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🥇 AI Engineer & Data Scientist | 1+ Year Experience I’m an AI Engineer and Data Scientist passionate about building intelligent, automated, and data-driven systems that solve real-world problems. With expertise in Machine Learning, Generative AI, NLP, Computer Vision, and workflow automation, I help startups and enterprises create AI solutions that scale and deliver measurable impact. What I Can Deliver ➤ AI Agents & Chatbots • RAG-based multi-PDF and document Q&A systems using LangChain, FAISS, HuggingFace, and Gemini AI • Custom AI agents and chatbots powered by OpenAI, GPT, Claude, and Mistral • Voice and calling agents with Retell AI and real-time API integrations • CRM & email automation integrated with Slack, Gmail, and HubSpot ➤ Computer Vision & Image Analysis • Deep learning-based image classification, object detection, and feature extraction • Convolutional Neural Networks (CNNs), transfer learning, and data augmentation for high-accuracy predictions • Real-time image processing deployed with Flask/Django apps • Projects include pet image classification, facial attribute detection, and AI-based image analytics ➤ Workflow Automation & Orchestration • Intelligent automation pipelines using Python, n8n, Make.com, and Zapier • Lead management, reporting, and data syncing workflows • API, database, and CRM integrations to automate repetitive tasks ➤ Machine Learning & Data Science • NLP, deep learning, predictive modeling, and feature engineering • LLM fine-tuning (BERT, GPT, HuggingFace Transformers) • Recommendation systems, forecasting, and regression models • Model deployment with Flask, FastAPI, Django, and Docker ➤ Data Engineering & Business Intelligence • ETL processes, SQL pipelines, and cloud integration (Azure) • Real-time dashboards and analytics using Power BI & Tableau • Data-driven reporting and KPI tracking Technical Skills Python, Flask, Django, JavaScript, HTML, CSS, OOP NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace, FAISS, OpenAI API, NLP, RAG, Computer Vision n8n, Make.com, Zapier, Retell AI, API Integrations, Workflow Automation SQL, ETL, REST APIs, Web Scraping, Azure, Docker Git, GitHub, Jupyter Notebook, Google Colab, VS Code I specialize in building AI systems that automate processes, analyze visual and textual data, deliver actionable insights, and enhance business efficiency. 📍 Available for short-term & long-term projects | NDA-Compliant | Reliable & Collaborative

I am building AI products, Agentic AI systems, and scalable SaaS applications from idea to production. Hi, I'm Abubakar Majid, an 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with 3+ years of experience delivering AI-powered products, automation systems, and modern web applications for startups, founders, and businesses worldwide. I specialize in combining Generative AI, Agentic AI, LLMs, and modern full-stack technologies to create intelligent software that automates workflows, improves productivity, and scales efficiently. I work across the entire product lifecycle, including architecture, frontend development, backend APIs, AI integrations, cloud deployment, and production optimization. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ✅ AI SaaS Platforms ✅ AI Agents and Multi-Agent Systems ✅ Custom GPT Applications ✅ AI Chatbots with Memory and RAG ✅ Workflow Automation Systems ✅ AI Content Generation Platforms ✅ Document Processing and Knowledge Systems ✅ Internal Business Tools ✅ Startup MVPs and Production SaaS Products ✅ SEO-Optimized Web Applications 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 Agentic AI Development Design and build autonomous AI agents capable of planning, reasoning, tool usage, and multi-step execution using modern agent frameworks. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, LangChain, CrewAI, OpenAI Agents SDK, OpenAI Responses API, MCP Servers, Multi-Agent Architectures Generative AI and LLM Applications Develop production-ready AI products powered by large language models and advanced prompting strategies. 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: RAG Systems, Structured Outputs, Function Calling, Tool Use, Memory Systems, Context Management, Document Understanding, AI Assistants AI Automation and Workflow Systems Build intelligent automations that reduce manual work and improve business operations. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: n8n, Make, Zapier, API Integrations, CRM Automation, Lead Processing, Document Automation, Email Workflows Full-Stack Development Develop fast, scalable, and maintainable web applications with modern frontend and backend technologies. 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: Next.js, React, TypeScript, Tailwind CSS, Zustand, React Query, Server Components, SSR, SEO Optimization Backend: FastAPI, Node.js, Express.js, PostgreSQL, Supabase, MongoDB, Authentication Systems, REST APIs 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Deploy AI systems and scalable applications to production environments with monitoring and optimization. Technologies: Docker, Vercel, AWS, DigitalOcean, CI/CD, Reverse Proxies, Background Jobs, Queue Systems, Logging, Monitoring 𝐒𝐨𝐦𝐞 𝐨𝐟 𝐦𝐲 𝐰𝐨𝐫𝐤 AI Writing Platform Built an AI-powered writing platform featuring AI agents, content generation pipelines, scalable APIs, and SEO-focused frontend architecture. Stack: OpenAI, LangGraph, FastAPI, Supabase, Next.js, Docker AI Detection SaaS Platform Developed a complete AI SaaS application including frontend, backend, authentication, payment integration, and deployment infrastructure. Stack: GPT Models, FastAPI, Supabase, Next.js, PostgreSQL, Vercel AI Review Analytics System Created NLP pipelines for sentiment analysis, topic clustering, review classification, and business intelligence reporting. Stack: Python, Pandas, spaCy, Machine Learning Actor Portfolio Platform Built responsive, high-performance user interfaces optimized for SEO, accessibility, and user experience. Stack: Next.js, TypeScript, Tailwind CSS 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 SaaS Startups AI Startups E-commerce Businesses Marketing Agencies Content Platforms Education Technology Productivity Software Internal Enterprise Tools Technologies AI and Machine Learning OpenAI, GPT Models, LangChain, LangGraph, CrewAI, Hugging Face, Transformers, PyTorch, TensorFlow, Scikit-learn, RAG, Vector Databases, Embeddings Databases and Search PostgreSQL, Supabase, MongoDB, Pinecone, FAISS, Vector Search Backend FastAPI, Node.js, Express.js, REST APIs, Authentication, Webhooks, Payment Integrations Frontend React, Next.js, TypeScript, Tailwind CSS, Responsive Design, SEO Optimization DevOps and Cloud Docker, AWS, DigitalOcean, Vercel, CI/CD, Linux Servers, Monitoring 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ✔ End-to-end ownership from idea to deployment ✔ Strong AI and full-stack engineering expertise ✔ Scalable and maintainable architecture decisions ✔ Clear communication and reliable delivery ✔ Startup-friendly and business-focused approach ✔ Long-term support for growth and scaling Whether you need an AI SaaS MVP, AI agents, automation systems, LLM applications, or a complete full-stack product,𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐢𝐝𝐞𝐚 𝐢𝐧𝐭𝐨 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧. 𝐋𝐞𝐭'𝐬 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫.

🏆 Certified Data Scientist and ML Engineer with a proven track record in developing robust machine learning, deep learning, computer vision, and audio processing solutions. 🎯 Efficient, Timely, and Results-Driven Services in the Following Fields: ☑ 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 • Processing images and videos, including frame extraction. • Creating clean datasets for model training and testing. • Building object detection models from scratch. • Transfer learning and model fine-tuning. • Hyper-parameter optimization. • Evaluating models with real-world data. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, OpenCV, PIL, Scikit-learn ☑ 𝗔𝘂𝗱𝗶𝗼 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Processing raw audio files and cleaning noise. • Generating spectrograms, mel-spectrograms, and MFCCs. • Creating and fine-tuning audio classification models. • Utilizing transfer learning for improved performance. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, Librosa, Matplotlib, Scikit-learn ☑ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Balancing datasets and removing irrelevant samples. • Conducting exploratory data analysis. • Extracting business and scientific insights. • Visualizing data with scientific plots and diagrams. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn ☑ 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Expertise in image processing, including medical imaging (e.g., mitosis detection in WSI). • Building and fine-tuning DL models. • Deploying models into applications using transfer learning. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Tensorflow, Numpy, Matplotlib, YOLO, OpenCV, Laravel, PHP I am committed to transparent communication and timely delivery of results. I strive to exceed client expectations and ensure satisfaction. Feel free to contact me to discuss potential collaborations. I look forward to working with you! Thank you! 🙏🏼😊

I am a Ph.D. Data Scientist and Machine Learning, Deep Learning, CV, and NLP Engineer with more than SEVEN years of hands-on experience. With the help of my experience, I can quickly help you with your project, task, research, or understanding. Below is my described portfolio. EXPERTISE: - Data Science - Data Analysis - Machine Learning - Deep Learning - Large Language Models - Algorithms Designing - Problem-Solving - Research - Technical Writing DOMAIN APPLICATIONS: - Computer Vision (Both images and videos) - Medical Image Processing - Natural Language Processing - Signal Processing - Bioinformatics LANGUAGES: - Python - MATLAB - R - C/C++ TOOLS: - Jupyter Notebook/Colab - Spyder - PyCharm - VS Code - MATLAB - WEKA - Overleaf - GitHub LIBRARIES: - Keras/Tensorflow - PyTorch - HuggingFace - Scikit-Learn - Pandas - Plotly EDUCATION: - Ph.D. (Deep Learning) - MS (Machine Learning) - BS (Computer Engineering)

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

I help startups, SaaS companies, and e-commerce brands turn data and AI into real business results — smarter predictions, faster automation, and high-impact AI content. With 100% Job Success across 26 projects on Upwork, I deliver production-ready solutions across five high-growth AI and data disciplines: MACHINE LEARNING ENGINEERING I design, train, and deploy predictive models for churn prediction, demand forecasting, lead scoring, recommendation engines, and anomaly detection. Stack: Python, Scikit-learn, XGBoost, PyTorch, TensorFlow, MLflow. DATA SCIENCE & ANALYTICS End-to-end data pipelines, exploratory analysis, experiment design (A/B testing), KPI dashboards, and clear reports that non-technical teams can act on. Tools: Python, Pandas, NumPy, SQL, Matplotlib, Seaborn. AI & PROMPT ENGINEERING I build LLM-powered workflows, RAG chatbots, and multi-agent systems using GPT-4/4o, Claude, LLaMA, LangChain, Hugging Face, and vector databases (Pinecone, ChromaDB, Neo4j). Prompt libraries, FAQ bots, research copilots, and AI-driven content automation integrated with your existing tools (Slack, Notion, Shopify, CRM). AI VIDEO SPECIALIST I produce AI-generated video content — product explainers, training modules, and social media clips — using AI avatars, voice synthesis, and prompt-driven scripts. AI video grew 329% year over year on Upwork in 2025 and I stay current with the latest tools to deliver fast, scalable content packages. CYBERSECURITY-AWARE AI SYSTEMS I build AI and ML solutions with security best practices baked in — controlled data access, secure API usage, and audit-friendly pipelines aligned to your organization's policies. TYPICAL DELIVERABLES - ML models: forecasting, classification, regression, anomaly detection - NLP pipelines: sentiment analysis, topic modeling, document Q&A - LLM apps: RAG chatbots, AI agents, prompt libraries, workflow automation - AI video: short-form clips, product demos, training videos - Dashboards and reports stakeholders can use without a data background Why clients work with me again: 100% Job Success | Clear communication | Business-first thinking | Fast turnaround Share your goal and I will propose a concrete plan with timeline, deliverables, and milestones.