝐨𝐝𝐞 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐢𝐧 𝐬𝐞𝐜𝐨𝐧𝐝𝐬. 𝐈𝐭 𝐜𝐚𝐧𝐧𝐨𝐭 𝐭𝐞𝐥𝐥 𝐲𝐨𝐮 𝐰𝐡𝐞𝐧 𝐢𝐭'𝐬 𝐪𝐮𝐢𝐞𝐭𝐥𝐲, 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐭𝐥𝐲 𝐰𝐫𝐨𝐧𝐠. 𝐓𝐡𝐚𝐭'𝐬 𝐦𝐲 𝐣𝐨𝐛 — 𝐚𝐧𝐝 𝐈'𝐯𝐞 𝐝𝐨𝐧𝐞 𝐭𝐡𝐞 𝐡𝐚𝐫𝐝 𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐨𝐟 𝐢𝐭 𝐟𝐨𝐫 𝟐𝟒 𝐲𝐞𝐚𝐫𝐬. The world is filling up with AI-generated everything. The rare, valuable skill now isn't generating it — it's trusting it. Catching the confident lie. Finding the buried error. Putting a senior name on the result before it ships to production. After 24 years architecting data and AI platforms for S&P Global, a telecom serving 200M+ subscribers, and an AI-first healthcare company, that's exactly what I bring you: a human who can drive AI hard, catch what it gets wrong, and own the outcome. 𝐓𝐡𝐞 𝐭𝐫𝐚𝐜𝐤 𝐫𝐞𝐜𝐨𝐫𝐝: -Top Rated Plus · $50,000+ earned · 4,100+ hours · 27 projects at 5 stars -24 years across software, Big Data, and AI · former CTO and Director of Engineering -Published Udemy instructor · enterprise clients including S&P Global and Lebara 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨 𝐟𝐨𝐫 𝐲𝐨𝐮: Trustworthy data — I find bad data before it corrupts your dashboards, models, and decisions. I built validation systems that lifted data trust from 60% to 95%, and ingested 1.4 billion records in 80 minutes. Data platforms that don't bleed your budget — I designed a 500TB data lake ingesting 200+ sources at S&P Global, and cut a telecom client's cloud bill by 47% ($850K a year) without losing performance. AI that actually works in production — RAG, multi-agent systems, and document digitization with GPT, Gemini, Claude, and Vision APIs — built and shipped for real healthcare data, not demos. Data & AI governance — HIPAA-grade governance, data quality scorecards, and lineage, so your AI use is compliant and your data is trusted. AI-assisted software development, verified — 24 years in the .NET ecosystem means I can build fast with AI and catch the bug it hid in line 47 — the missing null check that crashes your pipeline at 2 a.m. and costs you three days to find. 𝐖𝐡𝐲 𝐈'𝐦 𝐧𝐨𝐭 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐀𝐈 𝐠𝐨𝐥𝐝 𝐫𝐮𝐬𝐡: Most people building with AI right now can't tell when the machine is wrong. I can. I read AI-generated code and pipelines, find what's broken or unsafe, and stand behind the fix. AI can generate. It can't be accountable. I am. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: 𝐃𝐚𝐭𝐚 & 𝐀𝐈 — Snowflake, Databricks, Spark, Kafka, NiFi, Airflow, Elasticsearch, AWS, Azure, GCP, RAG, LLMs, vector databases, Data Mesh / Fabric / Vault 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 — C#, .NET 6/7/8, ASP.NET, Azure, React, Angular, Node.js, SQL Server, microservices, REST / GraphQL Why clients come back: -I tell you what will break before it breaks -Documentation and mentorship your team will actually use -Architecture that scales without blowing up your cloud bill Have a data platform that's slow, expensive, or untrustworthy? An AI initiative that needs to work in production, not just in a demo? Or AI-generated code you need a senior pair of eyes to verify before it ships? Let's talk.