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You will get Develop and program Machine Learning Model Using Python
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Project details
* Machine Learning, Deep Learning
* Natural Language Processing
* Data Mining
* Computer Vision
* Data Science
* Data Analysis & Visualizations
* Data scrapping and Data extraction with Scrapy, Beautiful Soup, and Request libraray
* Pandas & Numpy, scikit-learn, Keras, Tensorflow, Nltk, Pytorch, Matlab, OpenCV
I believe in long term relationship with my most valuable clients, Study, research, teamwork, better communication and best support are key points of me.
Feel free to message me about your project and get free consultation.
* Natural Language Processing
* Data Mining
* Computer Vision
* Data Science
* Data Analysis & Visualizations
* Data scrapping and Data extraction with Scrapy, Beautiful Soup, and Request libraray
* Pandas & Numpy, scikit-learn, Keras, Tensorflow, Nltk, Pytorch, Matlab, OpenCV
I believe in long term relationship with my most valuable clients, Study, research, teamwork, better communication and best support are key points of me.
Feel free to message me about your project and get free consultation.
What's included
| Service Tiers |
Starter
$35
|
Standard
$55
|
Advanced
$85
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 9 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 3 | 5 | 7 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
(+ 1 Day)
+$10
Model Documentation
(+ 2 Days)
+$15
serve machine learning model into production
(+ 5 Days)
+$150
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MS
Muhammad S.
Jul 3, 2022
Fix Web service video processing api that is using Deep learning and FastAPI
Younis is a professional in the field of artificial intelligence, machine learning, deep learning, video processing, and also web services.
Younis has proven to be responsible, dedicated, and elegant. He is more than capable of absorbing and implementing new tasks and so I can personally recommend him with great enthusiasm for any position in the AI Machine Learning sector and software development in general.
Younis has proven to be responsible, dedicated, and elegant. He is more than capable of absorbing and implementing new tasks and so I can personally recommend him with great enthusiasm for any position in the AI Machine Learning sector and software development in general.
About YOUNIS
AI Engineer | LLM Systems | Agentic AI | Edge AI | RAG |Voice AI
100%
Job Success
Dayr al Balah, Palestinian Territories - 1:53 pm local time
AI Engineer specializing in production LLM systems, Agentic AI, RAG, and Edge AI deployments.
I build AI systems that go beyond prototypes — scalable, observable, and production-ready applications designed for reliability and real-world usage.
My experience spans multi-agent systems, real-time Voice AI, advanced RAG pipelines, NVIDIA Jetson edge deployments, and computer vision systems, with a strong focus on latency optimization, workflow durability, and system observability.
🚨 Common AI Problems I Solve
→ Hallucinations and unreliable retrieval
→ Slow streaming and high-latency inference
→ Agents losing memory, context, or execution state
→ Poor observability and difficult debugging
→ AI demos that fail in production environments
✅ Production-Focused Solutions
→ Durable agent workflows using Temporal & DBOS
→ Advanced RAG pipelines with hybrid retrieval and reranking
→ Full tracing and observability for agents, tools, and LLM workflows
→ Real-time streaming architectures for Voice AI and conversational systems
→ Edge AI optimization on NVIDIA Jetson using TensorRT & DeepStream
Core Expertise
🤖 Agentic AI & Multi-Agent Systems
→ Multi-agent orchestration and tool-use systems
→ LangGraph, LlamaIndex, AutoGen, Google ADK, PydanticAI
→ MCP servers, memory systems, planning, and HITL workflows
🔍 RAG & LLM Systems
→ Production RAG pipelines and knowledge-base AI
→ Hybrid search, reranking, embeddings, and retrieval optimization
→ GPT-4o, Gemini, Claude, LLaMA, Qwen, multimodal systems
🎙️ Real-Time Voice AI
→ Stateful voice agents with streaming audio pipelines
→ WebSocket-based low-latency architectures
→ Gemini-native voice agents and conversational workflows
👁️ Edge AI & Computer Vision
→ NVIDIA Jetson Orin/Nano deployments
→ YOLO, OCR, segmentation, tracking, and video analytics
→ TensorRT, DeepStream, edge inference optimization
🌐 Backend & Infrastructure
→ FastAPI, Django, REST APIs, WebSockets
→ PostgreSQL, Neo4j, Redis, vector databases
→ Docker, scalable deployment pipelines, event-driven systems
⭐ Selected Projects
✓ Conversena — Arabic conversational commerce AI with multi-agent workflows, hybrid RAG, multimodal search, and persistent memory
✓ VidEduGen — Multi-agent AI platform for automated educational video generation using scalable event-driven architecture
✓ Real-time Edge AI System — NVIDIA Jetson-based multi-camera vision pipeline with OCR, TensorRT, and DeepStream optimization
⭐ Why Clients Work With Me
✔ Production-first engineering mindset
✔ Strong expertise in Agentic AI and scalable LLM systems
✔ Real-world experience with Voice AI and Edge AI deployments
✔ Clear communication and maintainable system design
If you’re building:
→ AI agents or multi-agent systems
→ RAG or knowledge-base AI applications
→ Voice AI or conversational systems
→ Edge AI / NVIDIA Jetson deployments
→ Computer vision or real-time AI pipelines
I can help you design and ship a reliable production-grade AI system.
📩 Feel free to message me to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so YOUNIS can start the project.
Delivery time starts when YOUNIS receives requirements from you.
YOUNIS works on your project following the steps below.
Revisions may occur after the delivery date.
Data analysis
Data exploratory analysis, data visualization and feature selection
Data processing
Perform data preprocessing technique data cleaning and data manipulation