Hire the Best Neural Style Transfer Specialists

🚀 Expert AI Agent Engineer | LLMs | RAG | Context Engineering | Agent Platform ⚽️ What I can do for you : ✦ Design and build multi-agent systems where specialized agents collaborate to complete complex, multi-step tasks (using LangChain, LangGraph, CrewAI, or raw OpenAI/Anthropic APIs) ✦ Implement tool-use and function-calling pipelines (web search, database queries, API calls, code execution, and custom business logic) ✦ Build RAG-powered agents that retrieve and reason over your proprietary documents (PDF, Excel, internal knowledge bases) ✦ Build GraphRAG agents backed by a knowledge graph for structured, relationship-aware reasoning ✦ Automate agentic workflows with n8n or Celery - triggered by schedules, events, or user input, running fully autonomously ✦ Deploy agents as production-ready REST APIs (FastAPI) on AWS (EC2, Lambda) with scalable, async architectures ✦ Integrate agents into your existing systems and products with clean, maintainable interfaces What I specialize in: - RAG & GraphRAG systems: including knowledge graph-powered assistants for clinical diagnosis support or Customer Support - LLM Agents & multi-agent workflows: autonomous pipelines that handle complex, multi-step user requests - LLM fine-tuning: on OpenAI, Gemini, Groq, and open-source models for domain-specific tasks - End-to-end AI pipelines: from raw data ingestion (PDF, Excel) to vectorization, retrieval, and API delivery Results I've delivered: - Built a healthcare GraphRAG assistant that processes 100MB+ clinical documents and analyzes node relationships in under 3 minutes — shipped in 1 month - Contributed to an AI brand monitoring platform that helped acquire 10 paid clients within 2 months of launch - Delivered a banking LLM chatbot achieving 80% accuracy within a 1-month development window - Achieved 92% license plate recognition accuracy on a constrained dataset of only 300 images for a Panasonic parking system Beyond execution, I actively track the latest SOTA research, reading recently published papers and integrating cutting-edge approaches directly into production systems. Your project benefits not just from solid engineering, but from knowledge of what actually works in practice right now. I'm always ready to connect. Please don't hesitate to message me.

Senior AI Engineer | Generative AI | Full Stack ML Systems | YOLO Expert | MLOps I’m a specialized AI/ML engineer with over 3 years of hands-on experience designing and deploying end-to-end machine learning systems — from custom LLM pipelines and vision models to scalable backend integrations and autonomous AI agents. I work at the intersection of deep learning, production-ready engineering, and AI-driven product development. Specialties: Computer Vision & Object Detection • Full expertise across all YOLO variants: YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLO-NAS • Custom training with annotated datasets (COCO, Pascal VOC, custom formats) • Model compression, quantization, ONNX/TensorRT export for edge deployment • Real-time inference APIs, multi-object tracking (DeepSORT, ByteTrack) • Medical and industrial use-cases (e.g., diagnostics, defect detection) LLMs & Generative AI • Local + API-based LLM integration: OpenAI, LLaMA, Mistral, Falcon, GPT-J • RAG architecture using FAISS, Chroma, Weaviate, Qdrant • LangChain agent chains: tool use, memory, routing, and personalization • Multi-modal pipelines: text + image + document reasoning MLOps & Deployment • FastAPI, Docker, TorchServe, BentoML for scalable deployment • Model optimization: pruning, quantization, batching • GPU-accelerated workloads (AWS, Lambda Labs, GCP) • CI/CD pipelines for reproducible ML development Full Stack AI Engineering • Frontend: React, Next.js, Tailwind • Backend: FastAPI, Node.js, RESTful + WebSocket APIs • Databases: PostgreSQL, MongoDB, Redis • Autonomous agents with Playwright, ScrapeGraphAI, Selenium, LangGraph Project Highlights: • YOLOv11-based Smart Surveillance: Deployed real-time detection + tracking for multi-class scenarios with alerting pipeline and frontend dashboard. • Medical VQA & Reporting: Created a multi-modal system that extracts diagnostic details from X-rays + generates detailed reports using VQA + LLMs. • AI Search Agent: Built an autonomous search bot using LLMs + real-time scraping with memory and historical context integration. • Document Generation Platform: Custom-built platform using local LLMs to generate reports, contracts, and structured documents with fine control. Why Hire Me? • Expert in both research-level ML and scalable production systems • Proven experience with high-impact, real-world AI projects • Focus on clean code, optimization, and long-term maintainability • Strong communicator who aligns deliverables with your business goals Let’s build something advanced. Drop a message — I respond fast and speak your tech language.

I help brands and creators turn ideas into stunning visual narratives using AI. With expertise in generative AI, video production, and visual storytelling, I craft content that engages, inspires, and converts audiences. AI Tools I Use & Specialize In: - Midjourney - Magnific AI - Adobe Firefly - Seedance 2.0 Platforms: - Freepik AI - Higgsfield AI - Magnific AI 🎨 "What If" Concept Campaigns – Imagining unexpected brand collaborations and visualizing them with AI. 📸 AI-Powered Editorial Photography – Create stunning campaign visuals and product photos using AI. 🎬 AI-Generated Video Content – Produce engaging videos for brands and social media using AI. 🛍️ AI-Powered Product Placement & Photos – Integrate products naturally into images and videos with AI. 💡 Creative Direction with AI – Manage projects end-to-end using AI-powered content strategies.

AI & Machine Learning Engineer | NLP | Generative AI | LLMs | Prompt Engineering | Data Science I help businesses build intelligent systems that work — at scale, in production, and with measurable results. With 3+ years of hands-on experience as an ML and AI Engineer, I specialize in: ✅ Machine Learning & Predictive Modeling — Building and deploying ML models using Python, TensorFlow, Scikit-learn, and PyTorch for regression, classification, forecasting, and recommendation systems. ✅ Generative AI & LLMs — Developing RAG pipelines, AI chatbots, and custom LLM applications using OpenAI GPT, LangChain, and Hugging Face Transformers. Fine-tuning models for domain-specific tasks. ✅ NLP & Text Analytics — Sentiment analysis, topic modeling, text classification, named entity recognition (NER), and document processing pipelines. ✅ AI Engineering & MLOps — End-to-end AI system design, REST API development with FastAPI/Flask, model deployment on AWS/Azure/GCP, and CI/CD for ML pipelines. ✅ Prompt Engineering — Crafting optimized prompts for GPT-4, Claude, and other LLMs to maximize accuracy, relevance, and brand alignment for business applications. ✅ Computer Vision — Object detection (YOLO), image segmentation, OCR, and real-time video analytics systems. ✅ Data Analytics & Visualization — Power BI dashboards, SQL-based data pipelines, and actionable business intelligence reports. Tech Stack: Python | TensorFlow | PyTorch | Scikit-learn | LangChain | OpenAI API | Hugging Face | FastAPI | Flask | AWS | Azure | SQL | Power BI | Docker I hold a PhD in Data Science (University of Canterbury) and an MPhil in Computer Science (Quaid-e-Azam University), plus certifications from DeepLearning.AI and AWS. Whether you need an ML model built from scratch, an AI chatbot integrated into your product, or a full generative AI pipeline — I deliver production-ready solutions, not just experiments. Let's build something intelligent together.

I create realistic AI-generated visuals for social media, ads, and product-based brands, with a strong focus on clean, premium aesthetics. I work with tools like Nana Banana Pro 2 and Seadream 5 Lite for image generation, Kling 2.5 for video, ElevenLabs for voice, and CapCut for editing and final refinement. I specialize in generating high-quality visuals, including close-up shots and detailed imagery, where realism and consistency are important. I pay special attention to skin texture, lighting, and natural-looking results. I refine and adjust outputs to match specific styles and brand needs, combining creative direction with technical execution. I’m detail-oriented, reliable, and focused on delivering high-quality results that meet each client’s goals. Clear communication and a professional approach are always a priority.

About 7 years of architecting data-driven enterprise-grade solutions for top-tier corporations, I've now strategically transitioned to freelancing and contract-based roles. My mission? To bring that production-level expertise, spanning classical ML, deep learning, NLP, MLOps, and the cutting edge of LLMs directly to forward-thinking businesses ready to redefine their capabilities. Here’s a snapshot of the technologies I bring to the table: - Classical Machine Learning: Proficient in a wide array of traditional ML algorithms, including K-means, Random Forest, Logistic Regression, Support Vector Machines (SVMs), Gradient Boosting (XGBoost, LightGBM), and more, ensuring robust predictive modeling and insightful data analysis. - Deep Learning & Neural Networks: My expertise extends to advanced deep learning architectures, encompassing Convolutional Neural Networks (CNNs) for computer vision, Recurrent Neural Networks (RNNs), and Transformers. I leverage frameworks like PyTorch and TensorFlow to build and deploy sophisticated deep learning models. - Natural Language Processing (NLP): From fundamental text processing to cutting-edge language understanding, I specialize in NLP techniques, including Named Entity Recognition (NER), sentiment analysis, text summarization, topic modeling, and advanced language generation. I'm particularly adept at working with Hugging Face transformers and various NLP libraries. - Large Language Models (LLMs) & Generative AI: I have hands-on experience in implementing and fine-tuning Large Language Models (LLMs), including working with OpenAI API for custom solutions. My capabilities include developing and deploying Generative AI pipelines for tasks like RAG (Retrieval Augmented Generation), Stable Diffusion, Text-to-Speech, Image Segmentation, and advanced content creation. - MLOps: Beyond model development, I understand the critical importance of operationalizing AI. I have experience with MLOps practices for seamless deployment, monitoring, and management of machine learning models in production environments, ensuring scalability and reliability. I'm highly skilled in essential programming languages like Python (Pandas, Scikit-learn, NumPy) and R, alongside SQL and SAS, to build, analyze, and optimize these systems. I've optimized ML/AI systems right down to the GPU programming level, ensuring maximum performance and efficiency for compute-intensive workloads.