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Saqib S.
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Saqib S.

GenAI Engineer | RAG & LLM Systems in Production | Python, FastAPI

RAG pipelines, multi-agent systems, and production LLM applications — built end to end on FastAPI, LangGraph, and Pinecone. 15+ years shipping SaaS platforms from architecture through deployment, US-based. WHAT I'VE SHIPPED Claude-powered executive assistant agent — autonomous task and schedule management. 7 tools wired to calendar and email, 25% task-completion rate on a held-out eval set, 10s median response. Running 500+ actions/day in production across a fleet of users. Multi-agent SaaS platform — connecting unscrupulous financial data to intelligent decisions made in real-time . 15 specialized agents coordinated through LangGraph, 55% reduction from original manual processing pipeline, integrated across 4 third-party platforms. WHAT I BUILD Retrieval systems — grounded answers over PDFs, SQL, and internal docs, with citation and refusal behavior validated against a held-out eval set rather than assumed. Agentic workflows — LangGraph and CrewAI agents that run multi-step tasks with retry, state persistence, and human-in-the-loop checkpoints wherever being wrong is expensive. Full-stack SaaS — auth, Postgres/Supabase, Stripe, and the AI layer wired together and deployed. MVP through production, one engineer end to end. HOW I WORK Every AI system I ship comes with an eval harness. If we can't measure retrieval quality or task success, neither of us can tell whether the last change helped. I write the eval set before the pipeline. I own the whole stack, so integration failures don't turn into a scheduling problem across three contractors. Architecture, security, deployment, and the AI logic sit with one person. Based in Texas, so there's real overlap with US business hours. STACK AI & LLMs: Claude · GPT · Gemini · Llama · Mistral Orchestration: LangChain · LlamaIndex · LangGraph · CrewAI Retrieval: Pinecone · Chroma · FAISS · Weaviate Backend: FastAPI · Django · Flask · Node.js Frontend: React · Next.js · TypeScript · Tailwind Data: PostgreSQL · MongoDB · Redis · Supabase · Firebase Infra: AWS · Docker · CI/CD Tell me what you're building and what "working" looks like for it, and I'll tell you how I'd architect it before you hire anyone.

🇺🇸Sugar Land, United States$85/hr100% JSS5.00 (3)Since Oct 2019

Earnings and projects

MRR
$82

Last 6 months ÷ 6

World#140,108 / 412k
🇺🇸Country#18,978 / 62.1k
Revenue, last 30 days
$0

Last 6 months: $494

Total earnings
$1.5k

Billed in all: $1.6k

World#357,710 / 412k
🇺🇸Country#54,896 / 62.1k
Per project
$380

$494 in the last 6 months

World#208,769 / 412k
🇺🇸Country#34,469 / 62.1k
Projects, last 6 months
1

Across 3 contracts

33% fixed67% hourly
World#128,092 / 412k
🇺🇸Country#16,472 / 62.1k
Projects in all
4

Across 10 contracts

30% fixed70% hourly
World#283,741 / 412k
🇺🇸Country#40,819 / 62.1k

Earnings, last 30 days

$1.6kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$1,540$1,560$1,580$1,600Oct 8Oct 23Nov 7

Skill rankings: Top 26% in MongoDB

Ranked by MRR among everyone on Upwork with the skill.

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  5. #2,803MongoDB10,865 freelancers · 🇺🇸 #127Top 26%
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  7. #4,065Full-Stack Development9,452 freelancers · 🇺🇸 #369Top 43%
  8. #4,455PostgreSQL12,850 freelancers · 🇺🇸 #323Top 35%