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I help PSPs, acquirers, and high-risk merchants get approved, pass due diligence, and stay compliant. Financial crime and payments risk specialist with 10+ years across global banks including JP Morgan Chase and ING. What I do for clients: • High-risk merchant onboarding & PSP due diligence — sourcing and vetting payment acquirers, KYC/KYB reviews, and closing AML/KYC gaps for UK, EU, and offshore businesses. • AML & sanctions screening — name and transaction screening with Fircosoft FFF/FMF, interpreting SWIFT and SEPA messages, assessing exposure against OFAC, EU, and UN lists. I also run screening testing and optimization — tuning fuzzy-match behavior to cut false positives without losing detection. • Chargeback & representment — full dispute lifecycle through Visa Resolve Online (VROL) and Mastercard Dispute Form (MCDF), building representment packages that maximize recovery. • Fraud detection — real-time risk mitigation using Falcon and Taser. I also built and shipped DueDex, a KYC/KYB due diligence tool — proof I understand these workflows deeply enough to automate them, not just execute them. My background is regulated banking, but I bring that operational precision to fast-moving fintech and payments clients. Message me with what you're working on and I'll tell you straight 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!

With 2+ years of experience working alongside 5 professional ticket brokers, I provide reliable and efficient support across all areas of ticket brokerage operations. Core Responsibilities • Presale and public onsale ticket purchasing (Ticketmaster, AXS, Live Nation, Etix, TicketWeb, Eventbrite, etc.) • Ticket listing, relisting, pricing, and repricing based on market trends using SkyBox and Google Sheets • Inventory management, barcoding, and order fulfillment in Lysted and Automatiq • Ticketmaster and AXS account creation and management • Multi-account signups for season events • Order number (PO) management through TicketAttendant and Google Sheets • Password retrieval, updates, and account maintenance in TicketAttendant • Address research and data management using Google Maps and spreadsheets • Property occupancy verification and data research using NJ Properties • Venue and event listing management through Vivid Seats and Google Sheets Tools & Software SkyBox | Lysted | Automatiq | TicketAttendant | Shows On Sale (SOS) | Jancy Browser | Insomniac Browser | Multilogin | Private Tab | Thunderbird | Intercom | Google Sheets | Microsoft Excel | Slack | Discord | NJ Properties Why Work With Me? ✔ 2+ years of hands-on ticket brokerage experience ✔ Supported 5 professional ticket brokers ✔ Dual-monitor workstation & high-speed internet ✔ Strong English communication skills ✔ Detail-oriented, trustworthy, disciplined, and highly organized I am committed to accuracy, efficiency, and helping ticket brokerage businesses operate smoothly and profitably. I am excited about the opportunity to contribute to your team, bring value to your operations, and build a long-term professional partnership based on reliability, efficiency, and results. Sanjeeb Kumar Sahoo

Senior GenAI Engineer with an MS in Computer Science from the University of Illinois Chicago and three AWS certifications: Developer - Associate, AI Practitioner, and Cloud Practitioner. I build production AI agents, chatbots, voice agents, RAG systems, and workflow automation on AWS: systems that use tools, access business data, maintain state, and complete multi-step workflows reliably. Currently open for new client projects. Why Work With Me - I build the full product around the model, not just the model call: agent orchestration, backend APIs, frontends, databases, authentication, state and memory, deployment, and failure handling. - Model-agnostic by design: Claude, OpenAI GPT, or Amazon Nova (Nova 2 Sonic for real-time voice), whichever clears your quality bar at the lowest cost and latency, on pay-per-use serverless with typical p95 of 0.7 to 2.0 seconds per turn. - Agents that know when to stop: explicit confirmations before consequential actions, and clean human handoff when automation should end. Project Highlights Agent-Builder Platform: Chat + Voice Agents (in-house, 2026) - Led design and development of an AWS-native platform where customers turn complex, form-driven business workflows into AI agents and deploy them to their websites - Chat agents guide users through workflows, clarify questions, maintain conversational and form state, and collect structured data instead of static forms - Low-latency voice agents (Amazon Nova 2 Sonic) complete the same workflows through real-time conversation with the same tools and knowledge - Agent execution layer integrates knowledge bases, MCP tools, document verification, conditional logic, multilingual support, and external APIs - Built end to end (frontend, backend, agent orchestration, state management, serverless AWS) with reusable components so new workflows are configured rather than re-engineered AI Fraud Analyst: natural-language investigations over Redshift - Multi-agent Bedrock assistant (MCP to Redshift) that turns plain-English questions into controlled, schema-aware SQL and returns an evidence-backed brief with a 0-10 fraud-likeness score - Deterministic plan → query → validate → run → summarize loop; handles multi-table joins, including 4-table joins across a ~6-7 table surface - Safety-first execution: read-only access, allowlisted schemas, parameterized queries, preflight checks, and full query/tool-call traceability - Stack: AWS Bedrock, MCP server, Redshift Serverless, IAM, CloudWatch Policy Bot: personalized benefits discovery (hierarchy-aware RAG) - Takes a person's circumstances (a low-income student, a single parent, a widower) and surfaces the federal, state, and local policies that benefit them - Resolves precedence between federal, state, and local rules and weighs policy recency, so newer, higher-authority policies override outdated ones E-commerce AI Automation: gift-card issuance over web and email - Verifies orders in real time via the Amazon Orders API, issues gift cards through the Amazon Incentives API, updates records, and sends branded emails - Extended into a session-aware email agent (SES → S3 → Lambda → Bedrock) preserving context across threads, so teams can work from their inbox - Measured conversation cost of 0.01 to 0.03 USD on Claude Haiku, saving teams 2 to 5 minutes per request - Stack: AWS Bedrock, AgentCore, API Gateway, Lambda (TypeScript), DynamoDB, SES, S3, CloudWatch WhatsApp B2B Ordering Agent - WhatsApp-native ordering assistant handling cart updates, order confirmations, and reliable human handoff - Transactional flow with explicit confirmations before every action to reduce unintended orders - Stack: Fastify, Amazon Bedrock, WhatsApp Business API, Redis, PostgreSQL Security by Default - Platform security from the start: least-privilege IAM, auth boundaries, secrets management, encryption, VPC isolation, audit logging, environment separation, and GDPR- and SOC 2-aware design - Agentic security on top: tool permissions, data-access boundaries, input validation, controlled side effects, idempotency, and traceability. An LLM with real tools and business data has failure modes that ordinary chatbots do not How I Work - A working demo comes first, then we iterate on the real thing - Weekly shippable phases, daily async communication, and transparent reporting of speed, cost, and quality: dashboards, not mysteries Bring me the workflow you want automated end to end. I'll come back with a plan, a latency target, and a cost-per-conversation estimate. Core technologies: Generative AI, Agentic AI, AI Agents, AI Chatbots, Voice AI, Voice Agents, ChatGPT, Claude, Amazon Nova, Nova 2 Sonic, Amazon Bedrock, Bedrock Agents, AgentCore, MCP, RAG, Amazon Q, Amazon Lex, AWS Lambda, API Gateway, DynamoDB, S3, SES, IAM, Cognito, CloudWatch, Redshift, PostgreSQL, Redis, Python, TypeScript, Node.js, React, Next.js, Fastify, REST APIs, LangChain, LangGraph, Terraform, Docker.

I help system integrators and industrial clients deliver PLC/SCADA projects faster—without hiring additional engineers. I do: PLC Programming SCADA Allen Bradley Siemens TIA Portal RSLogix / Studio 5000 HMI Development Industrial Automation Modbus / Profinet / OPC Honeywell Experion FactoryTalk System upgrades & migrations Remote debugging & commissioning support Historian, reporting & industrial data solutions I specialize in supporting system integrators remotely—handling project overflow, urgent debugging, and ongoing automation support, Worked with FMCG, Pharma, and industrial clients on live production systems. If you need reliable PLC/SCADA support, feel free to reach out—I’m available for both short-term tasks and long-term collaboration.

Helping businesses automate conversations, streamline operations, and build production-ready web and mobile applications powered by AI. I am a Full-Stack AI, Web & Mobile Developer with 6+ years of experience building modern web applications, React Native mobile apps, and AI-powered solutions. I specialize in AI Voice Agents, Retrieval-Augmented Generation (RAG), MCP integrations, workflow automation, and scalable full-stack development for web, iOS, and Android platforms. Over the years, I have successfully delivered web and mobile applications with features such as payment gateways, push notifications, OTP authentication, QR code systems, AWS integrations, appointment booking systems, eCommerce platforms, loyalty programs, admin dashboards, and App Store/Play Store deployments. More recently, I have focused on building AI systems that can: • Handle inbound and outbound phone calls using Vapi • Integrate with CRMs, Google Calendar, Jira, and external business tools • Retrieve company knowledge using RAG pipelines • Perform actions through MCP servers and AI agents • Automate customer support and business workflows • Build scalable backend systems using Node.js and Firebase • Develop responsive web applications with modern frontend frameworks ### What I Can Help You With ✅ AI Voice Agents (Vapi, OpenAI) ✅ AI Automation & Workflow Systems ✅ RAG Applications & Knowledge Bases ✅ MCP Client & Server Integrations ✅ Full-Stack Web Development (React, Next.js, Node.js) ✅ React Native Mobile Applications ✅ iOS & Android Deployment ✅ Firebase & Node.js Backend Development ✅ REST & GraphQL API Development ✅ Push Notifications ✅ Payment Gateway Integration ✅ Third-Party API Integrations ✅ CRM & Calendar Integrations ✅ eCommerce Web & Mobile Applications ✅ Admin Dashboards & Business Portals ### Why Clients Work With Me ✔ Production-ready solutions ✔ Clean, scalable architecture ✔ Strong communication ✔ Fast turnaround ✔ Business-focused development ✔ Long-term support Whether you need an AI-powered automation platform, a responsive web application, or a cross-platform mobile app, I can help turn your ideas into reliable, scalable products that deliver real business value. If you're looking for a developer who understands AI systems, web platforms, and mobile products, let's discuss your project.