Hire the Best Keras Professionals

I’m a Machine Learning & Backend Engineer with a strong background in AI, data analytics, and software development. I have hands-on experience building intelligent systems ranging from deep learning models with MobileNetV2 for image classification to reinforcement learning for medical diagnosis support systems. 🔹 What I can help you with: • Machine Learning & Deep Learning: Model training, evaluation, and deployment (XGBoost, Random Forest, TensorFlow, MobileNetV2, BERT). • Computer Vision & NLP: Image classification, data augmentation, OCR, and text analytics. • Backend Development: API design with FastAPI, scalable data pipelines, and cloud integration. • Data Analytics: Data preprocessing, visualization, and predictive modeling. • Healthcare & AI Research: Clinical decision support systems (AI-CDSS), medical data pipelines, and published research (IEEE Scopus Indexed). 💼 Highlights: • Built BerryCare, an AI-powered strawberry disease detection app (MobileNetV2 + FastAPI, Hybrid Edge AI & Cloud). • Currently working at GreyDx (Singapore), developing AI models and backend systems for a Clinical Decision Support System. • Authored and presented a research paper on deep learning at IEEE IAICT 2025. • Holder of 25+ professional certifications (Stanford, DeepLearning.AI, Google, Huawei, etc.). I combine strong technical skills with creativity and collaboration, ensuring every solution is both innovative and practical. If you’re looking for someone who can deliver end-to-end AI/ML solutions or backend systems, I’m here to help. 🚀 Let’s bring your ideas to life with data-driven solutions!

🚀 AI/ML Engineer | Deep Learning | LLMs | FastAPI | Streamlit | RAG Pipelines I’m Aryan Saini, a final-year B.Tech student with 2+ years of hands-on experience building intelligent systems using Python, PyTorch, and modern MLOps tools. I specialize in developing full-stack AI applications—from training custom deep learning models to deploying them via scalable APIs and interactive dashboards. 🔍 What I Can Do for You: • Build and deploy deep learning models (NLP, CV, audio) • Architect RAG pipelines & multi-agent LLM workflows • Integrate HuggingFace, Groq API, OpenAI, and custom fine-tuned models • Develop backend APIs using FastAPI or Express • Create modern UIs with Next.js + Tailwind (Streamlit for quick dashboards) • Deploy on AWS, Vercel, Render, or Docker 🛠️ Key Tools & Frameworks: Python, PyTorch, Transformers, LangChain, FastAPI, Streamlit, Docker, MongoDB, PostgreSQL, OpenAI, Groq, HuggingFace, Tavily, AWS EC2/S3 📌 Highlighted Projects: • ASTRALEARN – AI-powered study planner with LLM agents, RAG search, PDF chatbot • VoxAI – Voice cloning & speech synthesis with TTS/VC models (StyleTTS2, SeedVC) • Multimodal Sentiment Analyzer – Video-based emotion recognition system • Sign Language Recognizer – Real-time gesture classification using CNN + LSTM ✅ Why Hire Me? I’m proactive, fast with iterations, and can take your idea from concept to a fully working AI product. Whether you need help with a proof of concept, research prototype, or a production-grade app, I bring strong technical depth and clean execution. Let’s collaborate to turn your AI vision into reality!

Summary: ✅ Founder, co-owner, and portfolio manager of a 6-figure private investment fund LLC ✅ Air Force veteran ✈️ ✅ I specialize in programming trading bots 🤖 (equities, options, futures, crypto), hooking them up to brokerage accounts, creating webpage dashboards for them, integrating them with databases, deploying them into the cloud, and related financial automation jobs to include copy-trading, back-testing, email/text alerts, TradingView / TrendSpider webhooks, order forms, order routing scripts, sentiment analysis (like on r/WallStreetBets), scanners/screeners, as well as web scrapers ✅ 100% independent, no agencies, no bureaucracy ✅ A truly full-stack, end-to-end solution for all things algorithmic trading / quant development ✅ Better value than what you might find on TradersPost.io, OptionAlpha.com, Composer.trade, Surmount.ai, SignalStack.com, WhisperTrades.com, TradeSteward.com, Capitalise.ai, MachineTrader.io, etc. Most of my clients pay under $20 in ongoing monthly fees to maintain their systems, with no limits on amount of capital invested or number of asset classes ✅ Joined Upwork in Nov 2021; obtained TOP RATED badge in Sep 2022; surpassed $100k earnings in Dec 2024; obtained TOP RATED PLUS badge in Jul 2025 Relevant education background: 📜 Dual M.S. Finance and M.S. Business Analytics, University of Dallas, 2023 📜 Certificate in Data Science, Southern Methodist University, 2024 Stock brokerage APIs: 🏛️ Alpaca 🦙 🏛️ Charles Schwab 🏊‍♂️ 🏛️ Etrade *️⃣ 🏛️ Lime Financial 🍋‍🟩 🏛️ Public.com 🗽 🏛️ SnapTrade 🫰 🏛️ TastyTrade 🍒 🏛️ TradeStation 🚉 🏛️ Tradier ↗️ 🏛️ Tradovate 🗠 Crypto APIs: 🪙 Coinbase 💠 🪙 Crypto.com 🦁 🪙 Gemini ♊ 🪙 Jupiter 🪐 🪙 Kraken 🦑 🪙 OKX ⬛ 🪙 Robinhood 🪶 Programming languages: 💻 Python 💻 HTML 💻 CSS 💻 Javascript 💻 Google Apps Script (Google Sheets) 💻 VBA (Microsoft Excel) 💻 SAS Trading languages (read-only proficiency): 📈 EasyLanguage 📈 Pinescript 📈 Thinkscript 3rd party market data services: 📊 DataBento 📊 Financial Modeling Prep 📊 Massive (formerly Polygon) 📊 TwelveData Web development frameworks: 🌐 Flask 🌐 Plotly Dash 🌐 Streamlit Databases: 💾 Firebase 💾 MongoDB 💾 SQLite Cloud platforms: ☁️ Fly.io ☁️ GCP (Google Cloud Platform) ☁️ Heroku (Salesforce) ☁️ Linode ☁️ Python Anywhere ☁️ Railway ☁️ Render Email/texting notification services: 🛎️ ClickSend / Sinch 🛎️ Discord 🛎️ Slack 🛎️ Telegram 🛎️ WhatsApp 🛎️ Twilio / SendGrid 🛎️ Twitter / X 🛎️ Vonage / Nexmo Software: ⭐ Power BI ⭐ Tableau Recent real-world jobs done for Upwork clients: 👏 Created a webpage which enables multiple users to ability to make their own bots with no code, includes parameters such as entry time, exit time, position sizing, number of legs, etc. 👏 Executed an iron condor strategy with multiple stop losses, profit takes, and futures hedging 👏 Taught a client with almost no prior Python knowledge how to program his own multileg options bot and implement it on a brokerage with error handling features in under 50 hours 👏 See the portfolio section on my profile for more Other relevant experience: 💯 I programmed my own algorithmic trading bot that I run daily using my own real money. I do not sell my own bot, but I will make yours FAQ: ❔Do you sell pre-made bots? ↪️ While I do sell pre-made templates, I don't sell pre-made strategies. If you want pre-made strategies, then head on over to collective2.com ❔How much money will my bot make? ↪️ Whether or not your bot makes money will depend largely on the requirements I am provided. I don't make any guarantees ❔Do you have experience with X? ↪️ While I am constantly adding to my skillset, here's a list of things that at this time I have no experience with: AFL/Amibroker, AWS, Azure, blockchain, Bloomberg, cTrader, DAS Trader, DeFi/DeX, Django, eSignal, FastAPI, FIX, FTMO, Interactive Brokers TWS, Keras (or any deep learning), MT4/MetaTrader 4, neural networks, NinjaTrader, NodeJS, Postgres, prop accounts (APEX, TopStep, etc.), React, TypeScript, Zapier ❔How much will this cost? ↪️ My project minimum is 5 hours / $500. My largest job has been for $40,000. My average job is $3000. All my earnings data is displayed publicly on my profile because I have nothing to hide. I've never had any feedback removed like other freelancers often do ❔How long will it take? ↪️ My average project takes 3-4 weeks. My smallest projects take 1 week. My largest projects take 2+ months ❔Can you build on my existing codebase? ↪️ I generally prefer to start from scratch, but this may be possible ❔When are you available to speak with me? ↪️ Please book a consultation if you wish to speak synchronously (phone/video calls). My typical hours are 10am-10pm CST, 7 days a week. I don't offer free synchronous time due to high invite volume. I will answer text messages usually within 24 hours

𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐚𝐧𝐝 𝐓𝐮𝐭𝐨𝐫 | 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝐋𝐚𝐫𝐠𝐞 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌𝐬) 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐑𝐚𝐠 𝐚𝐧𝐝 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 | 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 | 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠 , 𝐈’𝐦 𝐕𝐢𝐠𝐧𝐞𝐬𝐡𝐰𝐚𝐫𝐚𝐧 𝐚𝐧 𝐀𝐈 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐨𝐫 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐢𝐦𝐩𝐚𝐜𝐭 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐝𝐞𝐞𝐩 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐚𝐧𝐝 𝐋𝐋𝐌𝐬. 𝐈’𝐯𝐞 𝐛𝐮𝐢𝐥𝐭 𝐜𝐮𝐭𝐭𝐢𝐧𝐠-𝐞𝐝𝐠𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬, 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡-𝐟𝐫𝐞𝐪𝐮𝐞𝐧𝐜𝐲 𝐭𝐫𝐚𝐝𝐢𝐧𝐠, 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐥𝐲 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞 𝐭𝐡𝐞𝐢𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐑&𝐃 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 🚨 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 ✅ 𝐅𝐮𝐥𝐥-𝐭𝐢𝐦𝐞 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 — 𝟓𝟎+ 𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 | 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐜𝐫𝐨𝐬𝐬 𝐚𝐥𝐥 𝐭𝐢𝐦𝐞 𝐳𝐨𝐧𝐞𝐬. ✅ 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩 — 𝐟𝐫𝐨𝐦 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐫𝐨𝐛𝐮𝐬𝐭 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐭𝐨 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐋 𝐦𝐨𝐝𝐞𝐥𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝. ✅ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 — 𝐧𝐨 𝐦𝐨𝐫𝐞 “𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐥𝐚𝐛, 𝐟𝐚𝐢𝐥𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧.” 𝐌𝐲 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐦𝐚𝐢𝐧𝐭𝐚𝐢𝐧 𝟗𝟗.𝟗% 𝐮𝐩𝐭𝐢𝐦𝐞 𝐚𝐧𝐝 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐦𝐩𝐚𝐜𝐭. 𝐝𝐨𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐦𝐨𝐝𝐞𝐥𝐬 — 𝐈 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬𝐥𝐲 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬, 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲. 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 ✅ 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐮𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐋 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 𝐭𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐧𝐞𝐞𝐝𝐬. ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 — 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐝𝐚𝐭𝐚 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐬𝐭𝐨𝐫𝐞𝐬, 𝐚𝐧𝐝 𝐄𝐓𝐋 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐟𝐨𝐫 𝐡𝐢𝐠𝐡-𝐯𝐨𝐥𝐮𝐦𝐞, 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. ✅ 𝐂𝐥𝐨𝐮𝐝 & 𝐌𝐋𝐎𝐩𝐬 — 𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐌𝐋 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐀𝐖𝐒 | 𝐆𝐂𝐏 | 𝐀𝐳𝐮𝐫𝐞, 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐚𝐧𝐝 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐟𝐨𝐫 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲. ✅ 𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 — 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐋𝐋𝐌𝐬, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐍𝐋𝐏, 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐭𝐨 𝐩𝐮𝐬𝐡 𝐭𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐞𝐫𝐚 𝐨𝐟 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. ✅ 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 — 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐜𝐮𝐭𝐭𝐢𝐧𝐠-𝐞𝐝𝐠𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐞𝐯𝐞𝐫𝐲 𝐦𝐨𝐝𝐞𝐥 𝐞𝐯𝐨𝐥𝐯𝐞𝐬 𝐰𝐢𝐭𝐡 𝐧𝐞𝐰 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐫𝐞𝐧𝐝𝐬. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ✅𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐌𝐋 & 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 — 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧/𝐫𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐚𝐧𝐝 𝐒𝐜𝐢𝐤𝐢𝐭-𝐥𝐞𝐚𝐫𝐧. ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐓𝐋 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐩𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐟𝐨𝐫 𝐡𝐢𝐠𝐡-𝐯𝐨𝐥𝐮𝐦𝐞 𝐚𝐧𝐝 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🏴󠁣󠁬󠁡󠁩󠁿 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 — 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐂𝐍𝐍𝐬, 𝐑𝐍𝐍𝐬, 𝐋𝐒𝐓𝐌𝐬, 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐕𝐢𝐬𝐢𝐨𝐧/𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. 🏴󠁣󠁬󠁡󠁩󠁿 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐍𝐋𝐏 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐢𝐦𝐚𝐠𝐞 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧, 𝐨𝐛𝐣𝐞𝐜𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧, 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧, 𝐭𝐞𝐱𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧, 𝐬𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐚𝐧𝐝 𝐋𝐋𝐌 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧. 𝐋𝐋𝐌 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫-𝐁𝐚𝐬𝐞𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 — 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐆𝐏𝐓, 𝐋𝐋𝐚𝐌𝐀, 𝐁𝐄𝐑𝐓, 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐞𝐧𝐜𝐨𝐝𝐞𝐫, 𝐝𝐞𝐜𝐨𝐝𝐞𝐫, 𝐚𝐧𝐝 𝐞𝐧𝐜𝐨𝐝𝐞𝐫-𝐝𝐞𝐜𝐨𝐝𝐞𝐫 :

I'm an AI/ML Engineer with hands-on experience building machine learning solutions — from raw, messy data all the way to a working, evaluated model. My work covers the full pipeline: cleaning and preprocessing data, building and tuning models, evaluating performance, and making sure everything is well-structured and easy to hand off. I've processed datasets with over a million records, built NLP-based detection systems, developed computer vision applications using pose estimation and image processing, and created data analysis reports with clear visual insights. I write clean, organized Python code — not just code that runs, but code that makes sense when you open it six months later. I take deadlines seriously and keep clients updated throughout the project so there are no surprises.My core skills include Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLP, Computer Vision, Image Processing, MLOps, Azure ML, Django, and Git. I hold a certification in Artificial Intelligence and Quantum Computing from Egypt's Ministry of Youth and I'm currently completing an applied ML program with DEPI. If you need someone who communicates clearly, writes solid code, and genuinely cares about delivering something that works — I'd be glad to work with you. What I can help you with: ML Model Building Data Analysis & Visualization NLP Computer Vision MLOps & Deployment Python Scripting

Greetings! I specialize in AI & Machine Learning, Data Science, and MLOps, crafting scalable solutions that turn data into powerful insights and real-world impact. Skills: 🎯 Highly skilled in Python, with extensive experience in machine learning, deep learning, and AI. 🎯 Proficient in data extraction using Scrapy and BeautifulSoup. 🎯 Experienced in working with NLP tasks using spaCy, NLTK, and Hugging Face. 🎯 Skilled in Generative AI and using models like Transformers, DALL-E, CLIP, Stable Diffusion, and Vision Transformers (ViT). 🎯 Advanced in machine learning algorithms, including XGBoost, LightGBM, Scikit-Learn, and TensorFlow. 🎯 Highly skilled in working with time series data and models like LSTM, Pandas, and XGBoost. 🎯 Proficient in Data Science and Data Visualization, with hands-on experience in Pandas, Numpy, Matplotlib, Seaborn, Plotly, and Dask. 🎯 Experienced in using MLOps tools like MLflow, DVC, TensorBoard, and BentoML for model management and deployment. 🎯 Proficient in SQL & NoSQL databases, including PostgreSQL, MySQL, and MongoDB. 🎯 Skilled in cloud computing and deployment, including AWS, Docker, Kubernetes, and SageMaker. 🎯 Skilled in CI/CD practices, version control using Git and GitHub. 🎯 Comfortable working on both Linux (Ubuntu) and Windows Operating Systems. Data Exploration & Visualization: 🎯 Streamlit for creating dynamic data applications. 🎯 Power BI and Tableau for building interactive and professional dashboards. Tools: 🎯 VSCode, Jupyter Notebook, GitHub, Trello, Microsoft To-Do, Teams, Zoom, and Slack for efficient collaboration and project management.