An AI/ML engineer with more than three years of experience and expertise in the field of Machine Learning, Deep Learning, NLP and Computer Vision. I am also a Kaggle Competitions Master and Notebook Expert. I have won 1 gold, 6 silver and 5 bronze medals in various competitions. I bring the best AI solutions out there to every problem of my client. Area of expertise: - Generative AI and RAG-based applications - Computer Vision - Image Classification - Object Detection - Facial Recognition - Action Detection - Emotion Detection - Image Segmentation - 3D Image Classification - Natural Language Processing - Sentiment analysis - Entity extraction from a text - Text classification - Text analysis, tokenization, lemmatization, POS tagging, dependency trees - Unsupervised clustering of text - Outliers detection - Topic Modeling - Text similarity - Time series analysis - Text Visualization Skills: - Machine Learning/Deep Learning libraries: scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, jupyter Notebook, Anaconda, Keras, PyTorch - Machine Learning algorithms: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Naive Bayes, KNN, Decision Tree, Random Forest, Gradient Boosting, Principal Component Analysis (PCA), KMeans, Agglomerative Clustering - Deep Learning Algorithms: Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3, GPT-2 - NLP: NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers - Programming languages: JavaScript, Python - Collaboration and work management tools: Jira, Confluence, Trello, Basecamp - Cloud Computing and Containers: Docker, Google Cloud, AWS - Database Technologies (relational and non-relational): Microsoft SQL Server, Oracle, PostgreSQL, MongoDB (NoSQL) Moreover, I have built many end-to-end applications in ML in my past projects. Some of these can be seen in my portfolio. I am hard-working and passionate about solving the client's hunger for AI solutions. I am a quick learner with a problem-solving attitude, always interested in making long-term professional relationships with my clients to ensure the successful completion of the task within a deadline. I am ready to work on a wide range of projects including Predictive Analytics and reinforcement Learning.

⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.

I’m a Machine Learning & Deep Learning Engineer specializing in Computer Vision and NLP, building production-ready systems for image, document, and text automation. I help businesses extract value from images, scanned documents, and unstructured text using reliable ML solutions. With a Computer Science degree, I apply strong software engineering fundamentals to deliver accurate, maintainable ML systems — not just experiments. 🔹What I Can Help You With • Computer Vision – image classification, object detection, visual inspection • OCR & Document Processing – invoices, forms, PDFs, scanned documents • Natural Language Processing (NLP) – text classification, information extraction, text analytics • Deep Learning Models – CNNs, sequence models, attention-based architectures • End-to-End ML Pipelines – data → model → evaluation → deployment 🔹 Relevant Work • Built OCR + NLP pipelines for extracting structured data from documents • Developed computer vision models for real-world image datasets • Implemented NLP models for classification and text extraction • Designed ML pipelines optimized for performance and scalability 🔹TOOLS & TECH Python, NumPy, Pandas Scikit-Learn TensorFlow, PyTorch OpenCV, YOLO CNN architectures NLP pipelines, text preprocessing Model deployment (API-ready)

Hi there! I am an AI ML Lead, Senior Engineer and Developer with over 6 years of experience in designing and implementing cutting-edge AI solutions across various industries and specializing in Natural Language Processing ( NLP ), Large Language Models ( LLM ), Retrieval-Augmented Generation ( RAG ), and Agentic AI. My expertise extends to developing advanced AI-driven medical applications, leveraging state-of-the-art machine learning techniques to drive innovation and efficiency. Passionate about transforming complex challenges into scalable, real-world AI solutions. Brief summary: - have a strong background in mathematics; - implemented ML algorithms for business; - worked on R&D projects; - deployed models to production and monitoring it; - always enhance knowledge in the state-of-the-art AI techniques and read researchings - architecture-oriented, follow best practices to create scalable and mature products - strong organizational, problem-solving and analytical thinking - excellent communication and negotiation skills Domains: - Computer Vision - Natural Language Processing - Data Science - Reinforcement Learning - Generative AI Programming languages and frameworks: Python, Tensorflow, Pytorch, Scikit-learn, Pandas, Numpy, OpenCV, AWS, Flask, Docker. If you are looking for a reliable, creative and experienced AI professional, you have come to the right place - I will eagerly become your longtime partner. Let’s start working together!

🚀 Computer Vision | NLP | AI Engineer | Machine Learning & Deep Learning | AI SaaS & Automation Bringing AI-Powered Innovation to Enterprises I am an AI engineer with over 11 years of experience in developing deep learning solutions, natural language processing, and computer vision. My journey in AI started more than a decade ago, working on advanced projects that helped businesses automate processes, analyze data, and make smarter decisions. Four years ago, I joined Upwork to offer my expertise globally, successfully delivering impactful projects in areas such as: ✅ Text classification and sentiment analysis using advanced NLP models ✅ AI-driven cybersecurity solutions for IoT network traffic analysis ✅ Medical image analysis using CNN-based models for enhanced diagnostics I took the challenge. I optimized the dataset, fine-tuned an Arabic NLP model, and streamlined the preprocessing pipeline. Within days, the classification accuracy improved significantly, and the client was thrilled. Soon, larger companies started noticing my work. Then came a cybersecurity firm struggling with IoT traffic vulnerabilities. Their system was unable to detect threats effectively. I built a CNN-based model that analyzed real-time network traffic, improving threat detection accuracy by 40% while reducing false positives. Another client, a healthcare startup, faced challenges in medical image analysis. I developed a deep learning model using CNNs for ultrasound image quality assessment, ensuring reliable diagnostics. This solution reduced errors and improved medical imaging workflows. One of my most demanding projects involved incremental learning for AI models. The challenge was to update a deep learning model with new data without forgetting previous knowledge. By implementing advanced transfer learning techniques, I ensured the model retained past insights while adapting to new patterns. That $50 project was more than just a small job—it set me on a path to solving complex AI problems and driving impactful innovation. And this? It’s just the beginning. Now, We Build AI Solutions for Enterprises Worldwide Today, I lead a team of AI specialists, delivering state-of-the-art solutions in machine learning, deep learning, NLP, and computer vision. We help businesses leverage AI to optimize operations, automate workflows, and gain actionable insights from data. What We Build 💻 AI-Powered SaaS Platforms – Scalable solutions for high-performance applications 🤖 AI Automation & AI Agents – Smart AI-driven automation to reduce costs & enhance efficiency 📊 Predictive Analytics & Data Science – Transforming raw data into business intelligence 🔍 Computer Vision & Image Analysis – AI models for real-time image recognition & processing 📝 Natural Language Processing (NLP) – Sentiment analysis, text classification, and chatbots 🔐 Enterprise Security & AI Compliance – Ensuring robust cybersecurity with AI-driven solutions AI Automation Services 🚀 AI-Driven Workflows Powered by Python, TensorFlow, and PyTorch 🔹 Automated Text Analysis – AI-driven document classification & sentiment analysis 🔹 Cybersecurity Automation – AI models for anomaly detection in IoT network traffic 🔹 Medical AI – Deep learning for medical image quality enhancement & analysis 🔹 AI-Based Chatbots – Intelligent virtual assistants for seamless customer interaction 🔹 Computer Vision for Industrial Automation – AI models for defect detection & quality control Real-World Impact 🚀 3X Efficiency – AI models optimizing processes & reducing manual workload 📊 40% Cost Reduction – AI automation improving business scalability 📈 30% Higher Accuracy – Advanced ML models for data-driven decision-making 🔐 100% Compliance – AI-powered security ensuring regulatory standards Tech Stack 🔹 Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Keras 🔹 NLP: Transformers, BERT, AraBERT, GPT, spaCy 🔹 Computer Vision: OpenCV, YOLO, Detectron2 🔹 Big Data & Cloud: AWS, Google Cloud, Kubernetes 🔹 Development: Python, Flask, FastAPI, Django 🔹 AI Automation: Zapier, n8n, custom AI workflows We collaborate with enterprises, startups, and research teams to build AI-powered solutions that drive innovation and efficiency. 📩 Let’s Build Something Great! If your business needs AI-powered automation, deep learning models, or cutting-edge data solutions, let’s connect. Send me a message today! Keywords AI Engineer | Machine Learning | Deep Learning | NLP | Computer Vision | AI SaaS | AI Automation | AI Chatbots | Data Science | Predictive Analytics | TensorFlow | PyTorch | Transformers | AraBERT | OpenAI API | Cybersecurity AI | Medical AI | Image Processing | AI Workflow Automation

Top-Rated professional with 8+ years of experience in machine learning, deep learning, artificial intelligence, data science, and predictive analytics. I design, train, and deploy production-grade models in natural language processing (NLP), computer vision, reinforcement learning, and retrieval-augmented generation (RAG) using cutting-edge frameworks like PyTorch, TensorFlow, Keras, and Hugging Face Transformers. My strength is delivering end-to-end AI solutions—from data engineering and feature engineering to MLOps and cloud deployment—on AWS SageMaker, Google Cloud Vertex AI, Docker, and Kubernetes. CORE SERVICES • Large Language Model (LLM) Development • Custom GPT-4, GPT-3.5, Llama 3, Mixtral, and open-source transformer fine-tuning • Retrieval-augmented chatbots, question-answering systems, knowledge-base search • Prompt engineering, evaluation, and agentic workflows with LangChain, LangGraph, LlamaIndex, LangFlow • Computer Vision and Multimodal AI • Image classification, object detection, segmentation, OCR, and visual search • Vision-language models, CLIP, BLIP, and multimodal transformers for product recommendation and analytics • YOLO, Detectron2, OpenCV, and TensorRT optimization for edge and cloud • Advanced Machine Learning & Deep Learning • Supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning • Neural networks, CNN, RNN, LSTM, Transformers, BERT, RoBERTa, FastText, XGBoost, LightGBM, CatBoost • Time-series forecasting, anomaly detection, recommender systems, speech recognition, audio processing • End-to-End MLOps and Data Engineering • Data pipelines, ETL, Apache Spark, feature stores, CI/CD, GitHub Actions • Scalable deployment on AWS, GCP, Docker, Kubernetes, serverless functions • Monitoring, drift detection, automated retraining, model registry, and A/B testing IMPACT HIGHLIGHTS • Boosted recommendation accuracy by 22 percentage points with deep collaborative filtering and matrix factorization • Cut inference latency 40 % using GPU optimization, TensorRT, and autoscaling clusters • Reduced cloud costs 30 % through optimized resource allocation and spot instances • Delivered more than 50 production AI projects across e-commerce, fintech, healthcare, and SaaS TECHNICAL STACK Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face Transformers, SpaCy, NLTK, FastText, BERT, RoBERTa, OpenCV, YOLO, Detectron2, CLIP, BLIP, TensorRT, Apache Spark, Docker, Kubernetes, AWS (EC2, S3, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), Git, GitHub Actions, Tableau, Power BI, Matplotlib, Seaborn, R-Shiny EDUCATION AND CERTIFICATIONS • MSc in Data Science, University of Waterloo (full-merit scholarship). Thesis in multimodal NLP and computer vision • BSc in Computer Science, University of Bradford (Top 1 %, merit scholarship) • 20+ professional certificates: Stanford Deep Learning, Machine Learning and NLP specializations, Google TensorFlow Developer, Google Data Analytics, AWS Certified Machine Learning, Google Cloud Professional Data Engineer WHY HIRE ME • Proven ability to translate complex deep-learning research into scalable cloud solutions that raise accuracy, speed, and ROI • Expertise across the full data lifecycle: data collection, preprocessing, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and maintenance • Clear, prompt communication in English, reliable delivery, and transparent project management using Agile and Scrum Invite me to discuss how we can apply cutting-edge machine learning, deep learning, and AI to solve your business challenges and accelerate growth.

- Top 1% Full-Stack AI Developer (End-to-End Product Builder) - 7+ Years of Experience in AI, Machine Learning & Scalable Systems - Built AI Products that Raised Over $2M in Funding - Systems Processing 1M+ Images per Month in Production - Expert in Building End-to-End AI Applications (Model → Backend → Frontend) - Specialized in Computer Vision, NLP & Predictive Analytics - Experience Collaborating with Engineers from Google & AWS - Strong Expertise in FastAPI, React, Next.js & Cloud (AWS/GCP) - Proven Track Record of Building Scalable SaaS & AI Platforms I’m Naeem, a Full Stack AI Developer with 7+ years of experience building intelligent web applications, AI-powered systems, and scalable products for startups, product companies, and growing businesses. As a Full Stack AI developer, I work across both frontend and backend while integrating advanced AI capabilities, helping clients build products from scratch, automate workflows, and scale with confidence. My main stack includes React, Next.js, Node.js, TypeScript, Python, FastAPI, and modern AI frameworks like PyTorch and TensorFlow. As a Full Stack AI developer, I build responsive user interfaces, develop backend services, create APIs, train and deploy AI models, and connect everything into seamless, production-ready systems. I also work with Tailwind CSS, modern UI libraries, and scalable cloud architectures. I have experience as a Full Stack AI developer building AI-powered SaaS platforms, automation tools, dashboards, internal systems, and data-driven applications. My work includes integrating machine learning models, building AI pipelines, designing system architecture, and delivering features that solve real business problems. I focus on writing clean, maintainable code and building systems that are reliable in production. As a Full Stack AI developer, I work with databases like PostgreSQL, MongoDB, MySQL, Firebase, and vector databases for AI applications. I design efficient data pipelines, handle large-scale data processing, and build systems that support real-time and asynchronous AI workloads. A Full Stack AI developer should understand how data, models, and applications work together — and that’s the approach I bring to every project. I also have strong experience as a Full Stack AI developer with computer vision, natural language processing (NLP), and predictive analytics. I build systems for image recognition, document parsing, chatbots, recommendation engines, and intelligent automation. I deploy models into production environments where they deliver consistent and measurable value. Beyond coding, I contribute as a Full Stack AI developer who understands product thinking and team workflows. I have experience with Git workflows, CI/CD pipelines, cloud deployment (AWS/GCP), and system design. In some projects, I work purely as a developer. In others, I support architecture decisions, AI strategy, and technical leadership. Clients hire me as a Full Stack AI developer when they need someone who can handle both AI and full-stack development without gaps. I can join a team, own features end-to-end, build MVPs, scale AI systems, improve existing applications, or stabilize complex projects. I also support long-term development, optimization, and feature expansion. My services as a Full Stack AI developer include: AI-powered web applications, custom machine learning models, computer vision systems, NLP solutions, API development, backend systems, React and Next.js applications,

With 7+ years of experience in Artificial Intelligence, I design and deploy Generative AI, Agentic AI, Deep Reinforcement Learning, and Large Language Model–driven autonomous solutions for robotics, business automation, decision intelligence, and algorithmic trading. My work spans Deep Reinforcement Learning, Foundation Models, autonomous robotics agents, and robotics decision frameworks. I specialize in edge AI deployment using ROS1/ROS2, Jetson Nano/Xavier/Orin, and Raspberry Pi, delivering end-to-end pipelines from simulation to real-world hardware. Simulation expertise includes PyBullet, Gazebo-ROS, Unity3D, and PyGame, supporting 2D/3D environments for aerial, ground, and marine robotics with integrated AI model deployment on Pixhawk, Jetson, and Raspberry Pi platforms. My core strengths include ML/DL/CV model development, fine-tuning, customization, POC prototyping, and scalable AI system design. I am also open to research collaborations in Deep Reinforcement Learning and embodied AI. ## Agentic AI, AI Agents & RAG Tooling LangChain AI agent orchestration, tool-using AI agents, and multi-step reasoning pipelines LlamaIndex RAG-based AI agents, knowledge-aware AI systems, and retrieval-driven AI workflows AutoGen collaborative AI agents, conversational AI agents, and multi-agent task execution OpenAI function-calling / Assistants APIs – production AI agents with tool integration and decision-support AI agents Supporting AI Agent Infrastructure Vector Retrieval for AI Agents: FAISS, Chroma for memory-augmented AI agents and RAG-based AI decision systems Deployment for AI Agents: FastAPI and Docker for scalable AI agent services and autonomous AI pipelines LLM Integration: prompt engineering, fine-tuning, and evaluation of LLM-powered AI agents and knowledge-generating AI systems ## Deep Reinforcement Learning Expertise * DQN, Double DQN, Dueling DQN * PPO, SAC, DDPG, TD3 & custom RL architectures * Model-based and model-free RL * Federated & distributed RL * Multi-agent, competitive, and collaborative RL * Swarm intelligence & data-driven RL * RL integrated with LLM reasoning and planning * Custom OpenAI Gym/Gymnasium MDP design * Simulation-to-real transfer and hardware deployment ## Agentic AI & Autonomous Robotics Decision Intelligence * Agentic AI architectures for robotics and enterprise automation * Robot policy learning and adaptive control * LLM-driven task planning and hierarchical reasoning * Language-image goal-conditioned learning * Robot Transformers & embodied foundation models * In-context decision learning and tool-using agents * Open-vocabulary navigation and manipulation ## Robotics Perception & Embodied Intelligence * Open-vocabulary object detection, 3D classification & semantic segmentation * Person following, tracking, and identification * Visual navigation, visual SLAM, and multimodal perception ## Generative AI, RAG & Knowledge Systems * Retrieval-Augmented Generation (RAG) pipelines * Knowledge graph construction and knowledge generation workflows * LLM fine-tuning, evaluation, and alignment * Autonomous AI copilots and decision-support agents * Multimodal generative models and AI orchestration APIs --- ## Frameworks & Tooling RL & AI: Ray RLlib, TorchRL, Stable-Baselines3, MuJoCo, Gymnasium, Unity ML-Agents Robotics & Simulation: ROS1, ROS2, PyBullet, Gazebo, Unity3D, PyGame2D ## Hardware Platforms Jetson Nano, Xavier, Orin • Raspberry Pi • Arduino • STM32 ## Robotics Platforms Experience Unitree GO1 (Quadruped), Hiwonder JetHexa (Hexapod), Ackermann & Differential Drive Robots, Manipulators, Soft Robotics, Micro-robots I welcome collaboration opportunities in autonomous robotics, agentic AI, reinforcement learning, and generative knowledge systems. Let’s discuss how my technical depth can accelerate your project from concept to deployment. Regards Engineer Suleman Autonomous AI & Decision Support

With over 20 years of experience spanning software engineering, DevOps, cloud infrastructure, and cybersecurity, I help businesses—from early-stage startups to global enterprises—build secure, scalable, and high-performing digital systems. I’ve served as a full-stack developer, lead architect, and fractional CTO, delivering results across every layer of the stack and every phase of the product lifecycle. My strength lies in bridging deep technical knowledge with clear strategic thinking—turning complex technical challenges into actionable, business-aligned outcomes. Core Focus Areas Technology Leadership & Architecture • Designing scalable, cloud-native and hybrid systems across AWS, Azure, and GCP. • Leading modernization strategies for legacy systems and accelerating digital transformation. • Communicating architectural decisions clearly to execs, boards, and cross-functional teams. • Driving outcomes aligned with security, compliance (ISO 27001, SOC 2, HIPAA, GDPR), and business goals. Fractional CTO & Strategic Advisory • Acting as a technical partner for startups and growing companies. • Leading platform architecture, DevOps strategy, and security modernization. • Supporting funding rounds, M&A due diligence, and board-level technology planning. • Fixing failing tech projects, restoring delivery pipelines, and building resilient teams. Full-Stack Product Engineering • Building end-to-end applications using React, Vue, Angular, Node.js, Python, Django, .NET, and more. • Creating robust backend APIs (REST, GraphQL, WebSockets) and scalable data architectures. • Delivering lean MVPs, enterprise-grade platforms, and complex integrations with third-party systems. • Writing clean, maintainable, test-driven code using modern patterns and tools. Cloud Infrastructure & DevOps • Architecting secure CI/CD pipelines with GitHub Actions, GitLab, Jenkins, and Azure DevOps. • Deploying production environments using Docker, Kubernetes, and Terraform. • Implementing modern cloud-native services and infrastructure-as-code best practices. • Ensuring high availability, performance, cost-efficiency, and operational resilience. Tools & Technologies Frontend: React (Next.js, Redux), Vue, Angular, TypeScript, Tailwind, Material UI Backend: Node.js (Express, NestJS), Python (Django, Flask), .NET, Ruby on Rails, PHP Data: PostgreSQL, MySQL, MongoDB, Redis, Firebase, Sequelize, TypeORM Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, CI/CD Security: IAM, WAF, encryption standards, secure architecture reviews, DevSecOps Testing: Jest, PyTest, Cypress, Selenium, TDD/BDD Collaboration: GitHub, Jira, Slack, Agile/Scrum Why Work With Me • Execution You Can Count On: Over 150 successful projects across fintech, healthcare, e-commerce, and enterprise IT. • End-to-End Expertise: From code to cloud, strategy to delivery—I operate across the full stack and lifecycle. • Security-Minded: Strong foundation in cybersecurity and compliance frameworks. • Business-Aligned Thinking: Every technical choice is guided by the outcome it’s meant to deliver. • Clear Communication: Whether speaking to dev teams, investors, or executives—I make the complex simple. If you’re building something ambitious and need a grounded, experienced partner to guide development or lead technology strategy, let’s connect.

As for technology and science jobs, there are opportunities for both lecturers and engineers. My name is Amanuel, but you can call me Aman. Currently, I work as a lecturer in IoT at the Department of Electromechanical/Mechatronics Engineering. I have been working in this field over four years. For my M.Sc. thesis in Mechatronics Engineering, I designed an AI-based autonomous robot intended for hospital use. This robot employs deep reinforcement learning (DRL) and DL-based robots using programming languages such as Python and C/C++. I built a prototype of this robot using the NVIDIA JETSON NANO 2GB developer kit and ARDUINO UNO as master and slave. The SGD (Stochastic Gradient Descent) algorithm is an essential algorithm for Gradient Descent that was used in this project. I also have extensive experience with SolidWorks and AutoCAD and have used MATLAB to implement classical controllers such as PI and PID, interfacing them specifically with SolidWorks. Consequently, I believe I am well-equipped to collaborate with and support individuals in the field of AI and programming. **** SERVICE AREAS **** 🟠 Machine Learning: ✅ Machine learning model development and implementation ✅ Data preprocessing and feature engineering ✅ Supervised learning (classification, regression) ✅ Unsupervised learning (clustering, dimensionality reduction) ✅ Deep learning and neural networks ✅ Natural language processing (NLP) tasks ✅ Recommendation systems ✅ Time series analysis and forecasting ✅ Model evaluation and performance optimization 🔴 Computer Vision: ✅ Image classification and object recognition ✅ Object detection and localization ✅ Image segmentation ✅ Facial recognition and biometrics ✅ Image and video analysis ✅ Feature extraction and representation learning ✅ Optical character recognition (OCR) ✅ Pose estimation and tracking 🟣 Model Evaluation and Performance Optimization: ✅ Model validation and evaluation metrics ✅ Hyperparameter tuning and optimization ✅ Performance optimization for scalability and efficiency ✅ Debugging and troubleshooting ML models **** Proficient in the following PYTHON Libraries for ML/DL projects **** ✔️Tensorflow ✔️ Keras ✔️ PyTorch ✔️ Pandas ✔️ NumPy ✔️ SciPy ✔️ Python Scikit-Learn ✔️ Statsmodels ✔️ Matplotlib ✔️ OpenCV ✔️ PIL **** Successfully Completed jobs in Upwork **** ➡ Emotion detection using CNN on the FER2013 dataset: Video Classification Deep Learning ➡ Stock price prediction using different predictive algorithms: Need an AI expert for stocks ➡ Computer vision using YOLOv5 PyTorch model: Weapon detection using Yolo and SURF Algorithm ➡ Building Predictive model for stocks (ForEex ): Build me a deep learning AI model from my data ➡ Build speech synthesis model using BARK, Tortoise, and SVC pre-trained models: Voice Cloning text to speech (custom voice) ➡ Create an object detection AI model for refrigerators and turn it into an API ➡ Python Developer - Depth-Enhanced CNN Model Specialist ➡ Research and Compare various AI Models ➡ Data Analyst and Engineer **** Successfully Completed projects **** ✳ ML-based Stroke prediction ✳ Apple Price Prediction using RNN/LSTM ✳ Sign Language Recognition System using Random-Forest ML algorithm ✳ Alphabet Recognition (EMNIST) based on OpenCV, Convolutional Neural Network (CNN) ✳ Object Detection-DL and OpenCV ✳ ML-based Stroke prediction: LR, RNN/LSTM, Random-Forest, and Decision-Tree algorithms. ✳ AI/DL-based Autonomous navigating and patient follower robot using Nvidia Jetson Nano DK