Hire the Best AI Memory Engineers

Most AI failures aren't model failures. They're architecture failures brittle pipelines, no evaluation loops, systems that can't handle real data at real scale. I'm an AI Engineer who helps startups and companies turn AI from a concept into production-ready systems reliable, scalable and cost-efficient. If your AI hallucinates, drifts over time, or only works on clean data, that's the problem I solve. ──────────────────────────────────── 🌟 WHAT I CAN BUILD FOR YOU ──────────────────────────────────── ✅ Agentic RAG & Corrective RAG Systems – Multi-step reasoning, source verification, hallucination correction – Hybrid retrieval (vector + keyword + structured data) – Automated evaluation loops with >90% accuracy targeting – Works on PDFs, PPTX, XLSX, Docs, databases, and live APIs ✅ Multi-Agent Systems & AI Automation – Coordinated agent teams (LangGraph, LangChain, AutoGen) – Autonomous workflows for research, ops, reporting, decision support – Integrations: Slack, Telegram, WhatsApp, Email, Calendar, CRMs ✅ Continuous Learning Pipelines – Real-time data ingestion (APIs, scrapers, databases, files) – Incremental embeddings, live indexing, drift detection – Human-in-the-loop feedback and automated retraining ✅ AI-Powered Backends & APIs – FastAPI microservices and production-grade Python services – AI features embedded directly into your existing product – ETL pipelines, n8n workflows, scalable cloud deployment ✅ AI Architecture Consulting – Architecture reviews for teams building with LLMs – Cost optimization: open-source vs. proprietary tradeoffs – Production best practices, monitoring, and reliability layers ──────────────────────────────────── ✅ RECENT WORK ──────────────────────────────────── ▸ Unstructured Data Intelligence Engine Built an Agentic + CRAG RAG system that ingests messy PDFs, PPTX, XLSX, and Docs and transforms them into a structured, queryable knowledge base with automated accuracy validation. ▸ Real-Time Market Intelligence Platform Full automation pipeline — scrapers → preprocessing → embeddings → live index → multi-agent decision layer for continuous market monitoring with zero manual updates. ──────────────────────────────────── 🌟 WHY CLIENTS CHOOSE ME ──────────────────────────────────── ✔ 5-star track record : every project delivered to the client's exact requirements, on time ✔ Real business value, not AI demos : every system is designed to be useful, maintainable, and scalable ✔ LLMs in production, not experiments : I specialize in AI that works in real environments under real load ✔ Full documentation on everything : every project includes clear documentation and step-by-step guides so your team can understand, maintain, and extend what was built ✔ Honest tradeoffs : I'll tell you when open-source beats GPT-4o/Gemini and when it doesn't ✔ Clear communication : you'll always know what's happening, what's next, and why ✔ Complete handoff : not just code, but everything your team needs to own it confidently ──────────────────────────────────── 🛠 TECH STACK ──────────────────────────────────── Frameworks: LangGraph, LangChain, LlamaIndex, AutoGen, Google ADK LLMs: GPT-4o, Gemini 1.5 Pro, Claude , Llama3, Qwen3, Mistral, Gemma Vector DBs: Qdrant, Weaviate, Pinecone, ChromaDB, FAISS, Elasticsearch Infra: FastAPI, Docker, n8n, Google Cloud , Ollama , HuggingFace My goal is simple: to deliver AI that makes you say "this actually works in production." If you're building something serious, not a proof of concept, but a system that needs to work reliably at scale send me a message with what you're working on. I'll tell you you honestly whether I can help.

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!

4+ 𝗬𝗲𝗮𝗿𝘀 𝗔𝗜, 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 & 𝗔𝗜 𝗜𝗡𝗧𝗘𝗚𝗥𝗔𝗧𝗜𝗢𝗡 🌟 Trusted by startups, founders & SaaS teams Specialized in AI Agents, ChatGPT Solutions, AI MVPs, AI Integration & Production-Ready Generative AI Systems 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮𝗻 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁, 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝘀𝘆𝘀𝘁𝗲𝗺, 𝗼𝗿 𝗠𝗩𝗣? I help teams design, build, and deploy AI-powered systems, AI Integration pipelines, and intelligent automation workflows from AI agents and AI chatbots to Agentic RAG applications, Voice AI systems, and full AI MVPs, with a strong focus on scalability, reliability, and real business impact. Whether you're validating a startup idea, launching a SaaS MVP, integrating ChatGPT into your product, or scaling an existing AI system, I deliver production-ready AI Integration solutions, not just demos. 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 (𝗥𝗲𝗮𝗹 𝗔𝗜 𝗨𝘀𝗲-𝗖𝗮𝘀𝗲𝘀) AI Agents for sales, customer support, operations & internal automation ChatGPT-powered AI Chatbots with memory, tool-calling, reasoning & context engineering Agentic RAG systems for documents, knowledge bases & enterprise data AI MVP Development (Idea → Prototype → Production → Scale) AI Automation workflows that read data, reason, decide & take actions Multi-Agent Systems (MAS) for research, analytics & workflow automation Voice AI Agents, AI Calling Systems & Conversational AI (IVR, real-time interaction) AI Integration with SaaS platforms, CRMs & internal business systems 𝗔𝗜 & 𝗔𝗚𝗘𝗡𝗧 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 Single-Agent & Multi-Agent Systems (tool calling, memory, delegation, orchestration) OpenAI (GPT-4, GPT-4o), ChatGPT, Claude, Gemini, DeepSeek Prompt Engineering, Structured Outputs, Function Calling, Prompt Optimization & Regression Testing Vector Databases, Embeddings, Semantic Search, Hybrid Retrieval (RAG) Document Q&A (PDFs, Notion, Google Drive, Websites, Internal Data) AI Chatbot Development (Web, WhatsApp, Telegram, CRM-integrated bots) Fast Prototyping → Validation → Scalable AI Architecture Founder-Friendly Builds with Clean Documentation & Handover Frameworks: LangChain, LangGraph, CrewAI, AutoGen, DSPy, LlamaIndex 𝗕𝗨𝗦𝗜𝗡𝗘𝗦𝗦-𝗙𝗜𝗥𝗦𝗧 𝗔𝗜 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛 Clear logic & explainable AI (no black-box systems) Error handling, retries, logging, tracing & monitoring Scalable automation workflows (not fragile zaps) Privacy-aware, secure & permission-based setups Built for MVP → Scale → Production growth AI Governance: Bias Detection, Hallucination Mitigation, AI Auditing & Safety 𝗔𝗜 + 𝗦𝗬𝗦𝗧𝗘𝗠 𝗜𝗡𝗧𝗘𝗚𝗥𝗔𝗧𝗜𝗢𝗡𝗦 REST APIs & Webhooks SaaS Integrations (Google Sheets, Airtable, Notion) CRM & Internal Tool Automation Databases, File Systems & External Data Sources Automation Platforms (n8n, Make, Zapier) AI Agent Frameworks (Flowise, CrewAI, LangFlow, AutoGen) End-to-End AI Integration into business workflows & SaaS products 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 OpenAI • ChatGPT • GPT-4o • Claude • Gemini • DeepSeek RAG • Agentic RAG • LLMs • Generative AI • AI Agents • Multi-Agent Systems Vector Search • Embeddings • Document AI • AI Chatbots • Voice AI • AI Calling n8n • Flowise • CrewAI • Make • Zapier • LangFlow • StackAI APIs • Webhooks • Workflow Automation • SaaS Integrations • AI Integration 𝗟𝗘𝗧’𝗦 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗘 & 𝗦𝗖𝗔𝗟𝗘 𝗬𝗢𝗨𝗥 𝗕𝗨𝗦𝗜𝗡𝗘𝗦𝗦 𝗪𝗜𝗧𝗛 𝗔𝗜 Availability: Full-time (40–50 hrs/week) Ideal for: Startups, SaaS founders, agencies & product teams Focus: AI Integration, AI Agents, ChatGPT Systems, Voice AI, Agentic RAG & Intelligent Automation

𝐀𝐈 𝐢𝐬 𝐨𝐧𝐥𝐲 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐫𝐮𝐧𝐬 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 — 𝐧𝐨𝐭 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐬𝐢𝐭𝐬 𝐢𝐧 𝐚 𝐝𝐞𝐦𝐨. I design and build 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 ai systems that combine 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, and 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 into one cohesive, production-ready ecosystem. 𝐅𝐫𝐨𝐦 𝐝𝐚𝐭𝐚 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 → 𝐌𝐋 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 → 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 → 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 → 𝐮𝐬𝐞𝐫-𝐟𝐚𝐜𝐢𝐧𝐠 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐈 𝐡𝐚𝐧𝐝𝐥𝐞 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 — 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐬 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐮𝐬𝐚𝐠𝐞. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 (𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝) 🤖 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 I specialize in "Agentic" workflows where AI can use tools, remember context, and collaborate: Frameworks: LangGraph, CrewAI, and LangChain. Capabilities: Tool-calling, persistent memory, and multi-agent systems. Agentic Workflows: n8n-based logic for complex decision routing. Use Cases: Automated Lead Qualification, AI Support Resolution, and Operations Routing. 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 I build custom ML pipelines that turn raw data into foresight: Forecasting: Predictive analytics for sales and market trends. Security: Anomaly and fraud detection systems. End-to-End MLOps: Data collection, feature engineering, model training, and monitoring. ⚙️ 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I replace manual overhead with event-driven ecosystems: Platforms: Expertise in n8n, Make, and Zapier. Custom Logic: Deep Python-based automations for complex logic. Impact: Real-time reporting, automated sales pipelines, and AI-triggered operations. 🌐 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I provide a single point of accountability for your entire application: Backend: Production-grade FastAPI and Node JS APIs with RAG integration. Frontend: React dashboards and AI Copilot interfaces. Knowledge Bases: Vector databases like Pinecone and Weaviate for enterprise RAG. 🛠️ 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 AI & Agents: LangGraph, CrewAI, LangChain, OpenAI, Claude, Gemini. ML Systems: Python, PyTorch, Scikit-learn, Hugging Face. Automation: n8n, Make, Zapier, Custom Python Scripting. Full-Stack: React, FastAPI, Node JS, PostgreSQL, Vector Databases. Infrastructure: AWS, GCP, Docker (Microservices-ready). 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 Systems Thinking: I design interconnected AI ecosystems, not isolated features. Production-First: No fragile prototypes. Every system is built to be secure and scalable. Direct ROI: I focus on automation that pays for itself by reducing overhead and error. 𝐋𝐞𝐭’𝐬 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐢𝐧𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈.

I'm an AI Engineer & Strategist (PhD in CS) who solves the #1 problem businesses face: 'We’ve spent 6 months building AI, but I still can't tell if it actually works.' Most businesses I work with are stuck with: • Features that look good but fail in production because they lack proprietary, robust logic. • Talented engineering teams who lack the specialized AI capabilities required to build auditable, verifiable systems. • Architecture that works for 10 users but will trigger massive security or cost liabilities when signing your first enterprise client. With 15+ years of experience and having architected 20+ high-stakes AI pipelines, I bridge the gap between complex AI research and agile, production-grade software engineering. I provide the senior technical expertise you need to eliminate repetitive workflows using production-grade, safe, and auditable AI automation and ensure your technology is an asset for your business or your next funding round. Recent work: • For a RegTech SaaS: Built a hybrid RAG pipeline with durable workflow orchestration (Temporal). Result: AI responses with 100% citation provenance for regulated document analysis. • For a wellness startup: Architected a 4-agent LLM coaching system with dynamic 6-layer prompt assembly and emotional intensity mapping. • For a cross-chain DEX: Engineered the backend for trustless atomic swaps between Bitcoin/Lightning and EVM/Starknet ecosystems. • Enterprise identity: Led the research and delivery of the KILT Protocol mainnet, including a Deloitte-partnered KYC integration. My pipelines consistently deliver: ✅ 40–80% reduction in manual work ✅ 99%+ accuracy, even in regulated environments ✅ Hours reclaimed per employee, per week ✅ Measurable ROI within 30–90 days How I help your business: ✅ AI strategy & advanced RAG: I provide the elite technical oversight your team needs to eliminate repetitive manual workflows, build safe AI systems, and ensure your technology is a major asset for your next funding round. ✅ Security and compliance: Deep expertise in building verifiable pipelines, secure cloud data flows, and SOC2-ready architectures. ✅ Engineering leadership: I work directly with your developers, streamline your sprint cycles, and implement CI/CD pipelines that ensure your team ships weekly, not monthly. ✅ Technical due diligence: I ensure your codebase and IP are fully optimized for institutional scrutiny during M&A or venture capital funding rounds. Technical expertise: • AI / LLMOps: Python, Pydantic AI, LangGraph, LangChain, PyTorch, Vector Databases, Graph-RAG, Semantic Search, Prompt Engineering, Model Evaluation, Fine-Tuning, Embeddings. • Backend & cloud infrastructure: TypeScript, SQL, Docker, Kubernetes, Terraform, AWS, Azure, GCP, Distributed Systems, CI/CD. • Automation & enterprise tech: n8n, Document Intelligence (Docling), LegalTech/FinTech compliance automation, Decentralized Identity (DID). I can quickly adapt to your stack and I am always happy to learn new tools. How we can work together: ✅ Technical audit and roadmap: We start with a deep dive into your current stack. I identify friction points in accuracy or scale and provide a written assessment with specific, technical recommendations. ✅ Fractional leadership: I join your Slack/Teams, manage the development cycle, and take ownership of the hard technical decisions so you can focus on growth. ✅ Specific sprints: Need a specific RAG pipeline or smart contract protocol built? I offer fixed-scope engagements for high-priority feature launches. Want to get started? Click the "Invite to Job" button. Tell me about your current stack and what would make our first call a success for you.

Most AI projects fail not because of bad models — but because of bad architecture and no product thinking. That's the gap I fill. I'm a Senior AI Engineer with 5+ years designing and shipping intelligent systems across Healthcare, FinTech, E-commerce, and SaaS — end-to-end, from whiteboard to AWS production. What sets me apart: I think like a product engineer, not just a developer. I ask why before I ask how. That means fewer pivots, less wasted build time, and systems that actually solve the right problem. What I've delivered: - RAG pipelines that cut document retrieval time by 60%+ for data-heavy clients - Multi-agent systems that automated complex workflows end-to-end - Fine-tuned LLMs tailored to medical records, financial reports, and product catalogs - Semantic search engines replacing keyword search across large-scale SaaS platforms - Scalable AI APIs handling thousands of daily requests with less than 200ms response time - Full MLOps pipelines on AWS — from model training to monitoring in production What I build with: - Languages: Python, Node.js - LLM Frameworks: LangChain, LlamaIndex, OpenAI, Claude, HuggingFace, Ollama - Vector DBs: Pinecone, Weaviate, ChromaDB, pgvector - Databases: PostgreSQL, MongoDB, Redis - Cloud & MLOps: AWS (SageMaker, Bedrock, Lambda, S3, EC2), Docker, FastAPI - Agent Frameworks: AutoGen, CrewAI, LangGraph - Search: Elasticsearch, FAISS How I work: I'm autonomous, proactive, and I communicate clearly — you'll always know where things stand. No hand-holding needed, no surprises at the deadline. If you want an AI engineer who owns both the technical depth and the product vision — let's talk.