Hire the Best CastNET Specialists

Data & AI Solutions Engineer | Lead Generation & Web Data I build data pipelines and AI-powered tools that turn messy public web data into clean, decision-ready assets — and when it makes sense, into RAG-powered agents that answer questions from that data. What I solve: • Lead Generation at Scale — prospect databases with verified contacts (names, emails, phones, LinkedIn), enriched and deduplicated, ready for your sales team. • Market & Competitive Intelligence — pricing monitoring, product catalogs, review mining, market research. • Document Intelligence — parsing complex PDFs (tables, formulas, mixed-language) into structured Excel/CSV, and into chunked, embeddable formats for RAG. • AI Agents & RAG Pipelines — knowledge-base Q&A agents (WhatsApp, web, internal tools) on vector databases; document ingestion → chunking → embeddings → retrieval → LLM answer, with moderation and audit layers. • Anti-Bot & Hard Targets — Cloudflare, AWS-WAF, aggressive rate limiting: I know when to engineer around it and when to tell you it's not worth it. How I work: • Feasibility-first: I tell you what's realistic before you commit — including when the answer is "don't do this." • Accuracy over volume: every record is verified or clearly flagged. No fabricated data, ever. • Documented & reusable: scripts, schemas, pipelines you can run again without me. • AI done right: generated content is moderated and human-reviewed — I don't ship hallucination-prone outputs. Selected outcomes: • Built a 50,000+ record physician directory from publicly available health registries, deduplicated and URL-verified — delivered as a structured database for client's internal use. • Processed 60,000+ facility records (clinics, hospitals, labs) from an open government registry, with ~85% phone and ~75% email completeness — cleaned, normalized, and export-ready. • Extracted 15,000+ product reviews from a Cloudflare-protected e-commerce site in 3 days with dual-pass validation. • Delivered a 5,000+ record Google Maps enrichment pipeline (phone/website/email matching, 23-28% verified-match rate). • Processed formula-heavy, bilingual PDFs into structured Excel — eliminating days of manual re-entry. Skills: lead generation, prospect list, B2B data, list building, contact enrichment, data scraping, web scraping, Python, Playwright, Selenium, API integration, RAG, vector databases, PDF parsing, data cleaning, data mining, market research Languages: Fluent English & Chinese. Message me with your use case. I'll reply within 24 hours with a feasibility assessment and a realistic plan — including what I can't do, so you never waste budget on false promises.

I'm a detail-oriented professional with a strong background in data annotation, customer service, content moderation, and real estate administration. Over the past six years, I’ve worked with annotation tools such as CVAT, Label Studio, Labelbox, and LiDAR, helping teams build accurate datasets for machine learning projects. I’m also comfortable using Anaconda and PowerShell to support data workflows. In addition to my technical skills, I bring 4 years of customer service experience and 2 years of experience working in real estate administration, where I handled scheduling, document management, and client communications. I also spent 1 year as a content moderator, reviewing and managing digital content for safety and compliance. I take pride in being detail-focused, efficient, and adaptable across different industries. Beyond my work experience, I’ve also invested in my professional growth by completing training in social media management, GoHighLevel CRM, lead generation, and executive virtual assistance. These skills have prepared me to handle tasks from managing online presence and campaigns to supporting executives and clients efficiently. Overall, my blend of hands-on experience, technical skills, and continuous learning makes me a great match for this role, especially if you're looking for someone adaptable, proactive, and results-driven. Tools - Bounding boxes. - Polygon Annotation - Semantic segmentation. - LiDAR annotation. - Landmark/key-point annotation. - Line Annotation (for example, road lines, Streetlights & Road signs). - Cuboid Annotation. - Live annotation (using Anaconda PowerShell tool for sports event) -Calendly Annotation Platform -Remotask 3d&2d Lidar/Lidar lite & segmentation projects -Label Studio -Anaconda Powershell Prompt -CVAT -LabelBox -SuperAnnotation Let us discuss the project and have the best quality for your data set.

Hi, I'm Shivam 🚀 I build RLHF environments for a frontier lab, shipped the AI assistant for the world's largest fintech event (10,000+ concurrent users), and delivered public apps for a publicly-traded company. I've also: → Saved a US client $2M in at-risk revenue with rapid AI-powered incident response → Trained flagship models for the world's top Frontier AI Labs (RLHF, reserved for top-tier engineers) → Published India's largest open source road dataset for AV research → Built automations for one of India's largest real estate firms that cut delivery time 20% across the whole team I build AI systems and automations that actually move numbers: chatbots, voice agents, RAG pipelines, and workflow automation for companies that can't afford to get it wrong. The longer version: Pleasure to meet you. I'm Shivam, an AI consultant and engineer who builds LLM systems and automations that hold up under real load and move real numbers. A few things I've shipped: - Global Fintech Fest 2025 (world's largest fintech event): the official AI assistant with RAG, 10,000+ concurrent users at peak with sub-second responses. - Frontier AI Labs: RLHF on flagship models alongside the world's leading AI labs, work reserved for a small pool of top engineers. - Homeland Group, one of India's largest real estate firms: AI workflow automation that cut delivery time 20% team-wide. - IgniteTech: prevented $2M in at-risk revenue and kept legacy systems at 99.9% uptime. What I do for you: - AI chatbots & assistants: RAG pipelines, vector databases (Pinecone, Weaviate, Qdrant), semantic search over your data - Workflow & process automation that reclaims hours and scales throughput - Full-stack AI apps: React / Next.js / Node.js / FastAPI, PostgreSQL, cloud infra (AWS, Docker, Kubernetes) - AI consulting: finding where LLMs create real value and building the thing that captures it You'll get systems that last and clear communication the whole way. Looking forward to meeting you.

🚀 Expert AI Agent Engineer | LLMs | RAG | Context Engineering | Agent Platform ⚽️ What I can do for you : ✦ Design and build multi-agent systems where specialized agents collaborate to complete complex, multi-step tasks (using LangChain, LangGraph, CrewAI, or raw OpenAI/Anthropic APIs) ✦ Implement tool-use and function-calling pipelines (web search, database queries, API calls, code execution, and custom business logic) ✦ Build RAG-powered agents that retrieve and reason over your proprietary documents (PDF, Excel, internal knowledge bases) ✦ Build GraphRAG agents backed by a knowledge graph for structured, relationship-aware reasoning ✦ Automate agentic workflows with n8n or Celery - triggered by schedules, events, or user input, running fully autonomously ✦ Deploy agents as production-ready REST APIs (FastAPI) on AWS (EC2, Lambda) with scalable, async architectures ✦ Integrate agents into your existing systems and products with clean, maintainable interfaces What I specialize in: - RAG & GraphRAG systems: including knowledge graph-powered assistants for clinical diagnosis support or Customer Support - LLM Agents & multi-agent workflows: autonomous pipelines that handle complex, multi-step user requests - LLM fine-tuning: on OpenAI, Gemini, Groq, and open-source models for domain-specific tasks - End-to-end AI pipelines: from raw data ingestion (PDF, Excel) to vectorization, retrieval, and API delivery Results I've delivered: - Built a healthcare GraphRAG assistant that processes 100MB+ clinical documents and analyzes node relationships in under 3 minutes — shipped in 1 month - Contributed to an AI brand monitoring platform that helped acquire 10 paid clients within 2 months of launch - Delivered a banking LLM chatbot achieving 80% accuracy within a 1-month development window - Achieved 92% license plate recognition accuracy on a constrained dataset of only 300 images for a Panasonic parking system Beyond execution, I actively track the latest SOTA research, reading recently published papers and integrating cutting-edge approaches directly into production systems. Your project benefits not just from solid engineering, but from knowledge of what actually works in practice right now. I'm always ready to connect. Please don't hesitate to message me.

Dedicated and results-driven property manager with a passion for delivering exceptional support and ensuring the smooth operation of short-term rental properties. I specialize in guest communication, property management, booking coordination, and day-to-day operational support, helping hosts provide outstanding guest experiences while maximizing efficiency. With strong organizational skills, exceptional attention to detail, and the ability to manage multiple tasks in fast-paced environments, I consistently deliver reliable, high-quality results. I take pride in my professionalism, proactive communication, problem-solving abilities, and commitment to exceeding expectations. My goal is to help hosts and property managers streamline their operations, increase guest satisfaction, and achieve long-term success. MY SPECIALIZATIONS: ✅ Guest Communication: Deliver exceptional, proactive, and personalized communication to ensure every guest enjoys a seamless, comfortable, and five-star experience. ✅ CCTV Monitoring & Review: Proactively monitor security footage to maintain property safety, identify potential issues, and respond promptly to incidents. ✅ File Claims & Dispute Reviews: Submit and manage claims while professionally disputing unfair reviews to maintain your property's standing. ✅ Scheduling and Coordination: Organize and oversee cleaners and contractors to maintain property standards. ✅ Order STR Supplies: Ensure properties are well-stocked with essential supplies. ✅ Filing Transient Occupancy Taxes: Manage tax filings accurately and timely. ✅ Guest Reviews: Provide honest and insightful feedback on guests. ✅ Virtual Turnover Inspections: Conduct virtual inspections of turnover pictures to ensure property readiness. ✅ Listing Creation, Optimization, and Reactivation: Create, integrate, optimize and reactivate listings on Airbnb, VRBO, and Booking(dot)com. ✅ Automated Messaging: Develop and implement automated messages for streamlined communication. ✅ Basic Bookkeeping: Manage basic financial records to keep accounts in order. PROFICIENCIES: •Microsoft Word •Microsoft Excel •Gmail •Outlook •Dropbox •Google Drive •Slack •Pumble •Airbnb •VRBO •Booking(dot)com •Rankbreeze •Airdna •Monday(dot)com •Ooma Office •Spokephone •Ring Central •Turno •Hospitable •Hostaway •IGMS •Enso connect •ClickUp •Mirage ID •Zoho •Asana •Remote Lock •Quickbooks Online.

I build AI agents that ship into real products — not demos. LangGraph and RAG systems on the inside, Next.js and Node on the outside, deployed and maintained in production. Latest: an agentic operating system running a robotic biotech lab (Draper-backed, $1M seed), and AI job-matching agents live on a multi-region job board (six contracts, repeat client). Top Rated, 100% Job Success, every client rating 5.0. WHAT I BUILD → Agentic systems LangGraph state machines with checkpointed threads, human-in-the-loop approval gates, tool use, and real-time streaming — exposed as APIs your product calls. OpenAI, Claude, and Gemini models; LangChain where it fits. → RAG and retrieval Embeddings, reranking, and vector search (Qdrant, ChromaDB) over your documents. Open-source models served on RunPod, vLLM, and Ollama — including custom embedding and reranker models (Nomic) when hosted APIs aren't the right fit. → AI workflow automation n8n, GoHighLevel, and custom Python: lead routing, follow-ups, data sync, scheduled posting bots, CRM automation — with an agent in the loop where judgment is needed. → The product around the AI Next.js/TypeScript frontends; Node (Express, NestJS) or FastAPI backends; PostgreSQL, MongoDB; deployed on AWS, Google Cloud, or a VPS you own. SELECTED WORK • Agentic OS for a robotic biotech lab — one conversational interface (Next.js + FastAPI) orchestrating 5 microservices and 6 physical subsystems in an incubator-integrated workcell. LangGraph state machine, Postgres-checkpointed threads, HITL approval gates, SSE streaming; protocol engine covering 8 cell-culture operation types, batching up to 40 flasks with pre-execution validation. Demoed live at an industry conference. • AI job-matching agents for a multi-region job board — agents that match applicants to jobs and suggest roles from a user's profile and CV; migrated the platform off a failed WordPress build onto a custom React/Node stack on a VPS. Six contracts, all rated 5.0. • No-code AI agent builder (SaaS on n8n) — RAG pipeline with Nomic embeddings and a reranker on RunPod, multi-document summarization agents, a Polish LLM (PLLuM) served through vLLM; agent setup time cut from hours to minutes. • Social media content agent — a multi-step agent that generates posts modeled on high-performing content, deployed on a server and scheduled through n8n with Google Sheets and social APIs. HOW I WORK • Architecture first. I'll tell you which parts should be an agent, which should be a plain function, and why. • Production from day one: state, approvals, and failure handling are designed in, not bolted on. Typed code, Git workflow with review. • Clear, structured communication and end-to-end ownership from architecture to deployment. Clients consistently rate me collaborative and a clear communicator. STACK AI: LangGraph, LangChain, OpenAI / Anthropic / Gemini APIs, RAG, embeddings & reranking, Qdrant, ChromaDB, vLLM, Ollama, RunPod Automation: n8n, GoHighLevel, Python Web: Next.js, React, TypeScript, Node.js, Express, NestJS, FastAPI, Tailwind CSS, PostgreSQL, MongoDB, MySQL, Prisma Infra: AWS (EC2), Google Cloud, VPS (AlmaLinux), Heroku Open source: memvault — persistent long-term memory for AI agents. Microsoft Azure AI certified. If you have a product and want agents inside it that survive real users, send me the problem and the stack — I'll reply with an approach, not a pitch.