📩 Let’s build your next AI breakthrough—message me to get started. 🔹 Availability: Full-time (40–50 hrs/week) | Open to long-term & enterprise AI projects 🔹 Trusted AI/ML Engineer with 8+ years of experience delivering scalable solutions for startups and SaaS I am a Full-Stack AI/ML Developer specializing in AI integrations, backend systems, and scalable web applications. HIGHLIGHTS: ---------------- 6+ years as a Full-Stack AI/ML Developer Focus on performance-driven, scalable, SEO-optimized applications AI & LLM EXPERTISE: ---------------------------- Synthetic dataset generation & LLM evaluation frameworks LLM deployment on AWS, GCP, RunPod AI Agents & Voice Bots (CrewAI, AutoGen, Polly, Deepgram) Open-source LLM deployment using vLLM/TGI (SkyPilot) CORE SKILLS ----------------- Backend: Python (FastAPI, Flask, Django), APIs, automation Full Stack: MERN (MongoDB, Express, React, Node.js) Data & Automation: Web scraping, crawling, bots, data pipelines DevOps: Docker, Kubernetes, CI/CD (AWS, Azure, GCP) APIs: OpenAI, Stripe, Telegram, Binance, BetFair, OddsJam SERVICES --------------- ⚙️ Automation & Workflow Systems ⚙️ Trading Bots & Strategy Automation ⚙️ AI Dashboards & Data Visualization ⚙️ Custom Scripts & API Development ⚙️ Web Scraping & Data Extraction AI SPECIALIZATIONS: ---------------------------- AI & Voice Agents (CrewAI, AutoGen) LLM Fine-tuning (LoRA, QLoRA, RLHF, DPO) Open-source LLMs (LLaMA 3, Mistral, Mixtral) Fast inference (vLLM, TGI, DeepSpeed) RAG pipelines & vector search Prompt engineering & multi-agent systems I focus on building reliable, production-ready systems and long-term client partnerships by consistently delivering beyond expectations. Let’s discuss how I can add value to your project.

I’m a Data Scientist focused on building intelligent, real-world 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that go beyond analysis and actually drive decisions and automation. With a strong foundation in Machine Learning, Deep Learning, and Big Data Analytics, I specialize in developing agentic AI solutions systems that can handle complex tasks, automate workflows, and operate with minimal human intervention. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨: I design and build end-to-end AI solutions, especially for data-heavy industries like 𝐫𝐞𝐚𝐥 𝐞𝐬𝐭𝐚𝐭𝐞, where automation, data extraction, and intelligent decision-making create real business value. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Autonomous AI agents for workflow automation Multi-step task execution systems AI-driven decision support systems 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Data Scraping & Web Automation Text Mining & Data Labelling Data Cleaning & Preprocessing ETL Pipelines (Extraction, Transformation, Loading) Data Analysis & Visualization 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive Modeling & Classification Systems Deep Learning Architectures (CNNs, RNNs, Transformers) Model Optimization & Deployment 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Object Detection & Image Classification Face Recognition & Emotion Detection Image Enhancement (Super-Resolution, Stitching) Video Analysis & Activity Recognition GANs, Vision Transformers 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 : Sentiment Analysis & Text Classification Topic Modeling & Text Clustering Language Translation Systems Transformer-based Models 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Distributed Data Processing (PySpark) Databricks & Azure Synapse Analytics Scalable Data Pipelines 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, PHP 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, Keras, PyTorch Hugging Face, SpaCy, NLTK, Gensim 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: I focus on building solutions that are not just technically sound, but practical, scalable, and aligned with real business needs. Whether it's automating workflows, extracting insights from complex data, or deploying AI systems, my goal is to deliver solutions that create measurable impact. 𝐈’𝐦 𝐚𝐥𝐰𝐚𝐲𝐬 𝐨𝐩𝐞𝐧 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐢𝐝𝐞𝐚𝐬 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.

I am the Top 3 percent developer on Upwork having Pink badge, I help clients build products that are sharp, scalable, and results focused. I design and build production-grade AI systems powered by Large Language Models, Retrieval-Augmented Generation, intelligent chatbots, and autonomous multi-agent architectures that go beyond prototypes and deliver measurable business outcomes. My expertise lies in combining advanced AI modeling with scalable system design, enabling chatbots, agents, and multi-agent systems to operate reliably in real-world environments. 🔹 Core Expertise Generative AI Systems LLM integration using OpenAI, Gemini, Claude, and open-source models like LLaMA and Mistral Prompt engineering for deterministic outputs, structured responses, and controlled reasoning Tool-augmented generation and function calling for real-world execution Context management for long conversations and memory-aware systems RAG & Knowledge Systems End-to-end RAG pipelines with vector databases like Pinecone, FAISS, Weaviate Hybrid retrieval combining semantic search, keyword search, and metadata filtering Context optimization like chunking strategies, re-ranking, and compression Knowledge grounding for chatbots and AI assistants to reduce hallucinations AI Chatbots (Advanced) Conversational AI with multi-turn memory and contextual awareness Domain-specific chatbots for customer support, internal tools, and SaaS platforms Stateful chat systems with session memory and retrieval-backed responses Integration with APIs, CRMs, and external tools for actionable conversations AI Agents & Multi-Agent Systems Autonomous AI agents with task planning, reasoning, and tool usage Multi-agent orchestration where agents collaborate, delegate, and validate outputs Workflow automation agents for tasks like lead qualification, research, and execution Event-driven agent systems with feedback loops and self-correction Machine Learning & Deep Learning NLP pipelines, embeddings, and similarity search systems Fine-tuning and domain adaptation for LLMs Recommendation systems and predictive modeling Evaluation frameworks for model performance and reliability 🔹 System Design & Engineering I focus on building end-to-end AI architectures where chatbots and agents are part of a larger, reliable system. Backend systems using Python, FastAPI, Node.js Scalable architectures for chatbot platforms and agent workflows Vector database optimization and retrieval latency tuning Real-time inference systems for conversational AI Secure integrations with third-party APIs and enterprise systems MLOps & AI Infrastructure Deployment on AWS, GCP, Azure with GPU scaling CI/CD pipelines for AI systems and agent workflows Monitoring, logging, and observability for chatbot and agent performance Cost optimization for LLM-heavy applications 🔹 What I Build Intelligent AI chatbots with deep contextual understanding and action capabilities RAG-powered knowledge assistants for enterprises and SaaS products AI agents that automate workflows like lead qualification, support, and operations Multi-agent systems for complex task orchestration and decision-making Document intelligence systems for extraction, summarization, and structured insights AI copilots integrated into products for enhanced user experience 🔹 My Approach I design systems where chatbots and agents are not just interfaces, but intelligent decision layers. Focus on accuracy, latency, and cost trade-offs Build for edge cases and unpredictable inputs Ensure structured outputs for downstream systems Design modular architectures for scaling from single-agent to multi-agent systems 🔹 Differentiation Deep expertise in both LLMs and system-level architecture Experience building real-world chatbot and agent-based systems Strong understanding of multi-agent coordination and workflow automation Ability to convert complex ideas into scalable AI products Product-focused mindset with emphasis on measurable impact 🔹 Tech Stack Python, FastAPI, Node.js, LangChain, LlamaIndex, Pinecone, FAISS, Weaviate, OpenAI, Gemini, Claude, Hugging Face, Docker, Kubernetes, AWS, GCP If you are looking to build advanced AI chatbots, intelligent agents, or multi-agent systems, I can help you design and implement solutions that are technically robust and production-ready. Let us build systems that think, act, and scale.

TOP RATED PLUS | 100% JOB SUCCESS RATE FREE 20-MIN CONSULTATION - MESSAGE ME TO DISCUSS I specialize in designing and deploying production-ready AI systems that improve knowledge access, automate repetitive workflows, and transform document-heavy processes into efficient digital operations. My focus is building AI agents, document intelligence systems, and knowledge assistants that automate workflows, reduce operational effort, and make information instantly accessible. Whether you're processing thousands of documents, handling repetitive internal tasks, or building an AI-powered product, I can take it from idea to production deployment. Core Solutions: AI Knowledge Assistants - Enterprise RAG - Internal knowledge search - Chat with documents Document Intelligence - PDF processing - Information extraction - Compliance and reporting workflows AI Workflow Automation - Agentic workflows - Multi-step automation - Human-in-the-loop systems Custom AI Products - AI SaaS products - AI features - Backend integrations I am comfortable working on both new builds and complex existing systems, with a strong focus on: - Clean architecture - Scalability & multi-user systems - Cost-efficient AI design - Production reliability Tech & Tools : Python, FastAPI, n8n, Openclaw, Clawdbot, Moltbot, PyTorch, TensorFlow, Scikit-learn, OpenCV, Hugging Face, Transformers, LangChain, LlamaIndex, vector databases (FAISS, Chroma, Pinecone), Redis, Docker, and modern MLOps tooling. Recent Projects ✅ Built multi-user RAG platforms for document-heavy workflows ✅ Developed AI financial advisory systems with personalized recommendations ✅ Created AI-powered document intelligence solutions for large-scale knowledge retrieval ✅ Automated complex business workflows using AI agents and LLMs Why clients choose me: - I approach problems as an engineer, not just a prompt writer - I design AI systems meant to run in production - I communicate clearly and think long-term - I adapt quickly across AI domains and requirements If you're looking to automate workflows, build AI-powered products, or unlock value from your business knowledge and documents, let's discuss your project.

I m a Machine Learning Engineer and AI Automation Expert specializing in Generative AI, LLM pipelines, RAG architectures, and Computer Vision platforms deployed in production for fintech, compliance, sales automation, and developer tooling. ◆ I build LLM & RAG systems that automate complex workflows, cutting manual effort by up to 70% ◆ I deploy Computer Vision platforms that process real-time video at production scale ◆ I integrate ChatGPT, Claude & open-source LLMs into enterprise products within days, not months ◆ I design AI Agent pipelines that reduce operational costs and eliminate repetitive human tasks ◆ I deliver clean, documented, production-ready code on time, every time If your enterprise team needs to automate workflows, scale AI infrastructure, deploy real-time AI systems, or integrate LLMs into existing products, I build solutions that work in production, not just in demos. Core Expertise: ◆ Generative AI & LLMs: LangChain, LangGraph, OpenAI, ChatGPT Integration, Claude, LLaMA3, Mistral, Mixtral, Prompt Engineering ◆ RAG & NLP Engineering: Retrieval-Augmented Generation, vector search, semantic pipelines, NLP Engineer workflows ◆ Computer Vision: MediaPipe, OpenCV, BlazeFace, real-time video analysis, microexpression detection, Deep Learning ◆ AI Agents & Automation: AI Agent design, multi-agent systems, autonomous pipelines, AI Automation, AI Integration, AI Chatbot Development ◆ Vector Databases: Pinecone, Milvus, ChromaDB, FAISS, Qdrant ◆ Model Optimization: PyTorch, TensorFlow, Hugging Face, vLLM, LoRA, QLoRA, RLHF, GGUF, GPTQ, AWQ, reduce inference latency ◆ Cloud AI Infrastructure: AWS Bedrock, AWS SageMaker, GCP Vertex AI, Azure, scale AI infrastructure to production ◆ Voice & Speech AI: ElevenLabs, Deepgram, NVIDIA Riva, Amazon Polly ◆ Backend & MLOps: Python, FastAPI, Flask, PostgreSQL, MongoDB, Kafka, RabbitMQ, Docker, MLOps Selected Projects: ◆ LiarLiar.ai: Real-time AI lie detection embedded into Zoom, Google Meet & Microsoft Teams. Uses Deep Learning and computer vision to analyze microexpressions from live video feeds and flag deceptive behavior instantly, improving model accuracy to detect subtle facial movements in real time. Stack: MediaPipe · BlazeFace · OpenCV · Python · WebSocket · FastAPI ◆ FundEvolve: AI compliance engine for the fintech industry. Parses financial advice videos and cross-checks them against Canadian regulations using RAG and NLP pipelines. Helps legal review teams automate workflows and cut operational costs on manual compliance checks. Stack: RAG · Milvus · OpenAI API · Python · FastAPI · FFmpeg ◆ Castor: Enterprise sales automation AI Agent integrated with Salesforce. Pulls enriched lead data from LinkedIn, Google & ZoomInfo and generates hyper-personalized outreach emails using ChatGPT Integration, helping sales teams scale AI-driven outreach at enterprise level. Stack: LangChain · OpenAI API · Salesforce API · LinkedIn Scraper · Python · PostgreSQL ◆ Aviator: Generative AI developer productivity suite for large code repositories. Automates code review, PR summarization, and testing workflows using LLM pipelines to accelerate engineering velocity and deploy to production faster. Stack: LLMs · LangGraph · GitHub API · Python · FastAPI · Docker Industries I've worked in: Fintech · Legal AI & Compliance · Sales Automation · Developer Tools · Healthcare AI Why enterprise teams work with me: Enterprise projects need more than technical skill. They need clear communication, thorough documentation, compliance awareness, and reliable delivery. I integrate with your team and processes from day one, whether you're in fintech, legal AI, or scaling a SaaS platform. Available 40+ hrs/week. Let's scope your project.

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.

Your AI agent either runs in production at 3am or it's a demo. Mine runs, live today for a 5,000-employee US enterprise. 🏆 𝗘𝘅𝗽𝗲𝗿𝘁-𝗩𝗲𝘁𝘁𝗲𝗱 on Upwork, top 𝟭% of all freelancers platform-wide 📊 $𝟭𝟬𝟬𝗞+ earned across 𝟮𝟭 AI agent, RAG, and LLM engagements, 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀, 𝟭𝟬𝟬% JSS 🎯 𝟭,𝟭𝟱𝟮+ hours on AI agent, RAG chatbot, and LLM fine-tuning contracts ⚡ Founder of Super Cat Technology, an AI agent engineering team in 𝗛𝗼𝗻𝗴 𝗞𝗼𝗻𝗴 and 𝗟𝗼𝗻𝗱𝗼𝗻 💼 AI voice agent live in production at a US enterprise, plus enterprise RAG inside a 𝗕𝗶𝗴 𝟰 accounting firm ⭐⭐⭐⭐⭐ "Very highly recommend working with Cat. The quality of work, going the extra mile and idea or assistance given were truly outstanding. We will continue to work with Cat on many projects." (ML Advisor and CTO Roadmap client, 2025 Upwork engagement) I build AI agent systems for production, not pilot demos. I'm Cat, Founder and Fractional CTO at Super Cat Technology. Over a decade in production AI, NLP, and machine learning. For the last three years my focus has been AI voice agent and enterprise RAG deployments running 24/7 with evaluations, observability, and domain-specific LLM fine-tuning under the hood. As an AI agent engineer, my job is to close the gap between a working prototype and a system your ops team can trust at 2am. 🔶 𝗕𝗶𝗴 𝟰 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗳𝗶𝗿𝗺: enterprise RAG chatbot for junior auditors, multimodal RAG with OCR over compliance whitepapers and audit guidelines 🔶 𝗨𝗦 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲, 𝟱,𝟬𝟬𝟬+ 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀: 24/7 AI voice agent CSR call center with telephony, appointment booking, and AI agent tool-calling 🔶 𝗙𝗮𝗺𝗶𝗹𝘆 𝗼𝗳𝗳𝗶𝗰𝗲 𝗰𝗹𝗶𝗲𝗻𝘁: fine-tuned LLM with RAG over financial research, macro data, and portfolio holdings for an AI agent investment workflow 🔶 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗯𝘂𝗶𝗹𝗱 ($𝟯𝟳𝗞, 𝟮𝟰𝟳 𝗵𝗿𝘀): AI voice agent for a commercial voice product, 5-star feedback 🔶 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝘁𝗲𝗰𝗵 𝗦𝗮𝗮𝗦: AI agent NL query layer for natural-language property search 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗢 ✅ AI Voice Agent Development on LiveKit and similar stacks, with telephony, tool-calling, and 24/7 reliability for enterprise CSR, sales, and internal ops ✅ Enterprise RAG Chatbot Engineering: multimodal RAG pipelines over compliance libraries and internal knowledge bases, with OCR and table-parsing for semi-structured docs ✅ LLM Fine-Tuning on open-source models (Llama, Qwen 2.5, Phi, Deepseek, LLaVA) to ground AI agent behavior in domain-specific language and data ✅ AI Agent Architecture on LangGraph, LangChain, AutoGen, CrewAI, and SmolAgents, plus MCP servers connecting AI agent workflows to live business systems ✅ GraphRAG and LightRAG on Neo4J for structured-knowledge AI agent use cases where vector search alone is not enough ✅ Multimodal AI, VLM, and Enterprise OCR (CLIP, LLaVA, PaddleOCR, YOLO) feeding AI agent document understanding ✅ Fractional CTO and Technical Advisory: AI agent roadmap, architecture review, and team build to turn an AI agent prototype into production revenue 𝗪𝗛𝗢 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 🎯 Enterprise teams building AI voice agent and AI agent systems for customer service, sales, and internal ops, not one-off assistant pilots 🎯 Financial services, family offices, Web3, supply chain, and medical or regulatory-heavy organizations with real data and real AI agent stakes 🎯 Funded startups ready to move an AI agent MVP into production, not idea-stage brainstorming 🎯 Clients on time-and-materials or monthly retainer engagements who value senior AI agent engineering judgment over the lowest hourly bid 𝗠𝗬 𝗣𝗥𝗢𝗖𝗘𝗦𝗦 1️⃣ Discovery: walk through your AI voice agent or RAG use case, current stack, data realities, and what AI agent production actually needs to look like 2️⃣ Architecture proposal: AI agent flow, tool boundaries, fallback behavior, evaluation plan, and a realistic scope estimate, delivered within a week 3️⃣ Build and ship: production-grade AI agent system with evaluations, regression tests, and LLMOps tooling, not a demo that falls over on real traffic 4️⃣ Handoff or stay: train your team, or stay on as Fractional CTO while the AI agent matures in the wild Send me a message or invite me to your AI voice agent, enterprise RAG, or AI agent project. I respond within a few hours, 7 days a week, across US, UK, and EU time zones.

EXPERT-VETTED (TOP 1%) | 100% JOB SUCCESS Most AI projects look finished in a demo, then break in production. I build production-grade software. That means it holds up with real users : Scales under real traffic, not just a demo Secure and tested, not "looks fine, ship it" Clean architecture your next hire can build on Costs you can predict before you commit 25 years building software. Now my team and I direct AI agents across the full build and review every line before it ships. Fast, but not vibe coding. I AM A FIT IF YOU Have an idea but no technical leadership to run the build Have a vibe-coded app generating MRR but need a stable foundation under it Started building but need architecture and senior oversight to finish Want to use AI without losing control of your codebase REAL RESULTS A traditional build was quoted at $1.2M. My team and I delivered it for $95K, same scope. Replaced a client's manual spreadsheet process with a web app. Revenue up 71%. Architecture that held through 500% traffic growth 79M pricing calculations a month, in production WHAT WORKING WITH ME LOOKS LIKE Full team: I bring engineers, a product owner, a designer, and QA. I lead the architecture. AI executes. Nothing ships without senior review. Advisory: I come in as your technical advisor. Same judgment, scoped to what you need. Either way, there's a senior engineer on it from the first call to the final release. RECENT PROJECTS Automotive SaaS: A real-time pricing platform running 79M price combinations a month 24/7. AI Knowledge Platform: A voice-first knowledge platform that works offline at sea. Captures what senior crews know and makes it searchable for the next crew. Live broadcast with AI: A multi-agent engine that writes and narrates stories live, adapting to the audience in real time. TECH STACK AI/ML: LLMs, RAG, vector search, multi-agent orchestration Backend: Python, Node.js, TypeScript Frontend: React, React Native, Unity Cloud: AWS, Docker, Kubernetes Data: SQL, NoSQL, vector DBs BEFORE YOU COMMIT TO ANYTHING Book 30 minutes with me directly. Honest feedback on feasibility, realistic cost, and fit. No pitch. No commitment. NDA first.

𝐃𝐚𝐭𝐚 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐛𝐮𝐢𝐥𝐝 𝐢𝐭𝐬𝐞𝐥𝐟 𝐢𝐧𝐭𝐨 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐝𝐨. 𝐈 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐬𝐡𝐢𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐜𝐮𝐭𝐬 𝐦𝐚𝐧𝐮𝐚𝐥 𝐰𝐨𝐫𝐤, 𝐟𝐫𝐞𝐞𝐬 𝐮𝐩 𝐡𝐨𝐮𝐫𝐬 𝐞𝐯𝐞𝐫𝐲 𝐝𝐚𝐲, 𝐚𝐧𝐝 𝐬𝐨𝐥𝐯𝐞𝐬 𝐭𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐡𝐚𝐬, 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐨𝐧𝐞𝐬 𝐭𝐡𝐚𝐭 𝐥𝐨𝐨𝐤 𝐠𝐨𝐨𝐝 𝐢𝐧 𝐚 𝐝𝐞𝐦𝐨. I'm a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with 6+ years of experience turning AI ideas into production-ready systems from architecture and backend to deployment and real business results. I don't just integrate GPT or Claude into your product. I design the entire intelligent system around your actual business logic, whether that's a chatbot, voice agent, automation workflow, SaaS platform, or mobile app. 🗃️ 𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐈'𝐯𝐞 𝐫𝐞𝐜𝐞𝐧𝐭𝐥𝐲 𝐛𝐮𝐢𝐥𝐭: 🔹AI Movie Analysis - ML-powered content analysis 🔹AI Call Filtering - Smart spam call detection 🔹AI CRM System - Automated booking workflows 🔹Marketing Automation - AI-driven CRM automation 🔹AI Journal App - Intelligent journaling assistant 🔹Listing Automation - AI-powered product listings 🔹Business Automation - AI workflows & integrations 𝐌𝐲 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬:- 💠AI Chatbots & Conversational Agents 💠AI Voice Agents 💠RAG Systems & Knowledge Base AI 💠Multi-Agent Systems 💠AI Workflow Automation 💠AI Mobile App Development 💠LLM Integration & Generative AI Apps 💠AI SaaS & Custom AI Product Development 💠Full Stack Web Apps 💠LLM Fine-Tuning 💠CRM & Business Tool Integration 💠E-commerce AI Automation 💠AI Document Processing 💠AI Data Pipelines & Automation 💠API Integration & Custom Backend 💠Computer Vision & Image AI 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐢𝐫𝐞 𝐦𝐞 𝐨𝐯𝐞𝐫 𝐨𝐭𝐡𝐞𝐫𝐬:- I don't just develop AI tools, I build practical solutions that help businesses save time, improve efficiency, and grow. I take the time to understand business goals and create solutions that deliver real value, not just complete technical tasks. 📩 Send me a message with your project brief. I'll reply within an hour with a concrete plan, not a sales pitch. 🤖 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭:- 🧠 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬:- 💠 Customer Support · Lead Qualification · Sales Automation 💠 GPT-4 · Claude · OpenAI API · Web · WhatsApp · Telegram 🎙️ 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬:- 💠 Inbound & Outbound Calling · Appointment Booking · Receptionist 💠 VAPI · ElevenLabs · Deepgram · Twilio · CRM Integration 🕸️ 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬:- 💠 Autonomous Execution · Complex Task Coordination · Self-Managed 💠 CrewAI · LangGraph · AutoGen · LangChain ⚙️ 𝐀𝐈 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧:- 💠 Task Automation · Manual Work Elimination · 24/7 Pipelines 💠 n8n · Make · Zapier · Custom API Pipelines 🚀 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭:- 💠 Full Product Build · Auth · Payments · Dashboards · 4–8 Weeks 💠 Next.js · FastAPI · React · PostgreSQL · Supabase · Docker 💻 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 𝐀𝐩𝐩𝐬:- 💠 End-to-End Development · REST APIs · Real Traffic Ready · Clean Architecture 💠 Next.js · FastAPI · Node.js · PostgreSQL · Docker 📋 𝐂𝐑𝐌 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐓𝐨𝐨𝐥 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧:- 💠 Lead Scoring · Follow-ups · Pipeline Management · Auto-Sync 💠 HubSpot · Salesforce · GoHighLevel · Zapier · Webhooks 🛒 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧:- 💠 Listing Generation · Product Recommendations · Order Automation 💠 Amazon · Etsy · Shopify · OpenAI · SEO Optimization 📊𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐮𝐬𝐭𝐨𝐦 𝐁𝐚𝐜𝐤𝐞𝐧𝐝:- 💠 Tool Connectivity · Real-Time Data Flows · Scalable Logic 💠 REST APIs · Webhooks · FastAPI · Node.js · Python 🌍 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 & 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬:- 💠SaaS Platforms & Startup MVPs 💠AI Agents & AI Chatbots 💠CRM & Business Management Systems 💠E-Commerce & Marketplace Platforms 💠Healthcare & Telemedicine Applications 💠FinTech & Payment Solutions 💠Real Estate Platforms 💠Education & E-Learning Systems 💠Logistics & Delivery Management Platforms 💠Social & Community Applications 𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐖𝐢𝐭𝐡 𝐌𝐞 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭:- 🕒 Available 24/7 · On-time delivery 🏗️ Production-ready systems clean, documented, and scalable 🔁 Full ownership from architecture to deployment 🛡️ Error handling, logging, and Loom walkthrough on every build 🤝 30-day post-delivery support included ⚡Fast communication, zero surprises 📩 𝐓𝐞𝐥𝐥 𝐦𝐞 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮'𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐈'𝐥𝐥 𝐫𝐞𝐩𝐥𝐲 𝐰𝐢𝐭𝐡𝐢𝐧 𝐚 𝐟𝐞𝐰 𝐡𝐨𝐮𝐫𝐬 𝐰𝐢𝐭𝐡 𝐚 𝐜𝐥𝐞𝐚𝐫 𝐩𝐥𝐚𝐧, 𝐚𝐧 𝐡𝐨𝐧𝐞𝐬𝐭 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭, 𝐚𝐧𝐝 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐚𝐭 𝐢𝐭'𝐥𝐥 𝐭𝐚𝐤𝐞 𝐭𝐨 𝐬𝐡𝐢𝐩 𝐢𝐭 𝐫𝐢𝐠𝐡𝐭.

😱 𝗟𝗲𝘁’𝘀 𝗷𝘂𝗺𝗽 𝗼𝗻 𝗮 𝑭𝑹𝑬𝑬 𝑪𝑨𝑳𝑳 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀! 😱😱😱😱😱😱😱😱 so you can see my approach before deciding. I build production-ready AI and trading automation systems for clients who need more than a simple script. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support. My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server. Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines. My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure. What I can help you build Trading bots and automation tools Kalshi, Polymarket, Webull, crypto, and broker/API integrations Real-time market-data pipelines WebSocket order book, ticker, trade, and price-feed processing Backtesting and strategy research tools Telegram/Discord trading bots and alert systems AI-powered market analysis and signal-generation workflows Dashboards for monitoring trades, PnL, token usage, prices, and system health Dockerized deployment, logging, debugging, and VPS/cloud setup Data storage using PostgreSQL, ClickHouse, and related tools AI/ML experience I also have strong experience in deep learning and applied AI, including: PyTorch, TensorFlow, Keras, scikit-learn LLM and AI-analysis pipelines generative models: Audio/music/speech AI systems Computer vision and object detection Data analysis, feature engineering, and model evaluation Python automation and production ML workflows Trading-system experience I have worked on systems involving: Kalshi prediction-market bots Polymarket data monitoring and dashboards Webull bot interfaces Real-time price feeds I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time. I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows. If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system. # Technical stack Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines. I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems. # Keywords : Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, Discord Bot,