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Rising Talent
Rising Talent
Project details
I specialize in building intelligent, real-time AI solutions that make a meaningful impact—such as sign language recognition systems that promote inclusivity and accessibility. With a strong foundation in Python, machine learning, and computer vision, I develop clean, efficient, and scalable code tailored to your needs. What sets my work apart is my focus on solving real-world problems through innovation, user-centered design, and reliable delivery.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 9 days | 17 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$70 - $400
Additional Revision
+$10Frequently asked questions
About Taha
AI Engineer | NLP, LLM Apps, CV Pipelines & End-to-End Deployment
Islamabad, Pakistan - 3:30 am local time
I’m an AI/ML Engineer specializing in LLM applications, Agentic RAG systems, Computer Vision pipelines, and production-grade ML deployment.
With 4+ years of hands-on experience, I help startups, founders, and engineering teams build real, reliable AI systems that go far beyond research notebooks.
Whether you need a custom GPT-style assistant, a vision model pipeline, or an end-to-end AI workflow deployed on cloud — I deliver systems that are fast, scalable, and production-ready.
🔹 What I Build
AI Agents & Agentic Workflows
Multi-agent architectures (LangGraph, MCP, FastAPI)
JSON-structured agents for analysis, planning, QA, workflow automation
RAG with clustering, hybrid search, dynamic prompting, and memory
Integrations: Slack, QuickBooks, custom API tools
LLM Applications & RAG Systems
GPT/Claude/Gemini AI assistants for legal, finance, HR, support
Vector DB–backed RAG pipelines (FAISS, Qdrant, Chroma)
Document extraction, summarization, NER, clause detection
LLM fine-tuning (LoRA/QLoRA) & domain-specific knowledge bases
Computer Vision & Image Generation
YOLOv8/YOLOv11 detection
U-Net, SAM, BiRefNet segmentation (97%+ IoU in production)
Quality inspection, microscopy analysis, aerial/satellite features
ComfyUI workflows: SDXL, LoRA, I2I, inpainting, background removal
Object isolation, synthetic background generation
End-to-End ML Engineering & MLOps
Data ingestion → labeling → preprocessing → training
FastAPI/Flask ML APIs deployed on AWS/GCP/Docker
Model optimization, monitoring, scaling
Workflow automation using n8n, Airflow
🔹 Key Achievements
Biotech CV Pipeline: Increased real-world microscopy accuracy by 13% using PyTorch + OpenCV + Docker.
AI Video Generation System: Built script → visuals → TTS → lip-sync → MP4 multimodal pipeline.
Segmentation Pipelines: Achieved 97% IoU with 80% faster retrieval in production systems.
LLM Legal Analyzer: Automated extraction & structuring of legal clauses into JSON.
Agentic Script Planner: Built a multi-agent pipeline to generate structured content plans from briefs.
🔹 Why Clients Work With Me
I deliver working, stable AI products, not experiments.
Deep cross-domain expertise: CV + NLP/LLMs + MLOps + automation.
Clean, modular, documented code.
Fast, clear communication and complete ownership of delivery.
Experience across startups and enterprise setups.
🔹 Tech Stack
Python • PyTorch • TensorFlow • HuggingFace • LangChain • LangGraph • FastAPI • ComfyUI • Diffusers • SAM • LoRA • Qdrant • FAISS • OpenCV • Docker • AWS • GCP • Streamlit • n8n Automation
Let’s Build Something Intelligent
If you're looking for an engineer who can take an AI idea or broken pipeline and turn it into a production-ready system, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Taha can start the project.
Delivery time starts when Taha receives requirements from you.
Taha works on your project following the steps below.
Revisions may occur after the delivery date.
Post-Delivery Support
Offer support for implementation, minor fixes, or further guidance as agreed in the selected package.