You will get a professional assignment related to IT subjects
Project details
I am a software engineer by profession and a writer by passion. I assure you of quality writing and zero plagiarism. I combine my expertise from the field of Software Engineering with an immaculate writing style to generate amazing an quality articles.
I can help you with
project documentation
instructions manuals
software related articles
urgent assignments
coding
Your project and my skills are a great fit. Here’s why:
I work quickly and value your time. High-quality work will be delivered to you in a timely manner.
I understand that I am working with you to provide a unified identity for you. I take that seriously and will put my all into developing the best product possible.
Once we agree on a deadline, it is set in stone. I will meet every deadline.
I can help you with
project documentation
instructions manuals
software related articles
urgent assignments
coding
Your project and my skills are a great fit. Here’s why:
I work quickly and value your time. High-quality work will be delivered to you in a timely manner.
I understand that I am working with you to provide a unified identity for you. I take that seriously and will put my all into developing the best product possible.
Once we agree on a deadline, it is set in stone. I will meet every deadline.
Document Type
Instruction ManualTopic
SoftwareLanguage
EnglishWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 3 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Words | 2000 | 5000 | 10000 |
Number of Technical Illustrations | 5 | 10 | 15 |
Consultation | - | - | - |
Proofreading & Editing | |||
Additional Research | - | ||
References & Citations | - | - | |
Formatted Style Guide | - | - |
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About Shehzad
AI Agent Pipelines Expert | LLM Automation, RAG, Multi-Step Workflows
100%
Job Success
Lahore, Pakistan - 4:36 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.
making the requirements clear
I assure you that all the requirements are clear and minimize ambiguities because clear requirements are of very important when it comes to a project success
Initial draft
I will deliver an initial draft according to requirements