You will get Computer Vision & Image AI - Detection, OCR, Medical Imaging & QA
Rising Talent
Project details
If your business needs machines that see - detect defects, read documents, analyze medical scans, or monitor video - you need computer vision.
I built vision AI across manufacturing, healthcare, retail, and logistics - from classification to real-time detection.
What We Build:
• Object Detection: Count items, spot defects, identify products on shelves or belts
• OCR & Document AI: Extract text from invoices, receipts, IDs, and handwritten forms
• Medical Imaging: X-rays, MRIs, and pathology slides at clinical-grade accuracy
• Quality Assurance: Catch defects humans miss at production speed
• Video Analytics: Real-time monitoring for security, traffic, and safety
Our Portfolio:
• ReadGenie: OCR + NLP extracting structured data from 20+ document types
• Medical imaging at 97% accuracy on diagnostic scans
• AI Art Generator with custom style transfer
Why Us:
Most AI shops treat vision as an afterthought. We have ML engineers who've trained hundreds of models - annotation, training, optimization, and edge deployment included.
Tech: PyTorch, TensorFlow, OpenCV, YOLO, NVIDIA Jetson, Python
I built vision AI across manufacturing, healthcare, retail, and logistics - from classification to real-time detection.
What We Build:
• Object Detection: Count items, spot defects, identify products on shelves or belts
• OCR & Document AI: Extract text from invoices, receipts, IDs, and handwritten forms
• Medical Imaging: X-rays, MRIs, and pathology slides at clinical-grade accuracy
• Quality Assurance: Catch defects humans miss at production speed
• Video Analytics: Real-time monitoring for security, traffic, and safety
Our Portfolio:
• ReadGenie: OCR + NLP extracting structured data from 20+ document types
• Medical imaging at 97% accuracy on diagnostic scans
• AI Art Generator with custom style transfer
Why Us:
Most AI shops treat vision as an afterthought. We have ML engineers who've trained hundreds of models - annotation, training, optimization, and edge deployment included.
Tech: PyTorch, TensorFlow, OpenCV, YOLO, NVIDIA Jetson, Python
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, Apache Mahout, Apache MXNet, Apache Spark MLlib, BERT, Chainer, Databricks Platform, Deeplearning4j, GitHub Copilot, Google Data Studio, H2O, KNIME, MATLAB, Microsoft Power BI, NLTK, Open Neural Network Exchange, pandas, Python Scikit-Learn, SAS, Scrapy, SPSS, Tesseract OCR, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$4,000
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 15 days | 30 days | 50 days |
Number of Revisions | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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BP
Bhaskar P.
Jun 2, 2026
AI Clinic Management System + Mobile Admin App | Multi-Agent AI, Whisper STT, EHR & POS Integration
Usman was great to work with. He communicated clearly, delivered quality work on time, and exceeded expectations. Highly recommended
RW
Rachel W.
Apr 25, 2026
Senior Agentic AI Engineer - Multi-Agent SaaS MVP
Usman demonstrated a strong grasp of the project scope from the outset. He correctly identified this as a Series A-grade build rather than a prototype, and asked the right diagnostic questions about our target vertical, compliance requirements, and the boundaries of the MVP. His initial discovery around the multi-agent orchestration logic, OAuth flows, and per-user learning loops showed genuine senior-level thinking rather than surface-level pattern matching.
About Usman
AI Engineer | RAG, LangChain, AI Agents, LLM SaaS Developer
100%
Job Success
Farmington, United States - 6:44 am local time
They work in a demo, break in production, and never ship. That's because
building an AI feature is one skill. Shipping an AI product is a different one.
I do the second part.
I'm a full-stack engineer who specializes in AI products. I take your idea -
a RAG chatbot, an AI agent, an LLM-powered SaaS - and turn it into a deployed,
working application your users can actually log into. Frontend, backend,
LLM layer, database, deployment. One person, one codebase, one timeline.
What I build:
→ RAG chatbots that answer questions from your docs, PDFs, or knowledge base
(LangChain, Pinecone/Weaviate, OpenAI, streaming responses, citations)
→ AI agents that actually do work - not just chat
(LangGraph, AutoGen, tool-calling, multi-step workflows, human-in-the-loop)
→ AI-powered SaaS MVPs - the full product, not just the AI part
(Auth, billing, dashboards, admin panels, Stripe, the whole thing)
→ LLM integrations into existing apps
(Adding AI features to products you've already built)
The stack I actually use day-to-day:
Python (FastAPI), Node.js, Next.js, React, PostgreSQL, Pinecone,
OpenAI / Anthropic APIs, LangChain, LangGraph, PyTorch, Docker, AWS.
How I work:
1. We get on a 20-minute call. I tell you honestly whether your idea needs
AI or if a simpler solution is better. (Half the time it's simpler.)
2. I scope a fixed deliverable with milestones - no open-ended hourly trap.
3. I ship in weekly increments so you see progress, not just invoices.
4. 30 days of free support after delivery. Bugs are on me.
If you have a half-built AI prototype that needs to become a real product,
or an idea that needs to go from zero to deployed send me a message with
what you're trying to build. I'll tell you within a day whether I'm the
right fit.
Usman
Steps for completing your project
After purchasing the project, send requirements so Usman can start the project.
Delivery time starts when Usman receives requirements from you.
Usman works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Use Case Definition
We discuss your business needs, data availability, and goals (e.g., defect detection, OCR, medical imaging). I define the best AI approach, success metrics, and project scope.