With 4+ years of experience and 100+ successful projects, I help startups, enterprises, and researchers turn ideas into production-ready AI products that create measurable business impact. I specialize in building end-to-end AI solutions across Generative AI, multimodal LLMs, LangChain, RAG pipelines, Computer Vision, NLP, Speech AI, AI automation, and scalable SaaS development. From fine-tuning custom models to designing robust backend systems and deploying cloud-based applications, I deliver solutions that are practical, reliable, and built for real-world use. I develop: * RAG systems and enterprise search platforms * Custom AI chatbots and LLM-powered assistants * AI automation workflows and business process integrations * Document AI and OCR pipelines * Computer Vision and medical imaging applications * Speech-to-text, text-to-speech, and voice-enabled assistants * Generative image and video AI solutions * AI SaaS platforms, internal business tools, dashboards, marketplaces, MVPs, and API-driven products My work covers the full product lifecycle: AI strategy, architecture, model selection, prompt engineering, LoRA and fine-tuning, backend logic, API development, database optimization, automation, deployment, and long-term scalability. Alongside AI-first development, I also build complete software products using FastAPI, Flask, Node.js, Next.js, Supabase, Bubble io, Lovable AI, React, and modern cloud platforms such as AWS, GCP, and Azure. ⚙️ Tech Stack & Skills Programming: Python AI Frameworks: PyTorch, TensorFlow, Keras, LangChain LLMs & RAG: OpenAI GPT-4/GPT-5, LLaMA, Gemini, Claude, Mistral, semantic search with embeddings, keyword search with BM25, hybrid retrieval, RAG pipelines Generative AI: Stable Diffusion, DALL·E, LoRA, AUTOMATIC1111, DreamBooth, ComfyUI, Hugging Face models, GANs, CycleGAN, VAEs Computer Vision: Transformers, OpenCV, MediaPipe, OCR, CNNs, Autoencoders, YOLO 3D Data: Open3D, PyTorch3D, 3D U-Net, depth estimation, point cloud processing Machine Learning: Scikit-learn, XGBoost, classification, regression, clustering, traditional ML models NLP: spaCy, NLTK, Word2Vec, TF-IDF, LSTM, RNN, GRU Speech AI: Whisper, Coqui TTS, Google Cloud Speech, Azure Cognitive Services, Amazon Polly Databases & Vector Stores: PostgreSQL, MySQL, MongoDB, Pinecone, ChromaDB, FAISS, Supabase Backend Engineering & MLOps: FastAPI microservices, Flask APIs, OpenAPI specification and code generation, CI/CD with GitLab, Python packaging with UV and Poetry, ML data pipelines, MLOps best practices Deployment: Docker, AWS, GCP, Azure, MLflow, Runpod Frontend & Product Development: Streamlit, HTML/CSS, Webflow, Lovable AI, Bubble io, React Backend & Full-Stack: Flask, FastAPI, Node.js, Next.js, Supabase Mobile Apps: Flutter Automation & Workflows: n8n, Zapier, Make, Claude Code, OpenClaw, custom pipeline orchestration 🌟 Why Clients Hire Me ✅ 100+ successful projects and a 98% Upwork Job Success Score ✅ Strong expertise across AI, software engineering, automation, and cloud deployment ✅ Clean code, optimized models, rigorous testing, and on-time delivery ✅ Scalable, production-ready systems built for real business needs ✅ Strategic product thinking, not just technical implementation ✅ Clear communication, transparent workflows, and consistent progress updates I care deeply about communication, clean architecture, and long-term stability, not just making something “work.” I focus on building solutions that are maintainable, scalable, and aligned with business goals. Many of my clients return for additional projects because I stay involved, suggest better approaches when needed, and keep the development process simple, collaborative, and transparent. Whether you need an AI chatbot, RAG application, fine-tuned LLM, OCR pipeline, computer vision system, voice AI product, generative media workflow, no-code MVP, or a fully custom SaaS platform, I can help turn your idea into a robust, production-ready solution. Let’s connect and discuss how we can build an AI-driven product that delivers real value.

High-performance backends. Decision engines. AI factories. Computer vision. Real-time systems. From UI/UX-heavy MVPs to full-stack platforms built for the traffic that comes after launch day, not just during it. Rust, C++, and 5+ languages. 100,000+ concurrent WebSocket connections -- in production. A 12-week roadmap shipped in 4. 30 senior engineers. Dedicated project teams, not rotating freelancers. Every engagement starts with a paid Discovery phase -- we scope the architecture before we write a line of code. Not a fit: no-code workflows, or projects solvable with Zapier. WHAT I BUILD - High-Performance Backends: Production backends with actix-web, axum, and Tokio -- millions of requests/day, zero GC pauses. REST, GraphQL, WebSocket, and gRPC services for throughput and latency-sensitive workloads. - Full-Stack Platforms: React, Next.js, TypeScript frontends with production backends -- SaaS, MVPs, and custom web applications from architecture to deployment. Designed for 1K to 100K concurrent users without a rewrite. - Autonomous AI Agents: Agentic pipelines with OpenAI and Anthropic Claude -- lead qualification, data analysis, customer support running 24/7. Multi-step reasoning, error recovery, state persistence. 11+ projects for one client. - Computer Vision: Object detection, tracking, real-time inference, OCR, document processing -- CUDA-optimized, deployed as production APIs or edge devices. Not Jupyter notebooks. - Real-Time 3D & Visualization: WebGL and WebGPU rendering -- product configurators, data dashboards, architectural viewers at 60fps in-browser on mid-range hardware. - Data Pipelines: Rust-native processing with Polars and DataFusion -- replacing Python/JavaScript bottlenecks. Kafka streaming, PostgreSQL persistence. - Cloud & Infrastructure: AWS, GCP, Azure with Terraform and Kubernetes -- auto-scaling, zero-downtime deployments, infrastructure-as-code. RECENT OUTCOMES - Crypto trading platform dropping connections above 8,000 users. Rebuilt proxy in Rust, Tokio, Kubernetes -- 100,000 connections at under 10ms, zero crashes. - GovTech blockchain payment router on Go. Rebuilt IAVL Tree in Rust -- 20–30% faster, Clutch-reviewed (Alex Kampa, AZKR Research). - Recruitment team spending 4 hours daily on manual data entry. Built automated extraction and processing pipeline -- 95% reduction. - Data analytics platform hitting memory limits in JavaScript. Replaced core with Rust and Polars -- 5x faster processing, 70% lower memory. - Blockchain gaming 3D pipeline loading in 8+ seconds. Rebuilt within 4GB RAM budget -- 45% faster, Clutch-reviewed (Ruslan Varets). TECHNOLOGIES - Systems & Backend: Rust, C++, Python, TypeScript, actix-web, axum, Tokio, Node.js, WebAssembly - Frontend: React, Next.js, TypeScript, Tauri, Dioxus - AI & Agents: OpenAI, Anthropic Claude, Hugging Face, LangChain, RelevanceAI - Graphics: WebGL, WebGPU, OpenGL, Vulkan, three.js, GLSL/WGSL shaders, bevy - Vision: OpenCV, CUDA, PyTorch, TensorFlow, Keras, Mediapipe - Data: Polars, DataFusion, PostgreSQL, Kafka, Snowflake, Apache Arrow - Cloud & DevOps: AWS, GCP, Azure, Terraform, Kubernetes, Docker, GitHub Actions - Networking: WebRTC, LibP2P, QUIC, WebSocket, gRPC Delivery: Discovery → Architecture Review → Platform Build → Performance Testing → Production Deploy → Runbook Handoff. Fixed scope per phase. This profile is for engineering teams building production platforms under real load. Send your project brief -- I'll reply within 48 hours to assess fit.

👋 Expert Machine Learning, Generative AI Engineer and Full Stack Web Development. I am passionate about solving complex problems and making a positive impact. I bring experience across various projects, specialising in Machine Learning, Generative AI, and Cloud solutions. My expertise includes leveraging tools and frameworks such as Pandas, Matplotlib, Seaborn, Scikit-Learn, OpenCV, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, ChatGPT, Gemini, Llama, Cohere, Pinecone, LlamaIndex, and more to build innovative solutions. I am an AWS Certified Generative AI Developer Professional, AWS Certified Machine Learning Engineer Associate, AWS Certified AI Practitioner, Google Cloud Certified Associate Cloud Engineer, Google Cloud Certified Generative AI Leader, a Databricks Certified Generative AI Engineer Associate, and an Oracle Cloud Infrastructure 2024 Generative AI Certified Professional. I am skilled in data analysis, predictive modelling, sentiment analysis, classification, regression, clustering, and object detection. My strong foundation in Python, JavaScript, and SQL, coupled with experience developing REST APIs, enables me to create robust solutions. I am also well-versed in cloud computing, with expertise in deploying machine learning models on both Google Cloud and AWS. 🚩AREA OF EXPERTISE ----------------------------------- ✔️ LLM Fine-tuning & Deployment ✔️ Generative AI Applications ✔️ Retrieval-Augmented Generation (RAG) ✔️ Machine Learning (ML) and Deep Learning(DL) ✔️ Data Analysis and Visualisation ✔️ Natural Language Processing(NLP) ✔️ Time series forecasting, Anomaly detection ✔️ AI Applications building using open-source models and Hugging Face tools ✔️ GCP & AWS AI Services ✔️ API Development 🚩TECHNICAL SKILLS -------------------------------------------------------- ✔️ Python, JavaScript, SQL ✔️ LangChain | LangGraph | LlamaIndex | Autogen | Swarm | CrewAI | OpenAI GPT-4o | Claude | Gemini | Llama 3 ✔️ Pinecone | Qdrant | Chroma | FAISS ✔️ Numpy, Pandas, Jupyter Notebook, Matplotlib, Seaborn, Plotly ✔️ SciKit-Learn, NLTK, BeautifulSoup, Statsmodel ✔️ TensorFlow, Keras, PyTorch, PyTorch Lightning ✔️ OpenCV, Scikit-Image, Pillow, Tesseract ✔️ DNN, CNN, RNN/LSTM, GAN ✔️ Hugging Face Transformers, ✔️ FastAPI, Flask, Streamlit I believe clear communication is key to success, and I prioritise understanding my clients' needs and vision. I'm excited to apply my skills to new challenges and am confident in making valuable contributions to any team. Thank you for considering my profile, and I look forward to the opportunity to work with you soon.

⭐⭐⭐⭐⭐ AI/ML Engineer | 100% Job Success | Computer Vision, Recommendation Systems, AI-powered Insights, Chatbots, LLMs and RAG Systems Hi! I'm Ali Raza, an AI/ML Engineer with deep expertise in Computer Vision and Large Language Models. I build and deliver production-grade AI systems that drive real business results—from custom vision models to intelligent RAG pipelines ready for deployment. My focus is delivering fast, scalable, and reliable AI systems that integrate seamlessly into real-world products. 🏅 Expert in Tensorflow, PyTorch, LangChain and Production-Ready AI Solutions ⭐ 100% Job Success | Building Scalable Computer Vision Systems and Chatbots for Startups and Businesses 🏆 Specialized in Computer Vision, LLM Applications, and RAG Pipelines ✔ AI/ML Engineer specializing in Computer Vision ✔ LLM and RAG Systems Architect ✔ Python Backend and AI Integration Expert 👁️ Computer Vision Engineering and Development ___________________________________________________________________________ ✔ Object Detection, Segmentation, and Classification ✔ Image-to-Image Systems | Image and Video Processing ✔ Image Recognition, Image Matching, and Colour Matching Systems ✔ Video Analytics and Real-Time Tracking ✔ OCR and Document Processing Pipelines using Tesseract, OpenCV ✔ Custom PyTorch and OpenCV Model Development ✔ High-Performance Inference and Deployment ⚙️ LLMs and RAG Systems ___________________________________________________________________________ ✔ ChatGPT-like Applications and Custom AI Assistants ✔ Retrieval-Augmented Generation (RAG) Pipelines ✔ Vector Database Integration (PgVector, FAISS, Pinecone) ✔ LangChain-based LLM Workflows and Orchestration ✔ Prompt Engineering and Fine-Tuning ✔ Private Document Q&A and Knowledge Systems 🔨 AI-Powered Backend Systems ___________________________________________________________________________ ✔ FastAPI and Python AI Microservices ✔ REST API Development and Integration ✔ Real-time Inference Pipelines ✔ Scalable Backend Architecture for AI Products 📊 Data Engineering for AI Systems ___________________________________________________________________________ ✔ Data Cleaning, Preprocessing, and Feature Engineering ✔ ETL Pipeline Development and Automation ✔ Data Ingestion and Transformation Pipelines ✔ SQL, PostgreSQL, and MongoDB Database Design ✔ Web Scraping and Large-Scale Document Parsing using Playwright, BeautifulSoup 📩 MLOps and Deployment ___________________________________________________________________________ ✔ Docker Containerization ✔ AWS and GCP Deployment ✔ Model Optimization using ONNX and CUDA ✔ Production Deployment and Scaling ✔ CI/CD and Automation for ML Pipelines 🏆 Key Computer Vision Achievements ___________________________________________________________________________ ✨ Built custom object detection models using YOLO, PyTorch, and OpenCV ✨ Fine-tuned vision models using LoRA for efficient domain adaptation ✨ Developed image similarity and matching systems for visual search ✨ Implemented OCR pipelines for automated invoice and document processing ✨ Designed and deployed real-time video processing systems ✨ Containerized and deployed vision APIs on AWS and GCP infrastructure ✨ Optimized models using ONNX, TensorRT, and CUDA for faster inference ✨ Created automated data extraction pipelines for document-intensive workflows 🛠️ TECH STACK ___________________________________________________________________________ ➡️ Core Languages: Python, SQL, C/C++, JavaScript ➡️ Machine Learning Models and Architectures: ML Models: Logistic Regression, Decision Trees, SVM, KNN, Ensemble Methods, PCA, Naive Bayes Deep Learning: CNNs, RNNs, Autoencoders, GANs, Transformers, Large Language Models (LLMs), UNet, YOLO ➡️ Machine Learning and AI: PyTorch, TensorFlow, Scikit-learn, OpenCV, Keras, ONNX Runtime, Sentence-Transformers, spaCy, NLTK, Tesseract OCR, NumPy, XGBoost, LSTM, Transformer Models ➡️ Model Fine-Tuning and LLM Adaptation: LoRA, QLoRA, Transfer Learning, Fine-Tuning LLMs (GPT, LLaMA, Mistral), Instruction Tuning, Supervised Fine-Tuning (SFT), Adapter Layers ➡️ LLM and RAG Frameworks: LangChain, FastAPI, PgVector, FAISS, Pinecone, Vector Databases, Embedding Pipelines ➡️ Backend and APIs: FastAPI, Flask, REST APIs, Microservices Architecture, Streamlit, Uvicorn ➡️ Data Engineering and Databases: PostgreSQL, MongoDB, MS SQL Server, Neo4j, PgVector, Pandas, NumPy, ETL Pipelines ➡️ Cloud and DevOps: AWS, GCP, Docker, CI/CD Pipelines, Model Serving, Scalable Deployment ➡️ Automation and Scraping: Playwright, BeautifulSoup, Automated Data Extraction, Document Parsing 🤝 Let's Work Together! ___________________________________________________________________________ If you're building an AI product, integrating LLMs, or developing Computer Vision systems, feel free to invite me to discuss your project!

In today's competitive landscape, your business is generating more data—both visual and text—than ever before. The critical question is: Is this data an untapped goldmine for growth, or a costly, untapped resource? Many businesses are leaving significant money and insights on the table by relying on slow, error-prone manual processes. Artificial Intelligence is no longer a buzzword for tech giants; it is the fundamental tool that separates market leaders from the rest, whether through understanding images or text. As a Top-Rated Upwork Talent with 7+ years of experience, I don't just deliver code; I deliver business solutions. My goal is to become your strategic partner, understanding your unique challenges and deploying the right technology to solve them. My specialty is building intelligent systems that turn your operational challenges into competitive advantages. I help businesses like yours leverage AI to: • Slash Operational Costs with Computer Vision: Are your employees spending hours on repetitive tasks like quality checks or data entry from images? I build automation systems using Python, OpenCV, and YOLO that execute these tasks 24/7, freeing up your team and drastically reducing operational costs. • Unlock Insights from Text with Generative AI: Are you struggling to answer customer queries efficiently or make sense of vast internal documents? I build advanced RAG (Retrieval-Augmented Generation) systems and AI agents using LangChain, CrewAI, and APIs from OpenAI & Gemini. These solutions can power intelligent chatbots or internal knowledge bases that provide instant, accurate answers from your own data. • Drive Unprecedented Efficiency: Imagine processing thousands of documents or images with near-perfect accuracy in minutes. As the solo founder of an AI platform that served over 10,000 answers in its first week, I have proven experience building and scaling production-grade AI applications that deliver real-world performance. Your next big competitive advantage is waiting to be unlocked from your data. I'm passionate about helping businesses discover it. Send me a message about your goals, and let's brainstorm a few practical AI strategies that could fuel your growth. I'm excited to explore the possibilities with you.

Hi, Thank you for visiting my profile! I am an experienced Data Scientist, AI Specialist, and Research Consultant with over 10 years of industry experience, 15+ research publications, and 200+ satisfied industrial clients. My expertise lies in academic research, consultancy, and building cutting-edge AI/ML solutions. Whether you need in-depth research support, advanced AI integration, or technical guidance, I deliver results tailored to your needs. 📘 Research Writing and Consultancy 🌟 Highlights: 🔹 Crafting high-quality academic research papers, theses, and dissertations for SCI/SSCI-indexed journals. 🔹 Ghostwriting for academic manuscripts, ensuring originality and impactful content. 🔹 Comprehensive literature reviews with the latest studies (2020–present) from reliable, peer-reviewed sources. 🔹 Structuring compelling research proposals with strong problem statements, methodologies, and objectives. 🔹 Formatting and editing aligned with academic styles like APA, MLA, Chicago, Vancouver, IEEE, and others. 🔹 Plagiarism detection and removal with detailed PDF reports and recommendations for improvement. 🔹 Addressing reviewer comments meticulously to enhance the chances of publication. 💡 AI and Machine Learning Development 🔧 Expertise in Technologies 🟢 Advanced proficiency with LLMs (e.g., ChatGPT, LLaMA 2), Transformers (BERT, RoBERTa, GPT), and RAG (Retrieval-Augmented Generation) pipelines. 🟢 Developing custom AI solutions such as NLP systems, intelligent analytics pipelines, and retrieval systems. 🟢 Implementation of advanced ML algorithms, including Random Forest, XGBoost, SVM, and KNN. 🟢 Expertise in deep learning frameworks like PyTorch, TensorFlow, and Keras for computer vision, image recognition, object detection, and classification tasks. 🟢 Integration of modern data lakes and scalable architectures for processing large datasets. 🟢 Deployment of AI/ML models on cloud platforms (AWS, GCP) with Docker and Kubernetes for seamless scalability and performance optimization. 🟢 Performance tuning with techniques such as self-supervised learning, transfer learning, and advanced model fine-tuning. 📑 Editing, Proofreading, and Formatting ✨ Comprehensive Services 🟡 Thorough editing for grammar, sentence structure, and flow to enhance document quality. 🟡 Precision formatting of research papers, theses, and dissertations as per journal/institutional requirements (e.g., IEEE, APA, Chicago, etc.). 🟡 Cross-checking citations and references using tools like EndNote, Zotero, and Mendeley to ensure accuracy and consistency. 🟡 Meticulous formatting of tables, figures, headings, subheadings, TOC, and appendices to meet professional standards. 🟡 Detailed proofreading for grammatical and typographical errors, ensuring a polished and professional document. 🟡 Expert review and constructive feedback on existing drafts to improve structure, clarity, and impact. 🌟 Why Work With Me? I combine extensive research expertise, cutting-edge technical skills, and a dedication to delivering high-quality results that exceed expectations. With 20+ research publications and over 200 satisfied clients, I am confident I can meet your needs and help you achieve your goals. Let’s connect and discuss how I can contribute to your success! Best regards, Junaid Hussain Muzamal

PhD machine learning specialist delivering end-to-end solutions in computer vision, sensor data analytics, and edge AI deployment. Expert in object detection, predictive modeling, and real-time inference systems from cloud to edge devices with production ML models deployed across healthcare, industrial, and smart city applications ​ What I can do for you Computer vision & image analysis: - Object detection, classification, and segmentation using YOLO, Faster R-CNN, and transformer-based models - Real-time video analytics for surveillance, quality inspection, and people/vehicle tracking - Pose estimation, facial recognition, and visual anomaly detection Sensor data & predictive analytics: - Time series forecasting, anomaly detection, and predictive maintenance from IoT sensor streams - Multi-sensor fusion and feature engineering for physiological, environmental, and industrial sensors - Signal processing pipelines: filtering, spectral analysis, pattern recognition, and event detection Edge AI & TinyML deployment: - Deploy optimized ML models on microcontrollers (Arduino, ESP32, STM32, nRF52) and edge devices (Raspberry Pi, Jetson) - Model quantization, pruning, and compression using TensorFlow Lite, TFLite Micro, Edge Impulse, ONNX End-to-end ML pipelines: - Data collection, cleaning, feature engineering, model training, validation, and deployment - Cloud and edge integration with MQTT, REST APIs, dashboards - Model monitoring, A/B testing, and continuous improvement ​ Relevant experience Computer vision projects: - Real-time object detection and tracking from LIDAR and camera feeds for traffic analytics and smart city applications - Agricultural crop disease detection on Jetson Nano using custom CNN/YOLO models with 91% accuracy - Quality inspection system for manufacturing defect detection using semantic segmentation Sensor data & predictive analytics: - Healthcare monitoring systems analyzing physiological sensor data for fall detection, activity recognition, and patient vital tracking - Predictive maintenance models for industrial equipment using vibration, temperature, and acoustic sensors - Environmental monitoring networks with real-time air and water quality assessment across multiple deployed nodes - Time series forecasting for energy consumption and demand prediction less than5% MAPE Edge AI deployments: - On-device activity recognition with TensorFlow Lite models on ARM Cortex-M4 microcontrollers - Real-time pose estimation on Raspberry Pi 4 at 30 FPS for fitness and rehabilitation applications - Multi-sensor fusion system combining IMU, GPS, and camera data for autonomous navigation ​ Tech stack: Computer vision & deep learning: - Frameworks: TensorFlow, Keras, PyTorch, OpenCV, scikit-learn, Hugging Face Transformers - Architectures: YOLO (v5/v8/v11), Faster R-CNN, ResNet, EfficientNet, Vision Transformers (ViT), U-Net - Tools: LabelImg, CVAT, Roboflow for dataset annotation and augmentation Machine learning & data science: - Classical ML: Random Forest, XGBoost, LightGBM, SVM, clustering algorithms - Time series: ARIMA, LSTM, Prophet, seasonal decomposition - Libraries: NumPy, Pandas, SciPy, scikit-learn, Statsmodels Signal & sensor processing: - Custom filtering, FFT, wavelet analysis, spectral analysis - Multi-sensor fusion, Kalman filtering, feature extraction - Python/MATLAB signal processing toolboxes Edge AI & embedded deployment: - Optimization: TensorFlow Lite, TFLite Micro, Edge Impulse, ONNX Runtime, TensorRT - Hardware: Arduino, ESP32, STM32, nRF52, Raspberry Pi (3/4/5), Jetson Nano/Xavier, Google Coral - Model compression: quantization (INT8/INT16), pruning, knowledge distillation Cloud & infrastructure: - Platforms: AWS (SageMaker, Lambda, IoT Core), Google Cloud (Vertex AI), Azure ML - APIs: REST, MQTT - Deployment: FastAPI, Flask Development tools: - Version control: Git, GitHub - Visualization: Matplotlib, Seaborn, Plotly, Streamlit, Gradio ​ With a PhD in Computer Science and Engineering (USA), Master in Electronic and Electrical Engineering (UK), I combine deep theoretical knowledge with practical implementation experience. Whether you need a computer vision system for production, sensor analytics for predictive insights, or ML models optimized for edge devices, I deliver scalable, production-ready solutions with comprehensive documentation and support.

I have been working on some projects relative to Intelligent Video Analysis for - AI Agent collecting lead for photographer business - Retriever and answer question based on given knowledge documentation using langchain, hugging face and OpenAI platform API - Traffic surveillance, vehicle detection, license plate recognition - Pose estimation - Re-identification (reID) system - Retail shop tracking management - people tracking for single camera and multiple cameras - Had about 6 years of experience with Deepstream So the experience that I consist of: + Skill: - Build Hailo Engine AI model on Pi Raspberry 5 edge device - Building/Training model Deep Learning for Objects Detection / Classification - Image and Video processing - Working on streaming video, understanding video Encode/Decode - Data mining (Data struct design, data analysis) - Optimizer algorithm/modeling - Video Encoding/ Decoding on GPU and CPU - Web development (I self develop the Web Application name Data Annotation Tool. The system manager and labeling data for image/video. Build own self-DATASET for training model) - WebRTC - DevOps + Programming language - C/C++, Python, JavaScript, Java, Go, Rust + Framework LLM: OpenAI Platform, LangChaib, SGlang / Ollama / vLLM Vision: OpenCV, DS-ML: Numpy, Pytorch, Caffe, Keras Nvidia: NVDEC/NVENC, TensorRT, Deepstream SDK, TAO Toolkit Database: Postgresql, MongoDB (Cloud / Atlas), MySQL, SQLlite, Redis Font-End: React, FabricJS Back-End: Django (Django REST), Message Serving: Kafka Apache, NATS, Elastic Others: FFmpeg, , GStreamer, Celery, Kurento + Clouds: AWS, Google Cloud, Digital Ocean + Tool / Software / Application - Linux, Window - Visual Studio Editor, Sublime Text - Docker - Copilot

I'm a ML engineer with year's of experience working in Agentic AI, HIPAA AI, and AI SaaS products. Our AI agency builds production AI agents — on mobile, on-prem, in the cloud, and in austere environments. As an AWS-Certified, Expert-Vetted ML engineering team, we go beyond delivery: we deploy, monitor, and operate AI systems that actually hold up under real-world conditions. Whether you need a single agent deployed in a week or a full AI/ML product built from the ground up, we match the engagement to your goals. ⚡️ What We Build ▶︎ OpenClaw AI Agent Deployment & Managed Operations The fastest path to a production-ready AI agent for your business — security-hardened, memory-enabled, and built for real operations, not demos. - Dedicated hardware or cloud deployment (Docker, Tailscale VPN, egress filtering) - Custom agent personality engineering — reasoning partners, not yes-machines - Persistent cross-session memory and long-term knowledge retention - Multi-agent systems with isolated credentials, memory, and access scopes - OWASP 2026 agentic security compliance: audit trails, kill switches, rate limiting, prompt injection defense - Ongoing managed operations — we run agents in production for our own business, so we deploy what we trust ▶︎ Custom AI & LLM Development - LLM Fine-Tuning using LoRA, QLoRA, and full parameter fine-tuning - Retrieval-Augmented Generation (RAG) with custom embeddings - AI agent orchestration (LangChain, AutoGen, CrewAI) - Causal AI and inference modeling for strategic business decisions - Sentiment analysis, NER, topic modeling, time-series forecasting ▶︎ ML Systems & Data Engineering - End-to-end ML pipelines on AWS SageMaker, GCP Vertex AI - Fraud detection, recommendation engines, churn prediction - Intelligent document processing (LlamaParse, LlamaIndex, OCR) - Scalable ETL/ELT and event-driven data architectures - MLOps with monitoring, explainability, and CI/CD built in ▶︎ Deep Learning & Computer Vision - TensorFlow, PyTorch, Keras — CNNs, RNNs, Transformers - Object detection (YOLO, OpenCV), image classification - Real-time inference APIs and computer vision pipelines ▶︎ Regulated Industry AI (HIPAA & FedRAMP-Aligned) HIPAA-compliant AI agent deployments with audit trails, access controls, and PHI-aware data handling FedRAMP-aligned cloud architecture (AWS GovCloud, Azure Government) CJIS-compatible data pipelines and secure LLM integrations Security-hardened deployments: egress filtering, isolated credentials, kill switches, prompt injection defense Healthcare AI: EHR/EMR integrations, clinical NLP, patient data pipelines 🛠️ How We Work ▶︎ Discovery & Requirements — Align on goals, constraints, and architecture before writing a line of code. ▶︎ Design & Planning — Technical blueprints and phased milestones, so you always know what's coming next. ▶︎ Agile Sprints — Regular feedback loops, transparent progress, no surprises. ▶︎ Weekly Syncs — Structured check-ins with clear next steps every time. ▶︎ Validated Deliverables — Every milestone ships with acceptance criteria and production-ready assets. 🤝 Who We Work With We're the right team if you're: - A startup or mid-size company ready to put AI agents to work in your business - A technical team that needs senior ML/AI firepower to close a capability gap - An operator who wants AI running reliably in production — not a prototype sitting on a shelf You're not hiring a freelancer. You're gaining a certified AI engineering partner who owns delivery from first conversation to production operation. 📅 Book a consultation — let's scope your agent deployment or AI build-out today.

Hi, I am an AI & Machine Learning Engineer specializing in Perception 3D, Computer Vision, Edge Computing, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Chatbot Development, Generative AI, Embedded Systems, and Firmware Development. Please get in touch if you need help with the following: • Machine Learning & Deep Learning model development • Computer Vision tasks like object detection, segmentation, and 3D reconstruction • Natural Language Processing (NLP) including text mining, sentiment analysis, and chatbots • Generative AI models for stock prediction, image inpainting, and virtual clothing • Time-Series Forecasting and Anomaly Detection • Firmware development for microcontrollers (ESP32, STM32, PIC) and IoT devices • Schematic and PCB design using Altium, KiCad, Eagle, and EasyEda • AWS IoT Core setup and cloud integration for IoT projects • Device driver development for various peripherals (I2C, SPI, etc.) • AI Deployment & MLOps with AWS, GCP, Docker, and Kubernetes • Data Analysis & Visualization for business intelligence Tools and technologies I use: • Python, C++, R, JavaScript • TensorFlow, Keras, PyTorch, Scikit-Learn, HuggingFace, LangChain • Zephyr RTOS, FreeRTOS, ESP-IDF • Flask, Django, Node.js • AWS IoT Core, GCP, Docker, Kubernetes • Altium, KiCad, Eagle, EasyEda • MongoDB, MySQL, PostgreSQL, Cloud SQL • Pandas, NumPy, Matplotlib, Seaborn, SciPy Do reach out if you need something other than this, I may be able to help out and guide.