I help startups and executives ship production AI agent systems, multi-agent orchestration, RAG pipelines, and LLM automation with Claude Code, OpenClaw, Hermes, and n8n orchestration | 40+ projects | 100% Job Success. ✅ Top Rated Plus — Top 1% of AI Specialists & ML Engineers on Upwork ✅ Founder & CEO of TensorFold.ai | Lead AI Engineer at Origin Studios ✅ Published AI researcher (LLM reasoning & structured prompting) ✅ Working alongside senior engineers from NASA, Apple, Harvard & Warner Records WHAT I BUILD 🤖 OPENCLAW & CLAUDE AGENT EXTRACTION (12+ Projects) I build, optimise, and secure elite agentic environments. Most production setups bleed $100+/month because skills bloat tokens, secrets sit in markdown files, and memory drifts across sessions. I fix all three: - FRAMEWORK & MODELS**: Expert deployment of OpenClaw, NanoClaw, NemoClaw, and the Hermes Agent stack. - COST & TOKEN Optimisation: Hardened SKILL.md, compacted context windows, and vaulted credentials via OneCLI to slice monthly API costs by 40–70%. - OMNICHANNEL AGENT Routing: Seamlessly wiring autonomous agents across WhatsApp, Telegram, Discord, Slack, Signal, and iMessage. 📚 RAG & Knowledge Systems — multi-source RAG, hybrid search, knowledge graphs, document pipelines with Weaviate, Pinecone, Qdrant, FAISS, pgvector 🧠 LLM Engineering — GPT-4/5, Claude, Gemini, LLaMA, Mistral; fine-tuning with PEFT (LoRA, QLoRA), LLM evaluation, prompt optimisation, cost/latency tuning ⚙️ AI Automation & Backends — FastAPI production APIs (auth, streaming, logging), n8n and workflow automation, email/CRM/Slack integrations ☁️ Cloud & MLOps — GCP (Vertex AI, Cloud Run, BigQuery), Azure (AI Studio, Functions), Docker, CI/CD RECENT RESULTS 🎵 AI transformation for a major US record label — automated label management, A&R workflows, and executive communications end-to-end, turning a fully manual operation into an AI-first organisation. 🧑‍💼 Agentic AI "chief of staff" systems for two senior entertainment & investment executives — unified calendars, email, deal flow, and reporting into a single AI-powered command center running on autopilot. 🚗 End-to-end ETL + AI insights platform for the US automotive market — processing 6M+ records daily from 18,000 dealerships, taming extreme data noise and anomalies into decision-ready dashboards for dealership owners. 🚀 REVOPS 360 (idea → funded MVP) — built the entire GenAI layer for a B2B RevOps platform: lead-gen agents, campaign creators, pitch generators, and LinkedIn assistants with 20+ modular tools and LLM routing logic. Now entering VC phase. 🏆 Resume Matcher (NLP) — transformer-based candidate shortlisting that cut hiring time by 70%. HOW I WORK 1️⃣ Free scoping call → clear proposal with milestones and acceptance criteria 2️⃣ Sprint-based delivery with demos every cycle — you see progress, not promises 3️⃣ Production handoff: documentation, deployment, and post-launch support I respond within a few business hours (CET, overlap with US mornings), communicate in fluent English, and stick around after launch to improve what we ship. EXPERIENCE SNAPSHOT (5+ years) 🏢 Founder & CEO — TensorFold.ai (AI product & consulting company) 🤖 Lead AI Engineer — Origin Studios (agentic mesh systems & multi-agent orchestration for enterprise and entertainment clients) 🧠 ML Engineer — DFKI (German Research Center for Artificial Intelligence) 📊 Research Assistant — NYU Tandon School of Engineering (large-scale NLP on millions of Amazon products) 🌍 Generative AI Engineer — Eriko AI | ML Engineer — Ezy-AI | Consultant — Systems Limited 🏆 Top Rated Plus on Upwork since 2022 — 40+ projects, 100% client satisfaction 🎓 M.Sc. Computer Science (AI), RPTU Kaiserslautern-Landau, Germany 📄 Published researcher — LLM reasoning & structured prompting (large-scale experiments across multiple frontier models) Let's turn your AI idea into a working, revenue-driving product. 📬 Message me — I'll reply with a concrete plan, not a sales pitch.

Data scientist with remarkable experience in Python, statistics, machine learning, academic research and technical writing. I will happily discuss your project needs, so don't hesitate to invite me! Here are some of my professional accomplishments: • 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹: I have worked in various full-time roles and collaborated with numerous companies worldwide, thus acquiring significant experience and credibility. Feel free to check my previous work and project portfolio below. • 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿: I have participated in EU-funded research projects, with published papers in Nature and other prestigious scientific journals. • 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗔𝘂𝘁𝗵𝗼𝗿: Simplifying Machine Learning with PyCaret became a bestseller and got cited in academic research. I am now working on a second book about time series forecasting. • 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗪𝗿𝗶𝘁𝗲𝗿: I have published numerous articles on topics like outlier detection, hypothesis testing, time series forecasting, large language models, and many others.

I help startups and businesses build 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏𝐬 and 𝐀𝐈 𝐌𝐕𝐏𝐬 that turn ideas into scalable, production-ready products. With 6+ years of backend development experience and 13+ successful projects delivered on Upwork, I specialize in developing AI-powered SaaS applications using Python, FastAPI, OpenAI, LangChain, vector databases, and modern cloud infrastructure. Whether you're validating a new startup, launching the first version of your SaaS product, or integrating AI into an existing platform, I build reliable applications that are designed for rapid iteration, long-term scalability, and real business impact. 𝐈 𝐝𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 : I help founders ship faster, validate product ideas, and create technical foundations that support future growth. ### What I can help you build: ✔ 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 End-to-end SaaS MVP development for startups, including authentication, multi-tenancy, dashboards, admin panels, user management, subscription billing, payment integrations, REST APIs, cloud deployment, and scalable backend architecture. ✔ 𝐀𝐈 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Rapid development of AI MVPs using OpenAI, Claude, Gemini, and modern LLM frameworks. Whether you're building an AI startup or adding intelligent features to your product, I can help you launch quickly without compromising scalability. ✔ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 Autonomous AI agents, multi-agent systems, tool-calling workflows, AI automation pipelines, reasoning agents, API-connected agents, human-in-the-loop systems, and business process automation. ✔ 𝐑𝐀𝐆 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐈 Retrieval-Augmented Generation (RAG) systems, document intelligence platforms, PDF chat applications, semantic search, embeddings, vector databases, internal knowledge assistants, enterprise search, and AI-powered knowledge management systems. ✔ 𝐎𝐩𝐞𝐧𝐀𝐈 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Custom GPT applications, AI copilots, conversational AI systems, OpenAI API integrations, Claude and Gemini integrations, prompt engineering, structured outputs, Responses API, Agents SDK, and production-grade LLM workflows. ✔ 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Scalable backend systems using Python, FastAPI, Django, PostgreSQL, Redis, Celery, REST APIs, WebSockets, Docker, AWS, Azure, and Supabase for AI SaaS products and startup MVPs. ✔ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 AI-powered workflow automation for customer support, lead qualification, CRM automation, document processing, reporting, internal productivity tools, and operational workflows. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 & 𝐀𝐈 𝐌𝐕𝐏 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 • AI-powered Commerce Intelligence SaaS Platform for ecommerce brands • AI-Powered Property Management Platform • AI Tax Assistant with document-aware responses • AI-powered Learning Management System (LMS) • Multi-Agent Decision Support Platform using LLM orchestration 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 OpenAI GPT • Claude • Gemini • LangChain • LlamaIndex • FastAPI • Django • Python • Pinecone • Weaviate • Qdrant • PostgreSQL • Redis • Docker • AWS • Azure • Supabase 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞 ✔ Startup-focused MVP development approach ✔ Production-ready backend architecture ✔ Strong AI and LLM engineering expertise ✔ Clean, scalable, and maintainable code ✔ Fast communication and reliable delivery ✔ Long-term technical partnership beyond MVP launch ⭐ 𝐂𝐥𝐢𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 *"Great work and pleasant collaboration! I highly recommend Jahanzeb."* If you're looking for a developer to build your SaaS MVP, AI MVP, AI agent platform, RAG application, or production-ready AI SaaS product, let's discuss how we can turn your idea into a scalable solution that delivers value from day one.

Hello! 👋 I’m a CTO, Senior .NET Core Developer, and AI Engineer with 20+ years of experience in C#, Microsoft Azure, cloud architecture, enterprise software, and Artificial Intelligence solutions. I help companies build scalable SaaS platforms, enterprise systems, internal tools, AI assistants, AI copilots, and production-ready AI products. As an AI Developer, I combine backend engineering with AI Development, Automation, API integration, and .NET Core architecture to create reliable Operational systems that solve real business problems. 📘 About Me I’m a technical leader with deep experience in software architecture, C# development, and .NET Core systems. Over the years, I’ve designed cloud-native platforms, distributed applications, Web API services, microservices, and enterprise backend systems for complex environments. My current focus is on Artificial Intelligence, AI Development, AI Agent Development, and practical Automation for business workflows. As an AI Developer, I build systems that connect LLMs, RAG, Azure AI Services, APIs, and business logic into stable products. The goal is not just to add AI features, but to create Operational value: fewer manual tasks, better decisions, faster delivery, and cleaner internal processes. As an AI Developer, I work across the full product lifecycle: discovery, architecture, backend logic, API integration, cloud setup, testing, deployment, and long-term support. I use .NET Core, Microsoft Azure, Orleans, RESTful architecture, and CI/CD to make sure every solution is secure, maintainable, and ready for real users. A strong part of my work is AI Development for SaaS products and enterprise platforms. I design Artificial Intelligence features, AI agents, AI assistants, copilots, workflow Automation, and API-connected systems that support real Operational needs. My background in .NET Core and distributed architecture helps me build high-concurrency applications that stay stable as usage grows. I also help teams modernize existing systems. As an AI Developer, I can review architecture, improve backend performance, connect AI services, build custom Automation, and turn fragmented workflows into one clear Operational process. 🛠️ Technical Skills C# & .NET Core Microsoft Azure & Cloud Architecture Orleans Distributed Virtual Actor Framework RESTful Architecture & Web API SaaS Development & Microservices Software Architecture & Design Patterns Artificial Intelligence solution design Artificial Intelligence architecture AI Development lifecycle .NET Core architecture AI Development for enterprise systems AI Developer implementation AI Agent Development & AI assistants Retrieval Augmented Generation LLM Prompt Design Azure AI Services API Design and Integration Automation workflows Operational system architecture MAUI & Blazor Angular DevOps, Kubernetes & CI/CD Aspire 🌿 Strategic Skills Enterprise Software Architecture Planning Artificial Intelligence strategy AI Development roadmap AI Developer technical leadership Automation planning Operational workflow optimization Cloud Migration & Optimization Performance Optimization Security & GDPR Compliance Cost Optimization Agile & Scrum Team Leadership Stakeholder Communication Technical Discovery & Roadmapping TOGAF Methodology Problem Solving 🏆 Certifications Microsoft Certified: Azure AI Associate Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure DevOps Expert Microsoft Certified: Azure AI Fundamentals Xamarin Certified Mobile Developer Agentic AI developer, C# ai, ai integration, ai api integration,ai integration specialist, ai agent saas, ai saas developer, ai architect, ai solution architect, ai chat bot, ai chatbot saas, open ai chatbot, full stack developer, multi-agent, ai agent automation, ai automation agency, chatbot automation,, c# developer, c# .net, .net ai, .net developer, .net fullstack, ai agent builder, ai agent n8n, ai agent crypto, ai agent automation, rag, agentic rag, agentic rag, ai engineer rag, agentic rag, full stack app developer, full stack developer ai, artificial intelligence, artificial intelligence consultant, ai llm, llm agent, ai llm developer, llm chatbot, langchain agent, ai developer langchain, llm langchain, ai agent, ai voice agent, customer service agent, web developer, azure ai, azure ai studio, azure devops, azure architect, ai engineer, prompt engineer, product engineer, ai workflow, ai workflow automation, workflow automation, orchestration, ai prompt engineer, claude prompt, ai prompt engineering, ai prompt,prompt engineer claude, open ai developer, open ai chatbot, ai models, ai integration, ai integration specialist, ai integrator, ai api integrator, ai powered, claude certified.

I've built AI systems that deflect 60% of support queries, search across 10,000+ documents in under 2 seconds, and save operations teams 20+ hours every week. The gap between those outcomes and a typical chatbot demo is architecture. Most teams reach out after a prototype has already failed in production, usually because of poor chunking logic, absent memory management, weak retrieval quality, or no fallback handling. I rebuild those systems correctly: clean ingestion pipelines, hybrid retrieval, structured agent memory, proper observability, and deployment that holds under real load. What I build: — RAG systems for internal documents, knowledge bases, and enterprise search — AI agents with tool use, memory, and multi-step reasoning (LangChain, LlamaIndex, LangGraph) — Automation workflows that replace manual operations (n8n + LLM + your existing APIs) — Production chatbots for web, WhatsApp, and Slack with escalation and analytics — Voice AI pipelines (STT + TTS) for customer-facing applications — Fine-tuned models for domain-specific classification and generation tasks Stack: Python · LangChain · LlamaIndex · LangGraph · OpenAI · Claude API · Pinecone · Weaviate · FastAPI · n8n · AWS · Docker If you're ready to move from prototype to production or want it built right from the start, I can map out your system architecture in a 20-minute scoping call. No prep needed on your end.

Your go-to fullstack AI engineer and workflow automation expert, I build AI systems that quietly run in production. Specializes in building AI systems that are: → Helps real Business Operations → Scalable → Enterprise-grade → Multi-tenant → Secure → Built for ROI AI Agents, n8n workflows, LLM multi-agent architecture, RAG pipelines, and the fullstack apps that wrap around them. RECENT WORK: → Multilingual cancellation management system for a German B2B client, Azure OpenAI + n8n classifying vendor replies in German and English, auto-generating bilingual responses. Replaced a manual triage queue. → Mobile Application for a Saudi Arabia Client to manage workforce & work with AI integrations. → End-to-end content automation pipeline, content brief to published post, GCP OAuth, multi-stage n8n workflow. → Outbound sales engine using Apollo + Saleshandy + n8n + Claude API, enrichment, personalization, and reply handling at scale. → Multi-agent HR ops system with Web Application, specialized AI agents handling recruitment, onboarding, and policy workflows across Slack and Teams. → RAG pipelines for B2B catalogs and knowledge bases (HVAC technical specs, internal docs, support corpora) using Pinecone, pgvector, LlamaIndex, and LangChain. → Fullstack SaaS builds, multi-tenant platforms with React/Next.js frontends, FastAPI/Django backends, and AI features baked into the core product flow. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHERE I'M STRONGEST 1. Workflow Automation Production n8n architecture, the messy real-world kind with retries, error handling, rate limits, and observability. Not happy-path demos. Multi-system orchestration across CRMs, email, Slack, databases, and internal APIs. 2. AI Agents & LLM Systems RAG pipelines that retrieve the right thing the first time. Multi-agent orchestration with Anthropic, OpenAI, and open models. Tool use, function calling, evaluation, and production guardrails. Vector databases, embedding strategy, and retrieval tuning. 3. Fullstack Development React and Next.js on the frontend. Python (FastAPI, Django, Flask) and Node.js on the backend. PostgreSQL, MongoDB, vector DBs. REST and GraphQL APIs. End-to-end app delivery, not just the AI layer, but the dashboards, admin panels, auth, billing, and UI your users actually touch. 4. Infrastructure & Deployment Docker, CI/CD pipelines, AWS and Azure. Production monitoring, logging, and the boring reliability work that separates a demo from a system you can bill clients on.

Most AI automation projects fail when they need to work inside real business workflows. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. What I build: AI automation systems for business workflows AI agents for support, operations, and internal tools RAG-based knowledge systems connected to docs, PDFs, or databases Chatbots that can take real actions, not just answer questions Backend systems for LLM-powered applications, including APIs and integrations When clients usually reach out: When repetitive manual processes are slowing things down When internal knowledge is scattered or hard to access When support or operations need automation When they want to add real AI functionality into an existing product When previous AI solutions did not work in real-world usage How I approach projects: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. Tech stack: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS Recent work AI agents built for workflow automation RAG systems connected to company knowledge bases NLP-based clustering and data processing systems Fixing and deploying dialogue systems Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. Keywords AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development

As a Top Rated Plus AI & Machine Learning Engineer (Top 3% on Upwork) with over 6 years of experience and a 100% Job Success Score, I deliver end-to-end enterprise AI implementations. My expertise spans heavy-compute machine learning, embedded IoT ecosystems, real-time voice intelligence, and autonomous agentic workflows. Having built intelligent applications, vision systems, and predictive pipelines for over 50 global clients across Fintech, Healthcare, Robotics, IoT, and SaaS, I prioritize structural risk mitigation, deterministic behavior, and clear data lineage to guarantee real corporate ROI. My practice focuses on engineering production-grade Retrieval-Augmented Generation (RAG) architectures and autonomous multi-agent networks governed by deterministic software frameworks. To ensure high factual precision and secure role-based access control, I replace naive chunking with advanced relational data indexing, multi-stage re-ranking, and custom self-RAG verification loops that systematically eliminate model hallucinations and minimize token overhead. When building multi-agent ecosystems to execute complex, multi-step business logic, I implement clean state transitions, persistent cross-session memory management, and secure tool invocation. This architectural discipline ensures that autonomous units handle real-world operational friction gracefully and self-correct without entering infinite execution loops. This commitment to low-latency orchestration and structural reliability extends directly to my real-time conversational Voice AI deployments. I build human-grade voice agents for inbound qualification and outbound telephony centered on conversational fluidity. By optimizing the complete text and speech streaming pipelines, I achieve response times under 600ms while establishing strict barge-in rules and turn-taking logic that accommodates natural human pauses. I anchor these Generative AI systems with deep foundational roots in traditional statistical machine learning, deep learning, and physical edge compute. Whether training custom neural networks or engineering real-time computer vision architectures for digital and edge devices - including past infrastructure deployments for rapid-growth tech startups - my code enforces mathematical and computational efficiency. I ensure hardware streams, embedded sensors, and unstructured data lakes feed cleanly into automated ETL pipelines, yielding actionable analytics and enterprise business intelligence dashboards. ============================================================================= TECH STACK & KEYWORD MATRIX: [ Agentic & RAG Orchestration ]: LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, Custom FSM Runtimes, Multi-Agent Architecture, Self-Correction Loops, Model Context Protocol (MCP) [ Enterprise Voice AI & Telephony ]: Vapi, Retell AI, ElevenLabs, Cartesia, Deepgram, AssemblyAI, Twilio API, SIP Trunks, WebRTC Audio Streaming, Turn-Taking Logic, Conversational Voice Agents [ LLMs, SLMs & NLP Ecosystem ]: GPT-4o, Claude 3.5 Sonnet, LLaMA 3, DeepSeek, Mistral, OpenAI API, Hugging Face, Natural Language Processing (NLP), Advanced Prompt Engineering, Model Routing Layers, Small Language Models (SLMs) [ Machine Learning & Computer Vision ]: TensorFlow, Keras, PyTorch, Scikit-Learn, OpenCV, Deep Learning, Image Processing, Spatial Intelligence, Object Detection, Semantic Segmentation, Data Science [ Edge Computing & Hardware Integration ]: Embedded Systems, Robotics, Embedded IoT, Real-Time Sensing, Physical Computing Architecture [ Cloud Infrastructure, MLOps & Data Engineering ]: AWS (Lambda, SageMaker, EC2, S3), Serverless Architectures, Microservices, N8N, Make, Automated API Integrations, SQL, Vector Databases (Qdrant, Pinecone, Milvus, pgvector), Neo4j Graph Databases, Advanced Data Analytics, BI Dashboards, Business Intelligence ============================================================================= FULL-STACK INTEGRATION & APPLICATION LAYER: I provide end-to-end full-stack integration to ensure intelligence is delivered seamlessly. I build robust Python and Node backends, design secure RESTful or GraphQL APIs, manage stateful data synchronization, and construct clean, responsive user interfaces. I handle the entire software lifecycle so your AI systems run flawlessly within your existing application ecosystem. PROJECT LIFECYCLE ROLES I'M AVAILABLE FOR: - Principal AI Agent Architect & GenAI Consultant - Senior Machine Learning & Computer Vision Specialist - Full-Stack AI Engineer & Workflow Automation Expert - Embedded IoT / Robotics ML Integration Lead Daily Availability: 8-12 Hours/Day (Depending on project scope and enterprise requirements) If you have an active project requiring battle-tested machine learning, robust multi-agent automation, and a reliable technical execution partner, let's connect and discuss how to turn your concepts into a production-ready reality.

I build AI solutions for Computer Vision and NLP. My experience covers object detection (YOLO), image segmentation, classification, and text-based applications such as RAG pipelines and large language model fine-tuning. I focus on building models that are both accurate and efficient, with practical experience in preprocessing, model training, evaluation (precision/recall, mAP, F1), and deployment using Python, PyTorch, TensorFlow, Hugging Face, and OpenCV. Whether you need to process images, analyze text, or integrate AI into your workflow, I can help you deliver a reliable solution tailored to your data.

Top Rated Plus • 100% Job Success • $400K+ Earned on Upwork CTO & Co-founder @ Codiste (50+ AI engineers) • Harvard '24 I build mission-critical AI Agents, Voice AI systems, and MCP Servers for FinTech, PropTech, RegTech, and MarTech clients - from funded startups to Fortune 500. When off-the-shelf AI tools hit their ceiling, my team engineers production systems that scale to millions of users, sub-500ms latency, and enterprise-grade compliance. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT I SPECIALIZE IN ━━━━━━━━━━━━━━━━━━━━━━━━ ▸ AI AGENT DEVELOPMENT Multi-agent orchestration with LangGraph, CrewAI, AutoGen, and custom frameworks. Agentic RAG with Pinecone, Weaviate, pgvector, and Qdrant. Tool-calling agents, production MLOps pipelines, and real-time inference infrastructure. ▸ VOICE AI (TTS/STT at Production Scale) Enterprise voice agents processing millions of daily calls. Deep experience with Retell AI, Vapi, Synthflow, Bland, LiveKit, and Twilio. Custom STT/TTS pipelines using ElevenLabs, Deepgram, Whisper, and Cartesia. Proven 60–80% call-center cost savings with 24/7 availability. Flagship: Dialora - 24/7 AI voice agent platform. ▸ MCP SERVER DEVELOPMENT (Early specialist - rare talent in this space) Custom MCP servers exposing internal APIs, databases, and workflows as agent tools. MCP gateways unifying 50+ enterprise systems for Claude, GPT, and Gemini agents. Streamable HTTP + stdio transports, OAuth pass-through, JSON Schema contracts, and compliance-safe agent governance. ▸ FINTECH AI Payment automation, KYC/AML agents, fraud detection, and real-time algorithmic trading with sub-100ms inference. Ledger engineering and PCI-DSS aware architecture. Flagship: Neuro Digital Bank. ▸ PROPTECH AI Real-estate lead qualification agents, virtual tour AI, property valuation models, listing intelligence, and tenant communication agents. ▸ REGTECH AI Blockchain-verified AI inference networks for auditability. Compliance copilots, regulatory reporting agents, and AI governance platforms. ▸ MARTECH & ADTECH AI Autonomous campaign-management agents and multi-modal content repurposing (video → clips → posts). Flagship: Assembler - 100TB+ processed monthly. ━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS WORK WITH ME ━━━━━━━━━━━━━━━━━━━━━━━━ → CTO & Co-founder at Codiste — 50+ AI engineer team, 6+ years shipping production AI → 10,641+ billable hours on Upwork, 100% Job Success across 49 completed jobs → Harvard (2023–2024) + BTech Computer Science → Member of the Metaverse Standards Forum → Track record with startups, enterprises, and government agencies ━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK ━━━━━━━━━━━━━━━━━━━━━━━━ 1. Discovery call - we align on outcomes, not output 2. Architecture doc and technical spec before a single line of code 3. Weekly demos, async updates, full code ownership for you 4. Production deployment + monitoring + handover ━━━━━━━━━━━━━━━━━━━━━━━━ TYPICAL ENGAGEMENTS ━━━━━━━━━━━━━━━━━━━━━━━━ → MVP to production in 30–60 days (fixed-price or hourly) → Fractional CTO / AI architect retainers → Technical due diligence for AI investments and acquisitions → Multi-month enterprise builds with a dedicated team ━━━━━━━━━━━━━━━━━━━━━━━━ Message me with your problem (not just a tech stack), and I'll reply within 4–8 hours with honest feedback on whether I can help - and whom to talk to if I can't. Would love to contribute to an idea that resonates with my skill set.