Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

Expert-Vetted (Upwork Top 1%) I help companies design, validate, and ship AI products fast with a strong focus on AI Agents, Generative AI, and production-ready ML systems. I’m an AI Developer, AI Engineer, and fractional CTO with 9+ years in Machine Learning and software architecture. My work focuses on building AI-powered products that move from idea to working MVP in 3-7 weeks using a structured delivery approach. As a co-founder of Softermii, a full-cycle AI and custom software development company, I lead teams that turn AI strategy into deployed systems - from data pipelines and LLM orchestration to scalable backend architecture and enterprise integrations. 🚀 Core Focus - AI Agent Consulting & Delivery I provide consulting and implementation for agentic AI systems that observe, reason, and act across business workflows. This includes: • AI Agents & Autonomous Workflows • LLM-powered Products and Copilots • RAG Systems and Knowledge AI • AI Orchestration Architectures • AI Integration into existing platforms • AI MVP validation and architecture design My approach combines strategy, architecture, and delivery - helping companies avoid costly overengineering and ship production-ready AI faster. 🧠 What I Deliver • AI Consulting and Technical Strategy • Agentic AI System Design • Generative AI Development • Machine Learning and Predictive Analytics • AI App Development and Automation • NLP, Computer Vision, and Data Science • Enterprise AI Integration and Modernization I work across Healthcare, FinTech, Logistics, Real Estate, and E-commerce, building systems that improve operations, reduce manual work, and unlock new revenue streams. 🏢 About Softermii Softermii is a full-cycle AI development company delivering enterprise AI systems with measurable business impact. We handle the full lifecycle - discovery, architecture, model development, integration, deployment, and optimization. Our work includes: • AI MVPs in 4–8 weeks using structured delivery methodology • HIPAA / SOC2 / GDPR-ready solutions • AI integration with ERP, CRM, and legacy systems • Dedicated AI teams and fractional CTO leadership ⚙️ Technologies Python, TensorFlow, PyTorch, LangChain, LLM APIs (OpenAI, Claude, Gemini), AWS SageMaker, Vertex AI, Docker, Kubernetes, MLOps pipelines, vector databases, real-time AI systems. If you’re looking for a partner who can design the right AI solution and actually ship it, let’s talk.

I build production-grade 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 that achieve 𝟲𝟬–𝟴𝟬% 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 in live enterprise environments across healthcare, fintech, recruitment, and operational workflows. With a 𝐏𝐡.𝐃. 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐒𝐭𝐮𝐭𝐭𝐠𝐚𝐫𝐭 (𝐆𝐞𝐫𝐦𝐚𝐧𝐲) and a Habilitation from 𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 (𝐔𝐒𝐀), I bring a rare combination of real-world production engineering experience and deep academic research expertise in 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. If you need an AI system that actually works in production, handles edge cases, logs every decision, and integrates cleanly into your existing operations that is exactly what I build. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Autonomous systems that reason, plan, and execute real tasks: • MCP-based orchestration routing tasks across sub-agents in real time. • Stateful flows with conditional routing, persistent memory, and LangSmith monitoring. • Human-in-the-loop checkpoints before any irreversible action fires. • Full action logging and automatic. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, CrewAI, AutoGen, OpenAI Agents, Claude, MCP, LangSmith 𝐑𝐀𝐆 & 𝐋𝐋𝐌 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • Enterprise-grade knowledge assistants. • Structure-aware chunking, hybrid semantic and metadata search. • Vector database integration for scalable retrieval • Hybrid search and structured context systems 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Pinecone, Weaviate, Qdrant, LlamaIndex, OpenAI, Claude, Mistral, graph-based retrieval 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • AI voice agents for sales, support, and operations • Real-time call reasoning and response generation • CRM integration and post-call automation • Speech-to-text and text-to-speech pipelines 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: VAPI, Twilio, ElevenLabs, Whisper, LiveKit 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐲𝐬𝐭𝐞𝐦 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 • Event-driven automation pipelines • Workflow automation for business processes • LLM layers for parsing, normalisation, and structured output at every step • API integrations with CRMs and internal tools 𝐓𝐨𝐨𝐥𝐬: n8n, Make, Zapier, HubSpot, Salesforce, GHL, FastAPI, REST APIs 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 • Predictive ML for scoring, ranking, and classification • Ensemble models (XGBoost, Random Forest, neural networks) in production pipelines • Adaptive grading and learning intelligence systems • Real estate tokenization analytics, Python, AWS, Neo4j • LoRA / QLoRA fine-tuning with full MLOps deployment 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python, scikit-learn, PyTorch, XGBoost, Hugging Face, FastAPI, PostgreSQL, AWS, Neo4j 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 • Deterministic and controlled agent workflows • Traceable retrieval systems with structured outputs • Hybrid architectures combining LLMs + external tools • Human-in-the-loop safety for critical operations • Logging, observability, and failure handling built-in • ML models and LLMs treated as composable components 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 • Production-ready AI agent systems • Enterprise RAG and knowledge systems • End-to-end automation pipelines • API-driven AI integrations • Scalable, maintainable AI architectures 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤 • 𝗟𝗟𝗠𝘀: Claude, GPT-4o, Gemini, Mistral, open-source models via Hugging Face routed across providers based on latency and cost tradeoffs using OpenRouter • 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangGraph, CrewAI, LangChain, AutoGen, MCP orchestration • 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Pinecone, Weaviate, Qdrant, Milvus, graph-based retrieval, hybrid semantic + metadata search • 𝐕𝐨𝐢𝐜𝐞 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥: VAPI, ElevenLabs, Twilio, Whisper, LiveKit • 𝗙𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻: LoRA, QLoRA, domain-specific model evaluation, Hugging Face deployment pipelines • 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier, webhook pipelines, REST APIs, HubSpot, Salesforce, Gmail, Microsoft 365, GHL • 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Python, FastAPI, TypeScript, PostgreSQL, Redis, Docker, CI/CD • 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Tailwind CSS for AI-powered dashboards, operational interfaces, and client-facing agent portals • 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐦𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐚 𝐫𝐞𝐚𝐥𝐢𝐭𝐲!

I help startups and enterprises convert images and documents into production-ready AI features (OCR → structured data, image classification, medical imaging, and image captioning). I design, train, and deploy models end-to-end using PyTorch/TensorFlow, Hugging Face, OpenCV and FastAPI so you get reliable predictions and a maintainable backend. What I deliver: prototype → model → API → deployment. Typical outcomes: decrease manual labeling/processing by 60–90%, improve model accuracy from baseline to production standards, and ship an API for seamless integration. Tools & process: Data pipeline + augmentation → model selection & training (transfer learning / UNet / nnUNet / transformers) → experiment tracking (MLflow) → RESTful serving (FastAPI / Docker) → monitoring. Recent wins: Built an Image Caption Generator deployed via FastAPI; improved an existing CNN’s accuracy (client case) and contributed to a nnUNet medical imaging pipeline. (Check portfolio for short case studies.) Availability: 30+ hrs/week, open to contract-to-hire. Message me with 1) a short project description, 2) sample data, 3) desired deliverable (prototype, deployable API, or evaluation report) — I’ll reply with next steps and an estimate.

I am a Machine Learning Engineer, Deep Learning Specialist, and Data Scientist with hands-on experience building production-ready AI systems using Python, PyTorch, TensorFlow, and Keras. I specialize in Computer Vision — including real-time object detection (YOLOv8/YOLO), image classification (CNN, ResNet, EfficientNet), image segmentation, and video analytics using OpenCV. I also work extensively on medical imaging, OCR, and gesture recognition. My models have achieved up to 90% accuracy in real-world classification tasks. My work spans both research-grade and fully deployed AI solutions. 🔧 What I Build For You: • Custom ML/DL models: CNNs, RNNs, Transformers, Foundation Models • Computer Vision systems: object detection, OCR, gesture recognition, segmentation • End-to-end pipelines: data preprocessing → model training → deployment • Predictive models and classification systems using PyTorch, TensorFlow, or Scikit-Learn • Data Science solutions: EDA, feature engineering, statistical analysis, visualization • Preprocess, clean, and annotate image/video datasets • Improve model accuracy, reduce overfitting, and optimize performance • Research projects with clean documentation and reproducible results • Convert academic ideas into working, deployable prototypes 🛠️ Tech Stack: Python | PyTorch | TensorFlow | Keras | OpenCV | Scikit-Learn | YOLO | ResNet | EfficientNet | XGBoost | NumPy | Pandas | Matplotlib ✅ Why Work With Me? • 100% Job Success Score & Rising Talent — every client has been fully satisfied • Fast response — I reply within 4 hours and keep you updated at every step • Clean, well-documented code — easy to understand, maintain, and scale • Honest & selective — I only take projects I am fully confident I can deliver with excellence • Research meets real-world — I bring both academic depth and practical deployment experience • Result-oriented — I focus on your business outcome, not just writing code • Long-term mindset — committed to your success beyond just one project Whether you need a custom AI model, a computer vision pipeline, a machine learning solution, or a data science project — I am here to deliver results you can trust. Let's build something intelligent together. Send me a message and let's get started! 🚀

Are you looking to integrate autonomous AI coding agents into your development pipeline, but worried about terminal security, runaway API token bills, or hallucinated code breaking your repository? I build secure, deterministic, and highly optimized development environments using Claude Code CLI and OpenClaw to safely automate your software engineering loops. Case Study 1: Enterprise Sandbox Isolation The Problem: A software team wanted to deploy the Claude Code CLI for local codebase refactoring but could not risk giving an autonomous AI model unrestricted access to their host terminal and sensitive system directories. The Solution: I built a hyper-isolated, resource-constrained Docker sandbox environment running custom pre-flight shell script filters to intercept and validate incoming AI-generated terminal commands. The Result: The team now runs Claude Code with absolute peace of mind, fully shielding their primary infrastructure from accidental file updates or infinity execution loops. Case Study 2: Custom Model Context Protocol (MCP) Infrastructures The Problem: An engineering team's OpenClaw multi-agent array was failing during complex tasks because the models lacked a secure, structured channel to query their local PostgreSQL databases and legacy APIs. The Solution: Developed a bespoke Model Context Protocol (MCP) server using Node.js and TypeScript, mapping explicit schema tools that allow the agents to securely call database migrations. Result: Enabled seamless cross-file refactoring and testing capabilities, reducing the model's task-failure rate by over 60%. Case Study 3: Context Optimization & Token Cost Control The Problem: The client's Claude Code setup was consuming massive token volumes on every run by blindly scanning compressed build assets, minified scripts, and massive repository directories. The Solution: Structured optimized .claudecode project configuration boundaries and implemented clear CLAUDE.md context frameworks to strictly manage file ingestion parameters. The Result: Reduced context window overhead and API token expenditure by 40%, significantly increasing the speed of the model's debugging feedback loops. 🛠️ Core Technical Expertise AI Tooling: Claude Code CLI, OpenClaw Framework, Model Context Protocol (MCP) Server Development Security & Environments: Docker Containerization, Sandbox Isolation, Shell Scripting, Custom API Guards Workflow Optimization: Test-Driven Development (TDD) AI Loops, Git Pre-Commit Review Hooks, CLAUDE.md Architecture Let's turn your manual developer bottlenecks into a secure, automated, and hyper-efficient agentic pipeline. Send me a message today to discuss your project parameters!

Hit me up for a free consultation or Audit. Most AI projects fail not because of bad ideas, but because nobody builds the right system behind them. I have delivered over 50 AI solutions across real estate, SaaS, healthcare and marketing. Not prototypes. Production systems. The kind that run daily, process hundreds of records and do not need me babysitting them. Clients describe me as committed to quality, clear in communication and someone who defines the right architecture before writing a single line of code. 𝗚𝗼𝘁 𝗮𝗻 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗯𝘂𝗶𝗹𝘁 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆? 𝗛𝗶𝘁 𝗜𝗻𝘃𝗶𝘁𝗲. Let's figure out the right architecture together. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: Automated 235+ daily CRM records for a real estate firm using AI powered inbound calling agent and multi-agent LangGraph orchestration. Built a Retrieval-Augmented Generation (RAG) knowledge assistant on Azure OpenAI for a healthcare SaaS platform. Worked as a Senior Voice-AI system engineer, integrated Retell and ElevenLabs for an enterprise medical company. Fine-tuned Meta MusicGen on a 30,000 track sonic library using PyTorch and Hugging Face, deployed on AWS/GCP. If any of that matches what you are trying to build, send me an invite. I respond within 0 to 4 hours. 𝗠𝘆 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: LLM & AI Core LangChain, LangGraph, GPT-4, Azure OpenAI Service, Retrieval-Augmented Generation (RAG), LLM Prompt Engineering Voice & Conversational AI Conversational AI, Natural Language Processing, Twilio API, AI Agent Development Automation & Workflows n8n, Make, Zapier, GHL, Airtable and Business Process Automation ML & Deep Learning PyTorch, Hugging Face, Deep Learning, Computer Vision Cloud & Infrastructure Microsoft Azure, AWS, GCP, CI/CD ------------------------------------ Use these keywords to find me Keywords: Artificial Intelligence, Machine Learning, Python, LangChain, LangGraph, LLM Prompt Engineering, Retrieval-Augmented Generation, RAG, Azure OpenAI Service, Azure Cognitive Services, Microsoft Azure, GPT-4, Natural Language Processing, Natural Language Understanding, Chatbot Development, AI Chatbot, Conversational AI, Voice AI, Twilio API, AI Agent Development, API Integration, API Development, Automation, n8n, Make, Zapier, Airtable, Business Process Automation, Multi-Agent Systems, Generative AI, Generative Models, Hugging Face, PyTorch, TensorFlow, Deep Learning, Computer Vision, OpenCV, LlamaIndex, Semantic Search, Microsoft Graph API, Outlook API, SaaS, Cloud Computing, AWS, GCP, Google Cloud Run, Next.js, Vercel, Docker, React, JavaScript, AI Builder, AI Model Integration, Web API, Botpress, Voiceflow, Stack AI, Nanonets, Microsoft 365 Copilot, Stable Diffusion, Audio Processing, Music Generation, Database Architecture, Architecture Consultation

AI Voice Agent Developer helping businesses automate calls, qualify leads, book appointments, and handle customer conversations using production-ready AI voice systems. I build AI Voice Agents, AI Receptionists, AI Calling Systems, and Conversational AI workflows that handle inbound and outbound communication while integrating directly into business operations. If your business is missing calls, responding slowly to leads, or struggling with manual follow ups, I design systems that capture, qualify, route, and engage customers automatically. These are not simple demos or disconnected workflows. I build production-ready systems using Retell AI, Twilio, Vapi, OpenAI, and ai automation. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 (𝗥𝗘𝗔𝗟 𝗦𝗬𝗦𝗧𝗘𝗠𝗦 𝗡𝗢𝗧 𝗝𝗨𝗦𝗧 𝗗𝗘𝗠𝗢𝗦) I specialize in building production ready AI voice and automation infrastructures that operate inside real business environments: • AI Voice Agents that answer calls immediately, speak naturally, and guide conversations • AI Receptionists for service businesses (booking, routing, FAQs, call handling) • AI Lead Qualification Systems for real estate, agencies, and sales teams • AI Appointment Scheduling Systems integrated with calendars and CRMs • Intelligent IVR Systems using Twilio, Retell AI, and Vapi • Outbound AI Calling Systems for follow-ups, reminders, and lead engagement These systems don’t just respond they take action: → Capture structured data → Update CRM records → Trigger workflows → Send SMS/email during or after calls → Route leads based on logic 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 & 𝗦𝗬𝗦𝗧𝗘𝗠 𝗜𝗡𝗧𝗘𝗚𝗥𝗔𝗧𝗜𝗢𝗡 Beyond voice, I build end to end automation ecosystems that eliminate manual work and keep your operations running without bottlenecks. Using tools like Make (Integromat), n8n, and custom APIs, I design workflows that: • Automatically assign and route leads • Trigger follow-ups across SMS, email, and voice • Sync data between multiple platforms in real time • Handle webhook-based events and backend logic • Manage pipeline stages and contact updates • Send internal alerts and notifications The goal is simple: zero delays, zero manual chasing, full visibility. 𝑪𝑹𝑴 𝑨𝑼𝑻𝑶𝑴𝑨𝑻𝑰𝑶𝑵 & 𝑳𝑬𝑨𝑫 𝑴𝑨𝑵𝑨𝑮𝑬𝑴𝑬𝑵𝑻 I implement smart CRM systems that ensure every lead is tracked, nurtured, and converted. 𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝘀𝗲𝘁𝘂𝗽𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • GoHighLevel automation and pipeline setup • Zoho CRM and HubSpot integrations • Lead capture and enrichment workflows • Automated nurturing sequences (SMS, email, voice) • Appointment reminders and reactivation campaigns • AI driven lead qualification logic 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 Retell AI | Twilio Voice | Vapi AI | OpenAI Realtime API Make com | n8n | Webhooks | REST APIs LiveKit | WebRTC | Node.js GoHighLevel | Zoho CRM | HubSpot | Airtable 𝗪𝗛𝗘𝗥𝗘 𝗧𝗛𝗘𝗦𝗘 𝗦𝗬𝗦𝗧𝗘𝗠𝗦 𝗪𝗢𝗥𝗞 𝗕𝗘𝗦𝗧 • Real Estate & Mortgage (lead qualification, follow-ups) • Healthcare & Clinics (appointment booking, reminders) • Home Services (AI receptionist, call handling) • Agencies (lead routing, automation pipelines) • SaaS & Tech (user onboarding, support automation) 𝗪𝗛𝗔𝗧 𝗠𝗔𝗞𝗘𝗦 𝗠𝗬 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 Most developers connect tools. I build reliable, real world systems that actually work under pressure: • Instant call pickup (no awkward delays) • Clean, structured data handling • Stable integrations across multiple platforms • Logic-based automation (not just triggers) • Scalable architecture for high call volumes Every system is designed for performance, not just functionality. 𝑹𝑬𝑺𝑼𝑳𝑻𝑺 𝒀𝑶𝑼 𝑪𝑨𝑵 𝑬𝑿𝑷𝑬𝑪𝑻 • Faster response time (seconds, not hours) • Higher lead capture rate • Reduced manual workload • Better customer experience • More booked appointments and qualified leads 𝗪𝗛𝗢 𝗧𝗛𝗜𝗦 𝗜𝗦 𝗙𝗢𝗥 ✔ Businesses missing calls or struggling with response time ✔ Teams overwhelmed with manual follow-ups ✔ Companies ready to automate lead handling and communication ✔ Founders who want scalable systems, not temporary fixes 𝗤𝗨𝗜𝗖𝗞 𝗡𝗢𝗧𝗘 If you’re looking for basic setups or the cheapest option, I may not be the right fit. But if you want a properly built AI voice and automation system that integrates into your business and delivers real results, then we will work well together... 𝗡𝗘𝗫𝗧 𝗦𝗧𝗘𝗣 Send me a message with: • How do you currently handle inbound calls or new leads? • Where do you feel leads are dropping off? I will break down exactly how to fix it and what your system should look like. KEYWORK {SEO} AI Voice Agent Developer | AI Phone Agent | Conversational AI Developer | Voice AI Automation | AI Receptionist Setup | AI Call Automation | AI Call Assistant | AI IVR System | Intelligent Call Routing | Real-Time Voice AI | OpenAI Realtime API | Voice Bot Development Twilio Voice Developer | Twilio IVR | Twilio Media Streams | Twilio Automation | Retell AI Developer | Vapi AI Developer | Synthflow AI | Dialogflow CX Expert

Senior Full-Stack Developer and AI Engineer with 10+ years of experience building AI-powered web and SaaS applications. Top Rated Plus on Upwork with 100+ projects delivered, including 25+ SaaS platforms, 28+ AI-powered applications, and 30+ mobile apps. I build production-grade systems, not demos. 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐯𝐨𝐢𝐜𝐞 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐭𝐨𝐨𝐥𝐬 𝐭𝐡𝐚𝐭 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐜𝐚𝐥𝐥𝐬, 𝐂𝐑𝐌𝐬, 𝐜𝐚𝐥𝐞𝐧𝐝𝐚𝐫𝐬, 𝐩𝐚𝐲𝐦𝐞𝐧𝐭𝐬, 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐚𝐧𝐝 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬. 𝑰'𝒎 𝒋𝒖𝒔𝒕 𝒂 𝒕𝒆𝒙𝒕 𝒂𝒘𝒂𝒚! What I build: AI Agents and Custom Automation I design AI agents, multi-agent workflows, and custom business process automation that handle real operations end to end: lead qualification, follow-up, document processing, customer support triage, and internal ops. Built with custom code and API integrations (webhooks, REST, third-party platforms), with human-in-the-loop approval where it matters, using OpenAI and Claude. I architect these as clean, maintainable systems, not brittle scripts. Full-Stack SaaS and MVPs I take validated ideas to working, multi-tenant SaaS products: user accounts, dashboards, admin panels, role-based access, subscriptions, and reporting. Stack: Next.js, React, Node.js, Nest.js, Python, FastAPI, Supabase, PostgreSQL, Stripe, and cloud deployment on AWS and GCP. Milestone-based delivery with a working build at every checkpoint. RAG and LLM Applications I build retrieval-augmented generation (RAG) systems and document intelligence pipelines: chat-with-your-documents, knowledge bases, structured extraction, and grounded, no-hallucination outputs. Using LangChain, Pinecone, Chroma, vector embeddings, prompt engineering, and contextual memory across GPT-4, Claude, Llama, and others. CRM and Lead Management Systems I build AI-driven lead management and CRM platforms: multi-source lead intake, AI lead scoring and qualification, automated follow-up sequences, pipeline tracking, and conversion reporting in a single dashboard. Voice and Conversational AI I build conversational and voice agents using Deepgram and Whisper (speech-to-text), ElevenLabs (text-to-speech), and Twilio and SignalWire for real-time call and IVR workflows. Core skills: Next.js, React, Vue.js, React Native, TypeScript | Node.js, Nest.js, Python, FastAPI, Laravel | OpenAI, Claude, Llama, LangChain, Pinecone, Chroma, RAG | Supabase, Firebase, PostgreSQL, MongoDB, AWS, GCP | Stripe, Twilio, ElevenLabs, Deepgram, webhooks, API integrations Why work with me: I take full ownership of your vision and deliver fast, with clean architecture and clear communication. When you work with me, you get a partner invested in shipping something that actually works and scales. If you are building an AI agent, an automation system, a SaaS MVP, or a RAG application, let's connect and bring it to life.

🤖 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 | 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 | 𝗟𝗟𝗠 𝗧𝗿𝗮𝗶𝗻𝗲𝗿 | 𝗔𝗜 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 | 𝗥𝗟𝗛𝗙 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 🎖 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 | 𝐓𝐨𝐩 𝟑% 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 ⏳ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 🎓 𝐌𝐒 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 | 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐍𝐋𝐏 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 🏢 𝐒𝐜𝐚𝐥𝐞 𝐀𝐈 · 𝐍𝐕𝐈𝐃𝐈𝐀 · 𝐒𝐭𝐚𝐧𝐟𝐨𝐫𝐝 𝐋𝐚𝐛 · 𝐌𝐨𝐨𝐧 𝐕𝐚𝐥𝐥𝐞𝐲 · 𝐌𝐢𝐧𝐝𝐝𝐫𝐢𝐟𝐭 🔥 6+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 | 𝟓,𝟎𝟎𝟎+ 𝐓𝐚𝐬𝐤𝐬 | 𝟓𝟎+ 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐨𝐫𝐬 𝐋𝐞𝐝 5,000+ tasks. 50+ annotators led. 2 years AI Project Manager at Scale AI. AI Consultant for a live nonprofit. Virtual Assistant managing WordPress & GoDaddy. You've found the right person. I am an AI project manager, LLM trainer, RLHF specialist, virtual assistant, and generative AI consultant with an MS in Artificial Intelligence and 4 years on Upwork. I have managed large-scale LLM training pipelines, consulted on AI strategy, handled prompt engineering, and run end-to-end executive assistant and website operations for real clients. 🏆 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 — 𝗦𝗰𝗮𝗹𝗲 𝗔𝗜 - Led 50+ annotators across Urdu & English LLM training pipelines - Designed workflows, SOPs & QA frameworks from scratch - Managed prompt engineering, instruction following & response ranking - Monitored accuracy metrics, queue performance & delivery timelines - Contributed 5,000+ data labeling & LLM training tasks personally - Drove generative AI model training quality at production scale 🧠 𝗔𝗜 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 — 𝗪𝗵𝘆 𝗚𝗿𝗶𝗲𝗳 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 - AI consulting & workflow strategy for a live nonprofit mental health platform - Applying generative AI, NLP & ChatGPT workflows to sensitive content - Content quality assurance, editorial integrity & platform operations 🖥️ 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 & 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 - WordPress & GoDaddy website management - Email & calendar management · Calendly · Google Workspace - Workflow automation · Zapier · process optimization - CRM management · Trello · ClickUp · Notion · Asana - Social media management · Canva · CapCut - Customer service · community management · technical support 🤖 𝗔𝗜 𝗗𝗮𝘁𝗮 𝗟𝗮𝗯𝗲𝗹𝗶𝗻𝗴 & 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 - LLM training · RLHF · generative AI evaluation · prompt engineering - Data labeling · text annotation · sentiment analysis · NER - Image annotation · bounding box · object detection · classification - Video annotation · activity recognition · egocentric video - Content moderation · hate speech detection · AI quality assurance - Dataset creation · Label Studio · robot training data · MTPE 🔬 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁: Most AI project managers have never annotated data. Most virtual assistants have never managed an LLM pipeline. Most AI consultants have never led a 50-person remote team. I have done all three backed by an MS in AI and original NLP research: a BERT-CNN hate speech detection model and an anxiety detection chatbot in Roman Urdu. This combination of execution, leadership, and research-level AI expertise is genuinely rare on Upwork. ⚙️ 𝗧𝗼𝗼𝗹𝘀: Scale AI · Outlier · Remotask · Label Studio · WordPress · GoDaddy · ChatGPT · Zapier · Notion · Slack · Discord · Zoom · Google Workspace · Trello · ClickUp · Hubstaff · Calendly · Canva · CapCut · Office 365 Keywords: AI project manager · LLM trainer · RLHF · generative AI · prompt engineer · data labeling · text annotation · image annotation · virtual assistant · executive assistant · operations manager · workflow automation · Zapier · WordPress · GoDaddy · ChatGPT · Scale AI · content moderation · AI QA · NLP · dataset creation · remote team management 📩 Send me your project brief — I respond within the hour.