You will get an AI Resume Screening Assistant with Human-in-the-Loop Review
Top Rated
Top Rated
Project details
Rank candidates by genuine fit — with reasoning you can see, not a black-box keyword match.
I build AI resume-screening assistants that parse incoming resumes against a job description, score fit with visible reasoning (not just keyword overlap), flag any bias-prone criteria for human review, and output a ranked shortlist — built with a human-in-the-loop step before any candidate is rejected, so a person stays accountable for hiring decisions.
What you get:
Fit-scoring with explained reasoning, not a mystery number
Flagging of potentially biased screening criteria, so your process stays defensible
A ranked shortlist output, ready for your recruiting team to review
No fully-automated rejections by default — human sign-off is built into the flow
Process: review your job description and a few example resumes to calibrate → build and test scoring accuracy with you → deploy with documentation on how scoring works.
Top Rated on Upwork. Message me with your role and hiring volume and I'll confirm the right scope.
I build AI resume-screening assistants that parse incoming resumes against a job description, score fit with visible reasoning (not just keyword overlap), flag any bias-prone criteria for human review, and output a ranked shortlist — built with a human-in-the-loop step before any candidate is rejected, so a person stays accountable for hiring decisions.
What you get:
Fit-scoring with explained reasoning, not a mystery number
Flagging of potentially biased screening criteria, so your process stays defensible
A ranked shortlist output, ready for your recruiting team to review
No fully-automated rejections by default — human sign-off is built into the flow
Process: review your job description and a few example resumes to calibrate → build and test scoring accuracy with you → deploy with documentation on how scoring works.
Top Rated on Upwork. Message me with your role and hiring volume and I'll confirm the right scope.
What's included
| Service Tiers |
Starter
$450
|
Standard
$1,100
|
Advanced
$2,200
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 4 | 6 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
15 reviews
(14)
(0)
(1)
(0)
(0)
This project doesn't have any reviews.
JD
Jackson D.
Jul 28, 2026
LLM Engineer Needed to Audit Handover (Code, Access, Documentation)
BL
Bradley L.
Feb 23, 2026
AI Specialist / Custom GPT Builder (Ongoing Contract – Start ASAP)
Muhammad was great, he went above and beyond the scope of work and truly cares about giving his clients the best experience, he is also an AI expert. We will be using him again for ongoing services
Thanks
Thanks
YB
Youssouf B.
Jan 2, 2026
Anonymization + Multi-Jurisdictions + Triple Search Architecture
Excellent work
YB
Youssouf B.
Aug 6, 2025
Backend Enhancement Project - Document Search System
It has been a real pleasure working with Mubashir on this highly technical and time-sensitive legal tech project. From the outset, he demonstrated strong professionalism, deep technical knowledge, and excellent communication skills.
He was able to quickly understand our complex requirements and delivered a robust, scalable backend with advanced features and a structured API system — all within the expected quality standards.
Mubashir was responsive, collaborative, and committed to delivering real value. We appreciated his structured approach, clean coding practices, and the clarity of his documentation. He also showed flexibility and pragmatism in adjusting to evolving needs during development.
I highly recommend Mubashir to anyone looking for a skilled and reliable backend developer. We’re already planning to work with him again on future projects.
Thanks again, Mubashir, and keep up the great work!
He was able to quickly understand our complex requirements and delivered a robust, scalable backend with advanced features and a structured API system — all within the expected quality standards.
Mubashir was responsive, collaborative, and committed to delivering real value. We appreciated his structured approach, clean coding practices, and the clarity of his documentation. He also showed flexibility and pragmatism in adjusting to evolving needs during development.
I highly recommend Mubashir to anyone looking for a skilled and reliable backend developer. We’re already planning to work with him again on future projects.
Thanks again, Mubashir, and keep up the great work!
YB
Youssouf B.
Jul 12, 2025
Freelance Mission – NLP & AI Expert for Legal Document Indexing & Generation
About Muhammad
RAG & AI Agent Engineer | Claude, GPT-4o, LangGraph, LangChain & MCP
100%
Job Success
Peshawar, Pakistan - 6:02 am local time
I'm an AI/ML Engineer and Full-Stack Developer with 5+ years shipping systems past the demo stage into real production use --- architecture, backend, testing, deployment, and ongoing reliability (evals, guardrails, monitoring).
WHAT I BUILD
→ RAG & Agentic Retrieval --- enterprise document search, legal/compliance platforms, multi-jurisdiction PII anonymization (98% detection accuracy), retrieval pipelines built around evals, not just vector search
→ AI Agents & Multi-Agent Systems --- LangGraph, CrewAI, Claude Agent SDK, and Model Context Protocol (MCP) systems with human-in-the-loop approval steps, persistent memory, and guardrails
→ AI-Powered SaaS Backends --- Claude/GPT-4o chat with prompt caching (up to 90% token-cost savings), Stripe billing, Twilio/WhatsApp and voice-agent pipelines
→ Workflow Automation --- n8n, Make, GoHighLevel, Zapier, and conversational AWS Bedrock infrastructure agents
→ Computer Vision & Predictive ML --- medical imaging (CNN classification), demand forecasting, statistical prediction models
RESULTS I'VE DELIVERED
- 80% reduction in document-generation time on a legal AI platform processing 50,000+ documents
- 98% PII-detection accuracy across multi-jurisdiction legal case data
- 95%+ backtested accuracy on real-time prediction models
- ~90% input-token cost reduction via prompt caching on a production SaaS chatbot
HOW I WORK
Discovery call → architecture proposal → scoped build with regular check-ins → testing/evals → deployment & documentation. Clean, maintainable code and a real handoff --- not a black box.
Tools & stack: Claude API, Claude Agent SDK, OpenAI GPT-4o, LangChain, LangGraph, CrewAI, Model Context Protocol (MCP), Pinecone, Qdrant, Elasticsearch, AWS Bedrock, Python, FastAPI, Node JS, n8n, Make, GoHighLevel, Zapier, Stripe, Twilio
Top Rated on Upwork, 100% Job Success across 17 completed contracts, 5.0★ average. If you're building a RAG system, AI agent, or automating a workflow with AI, send me your brief --- happy to do a free 15-minute call to scope it out.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Clarification & Scope Finalization
Start work with daily progress update