A skilled Machine Learning expert specializing in NLP and computer vision with extensive experience in end-to-end workflows comprising model training, fine-tuning, and deployment. Completed over 100 projects, including real-time person detection using YOLOv8 [1], OCR solutions with Tesseract [2], and AI chat engines leveraging OpenAI technologies [3]. Proficient in Python, TensorFlow, Keras, and FastAPI, applying these technologies to build robust ML solutions for diverse applications. Machine learning and other expertise - - Python - HuggingFace/transformers, YOLOv8 - Keras, PyTorch, TensorFlow - OpenCV - SciKit Learn - FastAPI, Docker, ReactJS Types of projects I have completed in recent years - #1. Computer Vision - - OCR with Textract, Tesseract, DocTR - Real-time person detection and recognition - Image segmentation - Image depth measurements #2. Natural Language Processing/Understanding/Generation - Chat engine with HuggingFace, GPT, LangChain, OpenAI, ChromaDB - Virtual Personal Assistant Whisper, LLaMA, Tacotron - Customer Support with Whisper, GPT4, GoogleTTS, Twilio - Tweet Generator - Recommendation Systems

𝗪𝗶𝘁𝗵 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗰𝗹𝗲𝗮𝗻, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘄𝗲𝗯 𝗮𝗻𝗱 𝗺𝗼𝗯𝗶𝗹𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗴𝗿𝗼𝘄 ,𝗳𝗿𝗼𝗺 𝗲𝗮𝗿𝗹𝘆-𝘀𝘁𝗮𝗴𝗲 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘁𝗼 𝗲𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀. You've spent months building a SaaS ,but without AI, you're already behind the apps launched last week. I integrate LLMs, RAG, and GPT into your web or mobile product in 1-week , turning it into something your competitors can't copy fast enough. If it doesn't perform as scoped, I rebuild it free. No risk. Just results. WHO THIS IS FOR If you're a founder, CTO, or product owner who wants to: → Add AI features (chatbots, smart search, auto-responses, predictions) to an existing SaaS → Build a new AI-powered web or mobile app from scratch → Integrate GPT-4, Claude, LLaMA, or any LLM into your product → Replace manual workflows with autonomous AI agents → Launch an AI SaaS product that users pay for , and never cancel Then you're in the right place. THE PROBLEM WITH MOST AI DEVELOPERS Most developers treat AI as a plugin. They connect an API, wrap it in a button, and call it "AI-powered." Your users aren't fooled. And your retention numbers show it. Real AI integration means: → Understanding your users' workflows deeply → Building LLM pipelines that are fast, accurate, and cost-efficient → Designing RAG systems so your app answers with YOUR data — not hallucinations → Shipping features that make users think: "How did I ever use this without AI?" That's what I build. WHAT I DELIVER ▸ AI-Powered SaaS Products Custom SaaS platforms with LLM features baked in from day one , smart dashboards, AI copilots, automated workflows, and GPT-powered user experiences that drive retention and reduce churn. ▸ LLM Integration into Existing Apps Already have a web or mobile app? I add intelligence to it , GPT-4, Claude, Mistral, or open-source LLMs wired into your existing codebase without breaking what already works. ▸ RAG Pipelines & Knowledge Bases I build Retrieval-Augmented Generation systems so your app answers questions using YOUR documents, databases, and data , not generic AI guesswork. Fast, accurate, hallucination-resistant. ▸ AI Chatbots & Autonomous Agents Custom ChatGPT-style assistants and AI agents that don't just answer , they act. Book appointments, generate reports, search databases, trigger workflows , all automatically. ▸ Voice AI & Multimodal Apps Multilingual voice interfaces, speech-to-text pipelines, and multimodal AI apps (text + image + voice) for global products and enterprise customer support systems. ▸ Full-Stack AI Web & Mobile Development End-to-end: from UI/UX design to backend architecture to cloud deployment. React, Next.js, FastAPI, Node.js ,whatever your stack, I build the full product, not just the AI layer. PROVEN RESULTS (Not Promises) → Fraud detection system: reduced client losses by 62% in 90 days → Demand forecasting model: cut e-commerce inventory costs by 30% → Anomaly detection in IoT sensors: prevented $2M+ in industrial downtime → Real-time surveillance AI: 99.5% accuracy for Fortune 500 security → Medical imaging AI: 95%+ sensitivity for skin cancer detection → 50+ AI products shipped across fintech, healthcare, e-commerce, and enterprise → Zero refunds. Zero failed productions. MY TECH STACK LLMs & AI: GPT-4, Claude, LLaMA-2, Mistral, Falcon, Cohere Frameworks: LangChain, LlamaIndex, HuggingFace, OpenCV, PyTorch, TensorFlow RAG & Vector DBs: Pinecone, FAISS, Weaviate, ElasticSearch, ChromaDB Full-Stack: React, Next.js, FastAPI, Node.js, Django, Flutter Cloud & MLOps: AWS SageMaker, GCP Vertex AI, Docker, Kubernetes, MLflow Data: Apache Kafka, Snowflake, BigQuery, Apache Spark, PostgreSQL THE OFFER (Why Hiring Me Is a No-Brainer) Here's what you get — and what you don't risk: ✔ Working prototype delivered in Week 1 — so you're testing results, not waiting on promises ✔ End-to-end ownership — I handle architecture, development, testing, and deployment ✔ Production-ready code — not "works on my machine" demos ✔ Free rebuild guarantee — if it doesn't meet the agreed scope after handoff, I fix it at no cost ✔ 50+ hours/week availability — full-time, flexible across time zones ✔ Plain-English communication — no jargon, no confusion, just clarity Your competitors are already integrating AI. Every week you wait is a week they pull further ahead. HOW WE START Simple. No long discovery calls. No complicated onboarding. Message me with what your app does (or what you want to build) I'll tell you in 24 hours exactly which AI features will have the biggest impact We scope it, agree on milestones, and I start Week 1 One conversation. That's all it takes to see how close you already are. LET'S TALK Message me now. I respond within minutes !. Najeeb ullah | AI Engineer | LLM & SaaS Developer | Top Rated | 50+ Products Shipped

Hi 👋 I help companies move beyond AI prototypes and build production-ready systems, especially AI Agent solutions, RAG pipelines, and LLM-powered automations that actually work in real-world environments. Recently, I built a RAG-based AI Agent that indexed thousands of documents and enabled fast, accurate semantic search across internal data, significantly improving how teams access and use information. 𝐖𝐡𝐚𝐭 𝐈 𝐭𝐲𝐩𝐢𝐜𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐝: AI Agent systems that automate workflows end-to-end Intelligent AI Agent pipelines with reliable retrieval (RAG) FastAPI-based backends powering AI Agent applications Scalable AI Agent integrations across APIs, databases, and cloud systems 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: I handle development directly (no outsourcing) and follow strict confidentiality and code ownership practices. My focus is on delivering systems that are accurate, maintainable, and production-ready, not just demos. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: Python, FastAPI, LangChain, OpenAI/Claude APIs, vector DBs, AWS/GCP, Docker If you're looking to build or scale an AI Agent system that actually performs in production, happy to connect and discuss.

Building AI that doesn’t just chat, but ACTS. I am a Senior AI/ML Engineer and Full-Stack Developer with 3+ years of experience in the AI field and a background in frontend engineering. I specialize in taking complex business processes and transforming them into production-ready, autonomous AI systems that drive real value. Whether you need a sophisticated Multi-Agent Orchestration framework, a high-performance RAG pipeline, or a Real-time Generative AI application, I build scalable solutions from architecture design to cloud deployment. Why Hire Me? Production-First Mindset: I don’t just build prototypes; I ship robust ML systems, monitor their performance, and scale them in cloud environments like AWS and GCP. Full-Stack Power: My past as a Frontend Developer means I understand the entire application lifecycle — from UI/UX constraints to complex API integrations and backend architecture. Agentic Workflows: Expert in building modular multi-agent systems using LangGraph, n8n, and MCP. 🔗 Low Latency & Real-Time: Experienced in optimizing AI models for real-time interactions, including video avatars with lip-sync and low-latency streaming. Core Expertise LLM Ecosystem: OpenAI (GPT-4o/5), LLaMa-3, Claude, LangChain, LangSmith. AI Agents & RAG: Multi-agent orchestration, Knowledge Graphs (Neo4j), Vector DBs (PostgreSQL/pgvector), and data enrichment. Backend & Automation: Python (FastAPI, Flask), n8n, Pydantic, Celery, and SQL/NoSQL databases. Frontend Tools: React.js, TypeScript, Next.js, Tailwind, and Redux. ML & Data: PyTorch, Scikit-learn, OpenCV, NumPy/Pandas, and Predictive Modeling. Featured Projects Modular AI Multi-Agent System: Designed a modular workflow engine using the MCP library and FastAPI, allowing agents to autonomously retrieve and process data from PostgreSQL and S3. Real-Time AI Video Avatar: Built a generative AI avatar with precise lip-sync and low-latency rendering for live, human-like conversations. AdTech Optimization Model: Developed a predictive ML model using XGBoost to optimize bid prices, maximizing ROI for digital ad campaigns. I am looking for long-term partnerships where I can act as a technical lead or a high-impact contributor. If you have a business process that needs automation or a fuzzy idea that needs a technical architect — let’s talk. I am comfortable taking projects from scratch or jumping into existing codebases to hit your production targets. Ready to build the future of your business? Click "Invite" to start our conversation! 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁: AI/ML Engineer, Generative AI Specialist, LLM Integration (OpenAI, Llama 3, Claude), AI Agents & Multi-Agent Orchestration, RAG (Retrieval-Augmented Generation), LangChain, LangSmith, MCP (Model Context Protocol), Computer Vision (CV), Real-Time Video Avatars, Lip-Sync Technology (SyncTalk, InfiniTalk), OpenCV, FFMPEG, WebRTC, Speech Synthesis (TTS/ASR), Full Stack Developer, Python (FastAPI, Flask), Node.js, Nest.js, Microservices Architecture, Docker, AWS Cloud Services, PostgreSQL, Redis, MongoDB, React.js, Redux, TypeScript, Next.js, n8n Automation, Predictive Modeling.

Enterprise systems demand data accuracy, architectural scalability, and strict risk mitigation. I design and deliver production-ready Document AI and Computer Vision systems that transform high-volume, unstructured data into validated corporate assets. As an AI Architect, I bridge the operational gap between heavy-duty edge detection frameworks and downstream multimodal reasoning models. My focus is on building complete, maintainable software systems designed for low latency, tight data privacy controls, and high business ROI. 🔹 Architectural Core Expertise: • Intelligent Document Processing (IDP): Engineering layout-aware parsing and data extraction pipelines for complex corporate assets (financial portfolios, regulatory compliance documents, and multi-page invoices). I implement deterministic Python validation layers to completely eliminate LLM hallucinations and enforce strict adherence to enterprise ERP rules. • High-Throughput OCR Infrastructure: Constructing distributed, GPU-accelerated pipelines using PaddleOCR, Tesseract, and custom OpenCV preprocessing arrays to reliably ingest and clean degraded, low-resolution, or non-standard visual data. • Agentic Workflows & Multimodal RAG: Integrating advanced vision-language models (GPT-4o, Claude 3.5) with orchestration layers like LangChain to build autonomous document agents capable of context-aware clause extraction, structural semantic linking, and deep document intelligence. • Real-Time Edge Vision & Analytics: Deploying next-generation YOLO architectures for high-throughput operational streams, including automated industrial defect detection and high-speed license plate recognition (ALPR). Optimized to eliminate NMS latency overhead, enabling real-time performance on low-power infrastructure without expensive GPU dependencies. • MLOps & Enterprise Integration: Developing containerized, production-grade microservices utilizing Python, PyTorch, FastAPI, and Docker seamlessly integrated into enterprise environments via n8n/Zapier automation and cloud infrastructure (AWS SageMaker / GCP Vertex AI). 🔹 Business Process Automation Through Document AI The systems I build do more than extract data; they automate document-heavy business operations end-to-end. By combining OCR, Document AI, Computer Vision, deterministic validation engines, and enterprise integrations, I help organizations eliminate manual processing, reduce operational risk, improve compliance, and transform unstructured documents into actionable business workflows. Whether processing invoices, contracts, compliance records, financial documents, or operational reports, my focus is on delivering measurable efficiency gains, higher data accuracy, and scalable automation outcomes. 🔹 Proven Industry Impact: I engineer robust, compliant AI solutions across highly regulated and operationally demanding sectors, including Finance (KYC, invoice automation, audit workflows), Legal (contract intelligence and clause analysis), Manufacturing (quality control and visual inspection), Healthcare, Compliance, and Enterprise SaaS. 🔹 The Architecture Advantage: Enterprise clients retain my services because I do not deploy isolated scripts or proof-of-concept demos. I architect sustainable, end-to-end software solutions that combine Document AI, Computer Vision, workflow automation, and enterprise integrations into production-ready systems. Backed by extensive experience leading complex technology initiatives, I maintain transparent communication with technical and executive stakeholders and remain engaged until the solution meets performance, accuracy, and operational objectives in live production environments. 👉 Strategic Planning: If you have sample datasets, technical specification documents, or complex edge stream requirements, select "Book Consultation" to schedule a 1-hour Architecture Review. We will align on the optimal model selection, latency requirements, and system design before project kick-off.

Hello! I'm an AI Developer and Automation Expert with 20+ years of experience in software development and over 5 years in Machine Learning and AI. I help businesses bring ideas to life through intelligent, automated, and highly personalized AI Solutions. Whether you need a custom AI Chatbot, an AI Assistant Development solution, or a fully integrated AI Workflow System, I deliver. I’m an AI Developer, AI Agent Builder, and Chatbot Developer with deep expertise in Automation, AI-Powered systems, and AI/ML Engineering. 🚀 What I Bring to Your Project as an AI/ML and Automation Specialist: ✅ I have 20+ years of experience in full-stack software engineering ✅ I build and integrate chatbots across popular platforms like ManyChat, Telegram, and WhatsApp to streamline customer engagement and automate communication workflows ✅ I specialize in api development, app building, automation, chatbot development, machine learning, and delivering intelligent software solutions tailored to business needs ✅ As an AI Developer, Chatbot Developer, Data Scientist, Python Developer, and Web Developer, I bring a full-stack skillset to create intelligent, data-driven web applications that deliver real business value ✅ I apply AI to areas such as animation video creation, chat, chatbot, chatbot marketing, deal closer, image recognition, job application automation, marketing, video creation, web design, and youtube automation ✅ I build intelligent automation solutions with tools like amazon seo, botpress, dialogflow, gpt, gpt-3, open ai, and nlp, and integrate them with workflows in make (integromat) and n8n I’m an AI Expert and AI Consultant who brings AI App vision to life. From AI Prototype design to AI Integration, I’ve developed Custom AI systems that drive automation, business optimization, and customer engagement through intelligent ML models. From AI Bot creation to AI Chatbot integration and AI Agent Development, I build systems using tools like LangChain, LangGraph, and OpenAI. Whether it’s a voice-based AI Assistant, a GPT-powered chat interface, or an agentic AI scenario with RAG, my AI/ML solutions are tailored for measurable impact. I deliver results through AI Workflow Automation, including n8n automation, AI Workflow engineering, and AI Integrations with Hugging Face, Pinecone, and cloud infrastructure like AWS and GCP. I’ve built AI Bots and AI Agents that support Enterprise-level needs and SaaS products. My work as an AI Architect and AI Strategy specialist covers Dataset preparation, AI/ML Model fine-tuning, Prompt Engineer work, and full-stack deployment. From Personalized recommendation pipelines to OCR, Text Extraction, Image Processing, and Computer Vision development, I handle it end-to-end. I use PyTorch, Python, and tools for AI Model Training, model evaluation, optimization, and Deployment. My deep understanding of ML pipelines, LLMs, and Multi-Agent systems enables me to build robust, Intelligent tools that solve real-world problems. As an AI/ML Backend Engineer and AI Tooling Engineer, I ensure your architecture supports future scaling. I’ve implemented automated chatbot workflows, integrated chatbot systems into marketing pipelines, and delivered Audit-ready AI Systems with high reliability. 🎯 AI Chatbot Developer for a Financial Services Platform: ✔ 5x increase in customer query resolution speed using AI Chatbot and RAG systems ✔ Reduced manual support workload by 70% with Automated AI Assistant Development ✔ Achieved 40% lead conversion rate increase through chatbot marketing and AI-driven personalization 🎯 AI/ML Engineer for a Global SaaS Platform: ✔ Decreased operational costs by 60% through end-to-end AI Workflow Automation with n8n ✔ Improved document processing accuracy by 85% with OCR + NLP + AI Model Integration ✔ 3x faster onboarding experience using AI Voice Agent and AI Chatbot powered by GPT 🎯 AI Solutions Architect for an E-Commerce Intelligence Platform: ✔ Generated 2.5x higher product recommendations accuracy with Custom AI + ML Pipeline + Image Recognition ✔ Enabled 24/7 support with a Multi-Agent chatbot system integrated across WhatsApp, Telegram, and web ✔ Boosted ROI on ad campaigns by 33% using AI/ML analytics and Automated Platform integrations As a Computer Vision Developer, AI System designer, and business automation Architect, I use reinforcement learning, LLM Integration, and analytics to design scalable, AI-Driven workflows. I’ve worked on ChatGPT-Powered systems, AI Assistant interfaces, AI lead generation, ai automation, social media marketing automation, and voice AI with cloud deployment using Kubernetes, Docker, AWS Lambda, Vertex AI. If you're building with Chat GPT, Generative AI, or exploring Vector database solutions, I can help. I design and build AI Workflow Systems that reduce cost, enhance performance, and drive business value. If you’re looking for an AI/ML Engineer or AI Consultant who builds working AI-Integrated solutions-let’s work together!

I build AI systems that actually run in production, not just demos. Most clients come to me after hitting the same issues: RAG not accurate, agents unreliable, or AI pipelines that don’t scale. That’s where I step in. I’m a Senior ML and LLM Engineer (10+ years), recently working at NexGen Cloud and Holi GmbH, where I built: ☑️Enterprise AI platforms serving 100+ clients with 99.9% uptime ☑️RAG systems (multimodal, hybrid search, real-time pipelines) ☑️AI agents connected to APIs, tools, and business workflows ☑️High-performance inference systems (sub-200ms latency, cost reduced ~40%) What I can help you with: ☑️RAG Systems (LLM + Data) PDFs, databases, internal tools → accurate retrieval (LangChain, LangGraph, pgvector, Pinecone) ☑️AI Agents & Automation Multi-step workflows, tool calling, OpenClaw-style systems ☑️LLM Systems (Production Ready) OpenAI, Claude, Gemini, structured outputs, evaluation, guardrails ☑️Backend + APIs FastAPI, Django, Node, async pipelines, Redis, scalable systems ☑️Search & Recommendations Hybrid search (BM25 + vector), ranking, personalization I’ve built systems handling 1000+ ML jobs/month and real traffic I focus on accuracy + reliability, not just “AI output” I design systems your team can actually maintain 𝐐𝐮𝐢𝐜𝐤 𝐰𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 Improved search latency and relevance by 40% Increased recommendation quality by 35% Reduced AI infrastructure cost by up to 70% If you’re building something serious with AI and want it done properly, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤.

I turn AI prototypes into revenue-generating production systems for logistics, healthcare, and e-commerce teams—without the bloat, delays, or technical debt. ⭐ TOP RATED | 100% JSS | 8+ production ML systems deployed | Available Now "Olumide's style is easy, thoughtful, and collaborative. He doesn't just execute—he thinks with you about the best approach." I'm Olumide Joseph—an engineer first, ML specialist second. I speak business outcomes before code. My clients get deployed solutions that cut costs and scale, not Jupyter notebooks that sit on laptops. Not a fit if: You need theoretical research or exploratory data analysis without a clear path to production. I build systems that ship. Recent wins: Built real-time computer vision pipeline reducing processing time 73% via TensorRT optimization Deployed demand forecasting system cutting inventory waste $200k+ annually Architected edge AI diagnostics running inference under 50ms on NVIDIA Jetson What I deliver: AI Strategy & Architecture — Problem framing to tech stack selection. Clear roadmap, zero wasted cycles. ML Model Development — Deep learning, computer vision, NLP, time-series. Models that generalize to production. Production Deployment — FastAPI microservices, Docker, AWS SageMaker/EC2/Lambda, CI/CD. Live APIs, not notebooks. Edge AI & Optimization — TensorRT, OpenVINO, DeepStream, ONNX Runtime. Real-time inference, lower cloud costs. Geospatial ML — GIS analytics, routing, spatial modeling. Location-intelligent decisions. Industries: Logistics & Transportation | Healthcare/MedTech | E-commerce & Pricing | Energy & Smart Buildings Stack: Python, PyTorch, TensorFlow, Scikit-learn | FastAPI, Docker, AWS | TensorRT, OpenVINO, DeepStream | PostgreSQL, MLOps, CI/CD Why clients stay: "He delivers quality work ahead of timelines and is very responsive. Rare combination of technical depth and reliability." "Highly recommend for machine learning and full-stack support. Our model went from notebook to production in 3 weeks." Ready to move from "AI idea" to "AI revenue"? Send your challenge—bottleneck, data situation, timeline. I respond within 24 hours with specific approach, milestones, and honest feasibility assessment. No generic pitches. No scope creep. Just clear next steps toward systems that drive your business forward.

✅ Top 1% AI Freelancer ✅ Top Rated Plus ✅ 100% Job Success Score ✅ $80K+ Earnings ✅ 90%+ Model Accuracies for Clients Over the years I have built production grade AI systems for SMBs combining LLM training, fine-tuning and deployment at scale. Here's what I deliver: ✔️ ML Model Training: High performance pipelines that deliver accuracy using scikit-learn stack for e-commerce, healthcare, fintech. ✔️ LLM Fine-Tuning: Domain specific LLM fine-tuning using PyTorch, HuggingFace transformers that solve benchmarks and allow you to ship intelligence to users. ✔️ Inference Optimization: Deploy the LLMs on NVIDIA clusters (H100, H200, B200) such that they sustain the production load of long LLM chats using SGLang, vLLM, Tensor-RT and Nvidia Dynamo ✔️ RAG Solutions: Help reduce the model costs and improve the model efficiency using Milvus, Qdrant, Embedding models, LangChain and LangGraph. ✔️ Data Engineering: High-throughput pipelines for warehouses using Kafka, BigQuery, Prometheous, SQL and Python. ✔️ Crypto AI: Bots that continously read the market signals and make trading decisions based on the LLMs and in-house ML models. ✔️ Fintech: AI solutions powered by Claude, Qwen, DeepSeek that solve taxation problems for personal taxes. ⭐ Recent Client Feedback "He cleaned up training artifacts (models, calibrators, label maps, vendor vocab), helped us get an acceptance bar we can trust. He handled data engineering + deployment details without drama. We shipped on his work. Strongly recommend and would hire again." Let's have a FREE consultation call to understand your requirements and you get a production level roadmap for your problem.

I am a Machine Learning Engineer, I have over 3 years of experience in the Python language, I worked as a Computer vision and Machine learning engineer in R&D department in AI team at Longevity company, and I also have over 2 years of experience in deploying Machine learning Models and applying techniques including: • NNs (Neural Networks) • CNNs (Convolutional Neural Networks) • RNNs (Recurrent Neural Networks) • LSTMs (Long Short-term Memory) • GANs (Generative Adversarial Networks) I use ML frameworks and libraries to deploying and training models such as: • TensorFlow • PyTorch • NumPy • Pandas • Keras • Sci-kit learn • OpenCV • Matplotlib Over the past four years, I have gained programming skills like Python programming, C programming. Also, I have experience with Machine Learning, Computer vision, Deep Learning and I worked on multiple practical projects such as classification systems, object detection, object tracking systems, OCR systems, image recognition systems, Sentiment Analysis, and Recommendation Systems.