You will get a production-ready computer vision system (Detection, Tracking, OCR)
Rising Talent
Project details
I build production-ready computer vision systems that go beyond demos and work in real-world environments. Whether you need object detection, tracking, OCR, image analysis, or a custom vision pipeline, I can help design and deliver a solution that is accurate, scalable, and aligned with your use case. This project is built for clients who want more than a notebook experiment — they want a system that can be tested, integrated, and used reliably.
What sets me apart is a research-first, systems-level approach. My background includes advanced AI research and real-world system development across multimodal AI, large-scale models, and production deployments. I do not just train a model and hand over code. I think through the full pipeline: data quality, edge cases, model behavior, evaluation, optimization, and how the solution will actually perform once it leaves the prototype stage.
Depending on your package, I can deliver anything from a focused proof of concept to a production-grade CV system with tuning, deployment, and documentation. If you need a serious computer vision solution built with technical depth and real-world practicality, this project is designed for exactly that.
What sets me apart is a research-first, systems-level approach. My background includes advanced AI research and real-world system development across multimodal AI, large-scale models, and production deployments. I do not just train a model and hand over code. I think through the full pipeline: data quality, edge cases, model behavior, evaluation, optimization, and how the solution will actually perform once it leaves the prototype stage.
Depending on your package, I can deliver anything from a focused proof of concept to a production-grade CV system with tuning, deployment, and documentation. If you need a serious computer vision solution built with technical depth and real-world practicality, this project is designed for exactly that.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, Variational Autoencoder, YOLOAI Applications
AI Content Creation, AI Text-to-Image, AI-Generated Video, Anomaly Detection, Facial Recognition, Image Analysis, Image Processing, Image Recognition, Object Detection, Object Localization, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$200
|
Standard
$600
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Batch Normalization | |||
Database Integration | - | - | |
Detailed Code Comments | |||
Image Upscaling | - | ||
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$50About Ali
PhD in Multimodal Language Models | Research Scientist/Engineer
Plano, United States - 3:38 am local time
I design and build production-grade AI systems that actually work at scale, combining a research-first mindset with real-world execution. My background includes work at Google, Amazon, and industry research, where I’ve developed foundational and multimodal AI models from scratch, published in top-tier AI conferences, and contributed to patented innovations.
I work end-to-end — from data and model design to evaluation, deployment, and product integration — building systems such as RAG pipelines, AI copilots, multimodal applications (text, audio, vision), and intelligent automation embedded directly into business workflows. My experience includes working with modern AI stacks such as GPT-4, LLaMA, LangChain/LangGraph, vector databases (FAISS, Pinecone), and workflow orchestration tools like n8n and Zapier to build scalable, context-aware systems.
What differentiates me is a focus on reliability and real-world performance. I don’t build demos or API wrappers, I design systems that retrieve the right context, reduce hallucinations, handle edge cases, and remain dependable as they scale.
If you need AI to move beyond experimentation and become a reliable part of your product or operations, I can help take it from idea to production.
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Review Requirements and Design Approach
I review your use case, sample data, constraints, and expected output, then define the right computer vision approach for detection, tracking, OCR, or analysis.
Build, Rest, and Deliver
I develop the solution, validate it on your data, refine performance for key edge cases, and deliver the final output based on the selected package.