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𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝗮𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 $30𝗞–$40𝗞 𝘆𝗲𝗮𝗿𝗹𝘆 𝗯𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝘀𝗮𝗹𝗲𝘀, 𝗮𝗻𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 I have partnered with 10+ companies across real estate, healthcare, social media, education, manufacturing, cybersecurity, and enterprise SaaS to deploy production-ready AI agents that handle calls, schedule appointments, and send real-time notifications to owners for important emails. These are fully operational systems running 24/7. 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲: ➞ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 — Voice AI receptionist that answers calls and texts 24/7, books appointments, and qualifies leads automatically · Helps businesses stop missing customers, reduce response delays, and free up teams to focus on sales · Trusted by 500+ businesses, with 2M+ conversations handled, 5,000+ appointments booked, $2.5M+ client savings, and 99% uptime. ➞ 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐈 — Built 𝐀𝐈 𝐦𝐞𝐞𝐭𝐢𝐧𝐠𝐬 into appointments and developed an AI agent that listens to consultations, drafts prescriptions for physicians, and generates clear action lists for patients automatically ·𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐯𝐞𝐝: 30+ by AI agents through continuous recovery-plan monitoring and early provider alerts when health dropped below the threshold · 𝐝𝐨𝐜𝐭𝐨𝐫 𝐡𝐨𝐮𝐫𝐬 𝐬𝐚𝐯𝐞𝐝: 5/week by reducing prescription-writing and routine documentation time. ➞ 𝐂𝐍𝐂 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 — AI-powered system that captures images of each finished part, compares them with drawings, and creates smart inspection reports · 𝐒𝐚𝐯𝐞𝐝 15 𝐡𝐨𝐮𝐫𝐬/𝐰𝐞𝐞𝐤 by cutting manual work and reducing errors · Uses computer vision and Claude to make quality checks faster, easier, and more accurate. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: ✅ 𝐀𝐈 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, Vertex AI, MCP Servers ✅ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: AI Agents, Multi-Agent Frameworks, Agentic Workflows, Workflow Orchestration, Autonomous AI Systems ✅ 𝐕𝐨𝐢𝐜𝐞 & 𝐒𝐩𝐞𝐞𝐜𝐡 𝐀𝐈: Retell AI, OpenAI Realtime API, OpenAI TTS, ElevenLabs, Whisper, Voice AI Agents, Speech-to-Text, Text-to-Speech ✅ 𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: RAG Pipelines, Pinecone, Weaviate, ChromaDB, Azure AI Search, Amazon OpenSearch, Hybrid Search ✅ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: PDF Parsing, OCR, PO Automation, Document Q&A, ERP Integration, NetSuite, Oracle ✅ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, Deep Eval, LLM Evaluation, Prompt Testing ✅ 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Prompt Design, Chain-of-Thought, Prompt Chaining, System Prompt Architecture, Prompt Optimization, Structured Outputs, Function Calling. ✅ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬: GPT-4o, GPT-4 Turbo, GPT-o1, GPT-o3, Claude Sonnet, Claude Opus, Claude Haiku, Gemini 1.5 Pro, Gemini 2.0 Flash, Whisper, ElevenLabs ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐈𝐧𝐟𝐫𝐚: Python, FastAPI, Django, Flask, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean ✅ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Streamlit ✅ 𝐃𝐚𝐭𝐚: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Celery, ETL, Data Pipelines ✅ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite ERP, Zapier, Make, Slack, MS Teams, Stripe, REST, GraphQL

🚀 I help startups and businesses build AI agents, RAG systems, chatbots, and workflow automation that save time, reduce costs, and improve customer experience. Over the last few years, I've delivered production-ready AI applications for clients worldwide, combining LLMs, backend engineering, cloud infrastructure, and automation into scalable business solutions. What I Can Build AI Agents & Multi-Agent Systems ✔ OpenAI, Claude, Gemini & Open Source LLMs ✔ Open Source LLMs Model deployment and finetuning ✔ LangGraph & Agentic Workflows ✔ Tool Calling & Function Execution ✔ Autonomous Task Automation ✔ MCP Integration RAG & Knowledge Base Systems ✔ Company Document Search ✔ Internal Knowledge Assistants ✔ PDF, DOCX & Website Knowledge Bases ✔ Vector Databases (Pinecone, Weaviate, Chroma, FAISS) ✔ Advanced Retrieval Pipelines AI Chatbots ✔ Customer Support Bots ✔ SaaS AI Assistants ✔ Website Chatbots ✔ WhatsApp & Telegram Bots ✔ Custom Business Assistants AI Automation ✔ n8n Workflows ✔ Make dot com Automation ✔ CRM Automation ✔ Lead Qualification Systems ✔ Business Process Automation Computer Vision Solutions ✔ OCR & Document Processing ✔ Image Recognition ✔ Object Detection ✔ Face Recognition ✔ Image Analysis Pipelines Technical Stack AI & LLMs: OpenAI, Claude, Gemini, Llama, LangChain, LlamaIndex, LangGraph Backend: Python, FastAPI, Django, Node.js, Spring Boot, Golang Cloud: AWS, Azure, GCP Databases: PostgreSQL, MySQL, BigQuery, Vector Databases DevOps: Docker, CI/CD, GitHub Actions Why Clients Work With Me ✅ Top Rated Freelancer ✅ Production-Ready Solutions ✅ Strong Backend + AI Expertise ✅ Clear Communication ✅ Long-Term Support I focus on delivering AI solutions that create measurable business value—not just demos or prototypes. 📩 Let's discuss how AI can automate your workflows, improve customer experience, and accelerate your business growth.

Senior audio software developer, passionate about audio, technology, and music. CEO & Co-Foudner of Edge Audio Labs, a company specialized in audio and music software development. My team and I build audio products end to end, including audio plugins, desktop and mobile apps, DSP, AI for audio, cloud backends, embedded systems, licensing, QA, UI/UX, and launch-ready product support. My expertise includes C++, JUCE, Python, PyTorch, ONNX, FastAPI, AWS, Vercel, VST3, AU, AAX, iLok, Audinate Dante, AoIP, and cross-platform development for macOS, Windows, iOS, Android, and embedded environments. We’ve worked on analog emulation, AI vocal synthesis, voice and singing technology, cloud-based audio systems, MIDI and music analysis tools, AI audio analysis, embedded audio hardware, and distributed real-time audio platforms. I also bring real-world experience in live sound, theatre, and studio work, plus a musician’s perspective as a drummer and guitarist. This helps me understand both the technical and creative side of audio products. Former college professor in the Audio Technology Department at ORT University, with strong experience leading teams and turning complex ideas into polished products.

I build production-ready AI systems for businesses that want to automate workflows, integrate LLMs, and launch reliable AI features — not just demos. My core work includes RAG applications, AI agents, chatbots, workflow automation, FastAPI backends, Dockerized deployments, and cloud-based AI integrations using OpenAI, LangChain, Python, and vector databases. Most AI developers can connect an API. Very few can ship a system where the AI behaves reliably under real-world constraints. That's the gap I fill. 🎯 I help businesses integrate AI into their workflows and deliver practical solutions that solve real problems. 🚀 What I've Actually Shipped: ✅ A full agentic pipeline that extracted structured clinical trial data from unstructured medical PDFs and published HL7 FHIR resources via REST API — reducing manual extraction time by ~70% ✅ A Clinical Decision Support System for heart failure — processed unstructured doctor notes, extracted 10+ clinical parameters via NLP, and generated GPT-4-powered treatment recommendations with safety constraints ✅ A FastAPI-based quantitative research platform — modular backend handling market data ingestion, backtesting, optimization, and AI-assisted report generation for an international client ✅ A Cloud-Native LLM Inference System — OpenAI-compatible endpoint using vLLM and Modal GPU infrastructure, sub-200ms latency 🧠 Where I'm Genuinely Different: Healthcare AI is my sharpest edge. HL7 FHIR, AWS Comprehend Medical, clinical NLP — this stack is rare. If you're building anything touching medical data, patient workflows, or clinical AI, you won't find many engineers at any level who've shipped in this exact space. I also treat AI output with engineering discipline. I know when a model is hallucinating a field name. I know when structured output needs schema-controlled prompting to be safe. I build fallbacks, not faith. 🔒 ⚙️ Tech I Work With Daily: Python · FastAPI · Flask · Streamlit · OpenAI API · Google Gemini · AWS Comprehend Medical · HL7 FHIR · NLP · REST APIs · Docker · PostgreSQL · GitHub · Prompt Engineering · LLM Workflows 🤝 I Work Best With Clients Who: → Have a real problem, not just a vague AI curiosity → Want production-ready systems, not toy prototypes → Value clear communication and zero-surprise delivery 📩 Send me a message describing what you're building. If it's a fit, I'll tell you exactly how I'd approach it — before you commit to anything.

Availability: Full-time freelancer, 𝟰𝟬+ hours/week, open to long-term collaborations. I’m a Full-Stack & AI Engineer with 10+ years of experience building web and mobile applications and 3+ years of specialized experience in AI and Large Language Models (LLMs). I design, develop, and deploy production-grade platforms, from scalable SaaS dashboards to AI-powered assistants, RAG systems, and voice agents. I work end-to-end: architecture → backend → frontend → cloud deployment, with a focus on clean code, maintainable systems, and high performance. Over the past few years, I’ve delivered solutions that integrate AI/LLM pipelines, vector search, real-time chat, and voice agents for enterprise and startup clients. 🤖 AI & LLM Expertise - MCP Server Development: Designing and integrating custom MCP servers for AI agents, enabling structured tool usage, external system integrations, database querying, and API orchestration. - Fine-Tuning: Persona creation, Q&A systems, and domain-specific models (medical, legal) using Mistral and Llama 3. - Synthetic Dataset Generation: Streamlining LLM training with high-quality datasets. - Evaluation Frameworks: Assessing LLM performance with custom metrics. - Cloud Deployment: Deploying LLMs on AWS and GCP. - AI Agents & Voice Bots: Proficient with LiveKit, Retail AI, OpenAI. - Open-Source Deployment: Expertise deploying models like vLLM on AWS/GCP/RunPod using SkyPilot. 🛠️ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 ➜ LLM Tools: LangChain, Langsmith, Langfuse , Hugging Face, Transformers. ➜ Vector Databases: Chroma, FAISS, Pinecone, Qdrant , Opensearch ➜ AI Workflows: Flowise AI, LangFlow, StackAI. 🛠️ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ➜ Languages & Frameworks: Python, Node.js, ReactJS. ➜ Database Management: MongoDB, MySQL, PostgreSQL , Supabase , FIrebase ➜ Frontend & Backend Integration: Seamlessly connecting APIs and user interfaces. 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 ➜ Open-Source LLMs: Proficiency in LLAMA 3, Mistral 7B, and Mixtral 8x7B. ➜ Prompt Engineering: Expertise in techniques like Chain of Thought, Few-shot Prompting, and Self-Reflection. ➜ Fast Inference: Implementing high-speed solutions with vLLM . 🌟 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? With over 10 years of experience, I deliver scalable, cutting-edge solutions tailored to your project’s needs. Whether it's advanced AI models, MCP server development, LLM optimization, or full-stack development, I ensure top-notch results every time. Let’s collaborate to bring your ideas to life!

Hi, Let's turn your AI vision into reality! I'm a Top-Rated Plus AI Engineer specializing in enterprise-grade AI solutions, multi-agent systems, and scalable backend architecture. With 3+ years of focused AI development experience and a proven track record at multinational companies, I transform complex business requirements into intelligent, production-ready applications that drive measurable results. 🎯 Core Specializations: Agentic AI & Multi-Agent Systems Expert in building cutting-edge agentic applications using LangGraph, CrewAI, and Model Context Protocol (MCP). I develop custom multi-agent architectures tailored to specific business use cases, enabling intelligent automation and decision-making systems. Advanced RAG Applications Built 8+ production RAG systems with self-RAG and adaptive architectures. Specialized in implementing evaluation frameworks and optimizing retrieval accuracy for enterprise-scale applications across multiple industries. LLM Fine-tuning & Cost Optimization Proven expertise in instruction fine-tuning (GPT-4o mini), custom model training, and cost-effective model replacement strategies. Successfully reduced client AI costs by up to 40% while maintaining performance through strategic open-source model implementation. Enterprise Backend Development Master-level proficiency in Python (FastAPI, Flask), database design with Alembic versioning, and cloud deployment across AWS, Azure, and GCP. Built scalable systems handling enterprise-level workloads with robust CI/CD pipelines. 💡 Technical Arsenal: AI/ML Frameworks: LangChain, LlamaIndex, Ollama, TGI, VLLM Vector Databases: Weaviate, Pinecone, FAISS, ChromaDB Data Processing: PDF, DOCX, PPTX, Excel, images (OCR), web scraping Models: OpenAI, Claude, Gemini, fine-tuned open-source models MLOps: Docker, CI/CD pipelines, Airflow, model versioning, evaluation frameworks Computer Vision & NLP: Custom model training, Stable Diffusion, OCR optimization Backend: PostgreSQL, MySQL, MongoDB, database versioning with Alembic Cloud & DevOps: AWS, Azure, GCP, containerization, Scalable deployment ✅ Why Choose Me: Proven Excellence: Top-rated freelancer with enterprise-level project experience and multinational company background and startup companies Innovation-Driven: Stay ahead of AI trends, implementing cutting-edge technologies like MCP, adaptive RAG, and latest LLM advancements daily Cost-Conscious Solutions: Specialize in building high-performance AI systems that optimize costs without compromising quality Full-Stack Capability: While AI/ML focused, I possess frontend integration skills and can deliver complete end-to-end solutions Exceptional Collaboration: High availability, flexible timing, proficient with GitHub/GitLab workflows, and always eager to explore new technologies Quality Standards: Write production-grade code, implement proper testing frameworks, and follow industry best practices for maintainable and scalable solution.