You will get Professional Project Management & Team Coordination
Project details
Need a reliable Project Manager who brings real leadership, clear communication, and disciplined execution to your project?
With 13 years of management experience built on a strong Army background, I offer highly structured and results-driven project management support.
I have successfully led remote teams since the COVID period—handling development projects, documentation, operations, and task-based coordination. I still manage distributed teams today and ensure smooth delivery with minimal supervision.
I combine traditional project management discipline with modern tools and AI workflows to help you achieve faster results, clear updates, and efficient project execution.
With 13 years of management experience built on a strong Army background, I offer highly structured and results-driven project management support.
I have successfully led remote teams since the COVID period—handling development projects, documentation, operations, and task-based coordination. I still manage distributed teams today and ensure smooth delivery with minimal supervision.
I combine traditional project management discipline with modern tools and AI workflows to help you achieve faster results, clear updates, and efficient project execution.
Target Country
Worldwide, United States, United KingdomWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
General Project Consulting | |||
Define Project Goals | |||
Define Deliverables & KPIs | |||
Establish Schedule & Milestones | - | ||
Risk Management | - | ||
Resource Management | - | - | |
Budget Management | - | - | |
Project Reports | - | ||
Project Diagrams Provided | - | - |
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About Shehzad
AI Agent Pipelines Expert | LLM Automation, RAG, Multi-Step Workflows
100%
Job Success
Lahore, Pakistan - 7:45 am local time
I bring a rare combination: a graduate AI background (currently pursuing MS in AI at LUMS) plus a working software engineer's discipline — migrations, tests, observability, and code you actually own. 28+ completed jobs on Upwork.
WHY "AGENT PIPELINES" MATTERS
Most AI work on Upwork stops at a single prompt or a chatbot demo. Real business value lives in pipelines: scrape → classify → enrich → score → generate → deliver. I build the whole chain.
I architect agent pipelines around three principles:
1. Durable execution — failures retry, partial progress checkpoints, runs are resumable
2. Cost discipline — prompt caching, model routing (cheap first, escalate when needed), token budgets per run
3. Auditability — every prompt versioned, every output logged, every run reproducible
PRODUCTION PIPELINES I'VE SHIPPED
→ Lead Intelligence Pipeline (60K+ leads in production)
A Flask master dashboard orchestrates four sub-modules — pipeline, hot leads, trademark analysis, watchlist — managing subprocesses and probing live status. The pipeline scrapes NY/FL court records (Playwright), runs Datamerch credit checks, cross-references USPTO trademark data, enriches contacts via CDP, then uses Gemini to generate 3 personalized SMS + 1 email per lead, batched at scale.
→ University Discovery SaaS — Next.js 15 + React 19 with Supabase auth, Inngest for durable async agent workflows, Upstash Redis rate limiting, Sentry observability, full Vitest + Cypress coverage.
→ Async Document Processing — FastAPI + Celery + Redis stack. JWT auth, Alembic migrations, full Docker Compose with worker, beat scheduler, and Next.js operator UI.
→ Vendor REST Reverse-Engineering — Reverse-engineered a vendor SMS dashboard's REST API and built a concurrent Node exporter with bounded-concurrency worker pools. 12K+ contacts to clean CSV.
→ Loan Comparison Platform — Edge-deployed on Cloudflare Pages with Drizzle/Neon, Playwright e2e, axe-core a11y, scheduled GitHub Actions scrapers, Lighthouse CI gating.
→ AI-Assisted Marketplace — Next.js 14 with Auth.js v5, Prisma, Resend, Uploadthing, and Gemini-driven content generation across blog/glossary/instant-quote flows.
WHAT I BUILD & DELIVER
AI Agent Pipelines & Multi-Step Automation
• Custom agents that scrape → enrich → reason → generate, end-to-end
• LangChain / LlamaIndex orchestration with durable execution (Inngest, Celery)
• Multi-model routing (GPT-4/5, Claude, Gemini, Llama, Mistral)
• Browser automation agents using Playwright with persistent debug profiles
• Outreach generators with personalization at scale (proven at 60K+ records)
RAG Systems That Actually Work
• Document parsing that respects structure (headers, tables, code blocks)
• Chunking tuned per source (semantic, fixed, hierarchical)
• Hybrid retrieval: vector + BM25 + metadata filters, cross-encoder re-ranking
• Citation tracking + eval harness (hit-rate, MRR, faithfulness scoring)
• Pinecone, ChromaDB, FAISS, pgvector
Web Scraping & Data Pipelines
• Playwright with persistent Chrome profiles for anti-bot sites
• REST reverse-engineering when scraping is too slow
• Bounded-concurrency worker pools, resumable runs with checkpointing
• LLM-driven extraction when structure is too variable for selectors
Full-Stack Web Apps to Wrap Your AI
• Next.js 14/15 + FastAPI + Postgres (Neon, Supabase)
• Auth, billing, admin dashboards, observability — full production stack
MY STACK
Languages: Python (primary), TypeScript / JavaScript
LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, Google Generative AI
Vector DBs: Pinecone, ChromaDB, FAISS, pgvector
Models: GPT-4/5, Claude (Sonnet/Opus), Gemini, Llama, Mistral, Ollama (local)
Orchestration: Inngest, Celery + Redis, asyncio, Playwright
Backend: FastAPI, Flask, SQLAlchemy + Alembic, Pydantic
Frontend: Next.js 14/15, React 18/19, TypeScript, Tailwind, shadcn/ui
Data: PostgreSQL (Neon), Supabase, Drizzle, Prisma, Cloudflare R2
Infra: Docker, Cloudflare Pages, Vercel, GitHub Actions, Sentry
WHY CLIENTS CHOOSE ME
I don't just use AI — I architect with it. I understand the full stack from model selection and prompt engineering to deployment and observability. My engineering background means I write migrations, run tests, and ship things that don't break in production. My AI graduate work means I know when fine-tuning beats prompting, when RAG beats fine-tuning, and when neither is the right answer.
If you have a manual workflow eating hours per week, an AI prototype that needs to become a real product, or a scraping + LLM pipeline that has to run on a schedule — let's talk. First 30 minutes is free.
Steps for completing your project
After purchasing the project, send requirements so Shehzad can start the project.
Delivery time starts when Shehzad receives requirements from you.
Shehzad works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Assessment & Planning
Review your requirements and existing materials Create a clear project plan, scope, and timeline Define milestones and key deliverables
Team Coordination & Workflow Setup
Assign and clarify tasks Establish communication channels Set up dashboards and progress tracking