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AI-powered software, automation systems, and applications built to streamline real business operations Many companies grow faster than their internal systems. Processes that once worked manually start becoming inefficient. Teams spend time entering data, responding to repetitive inquiries, or switching between disconnected tools. I help businesses solve that problem by building AI-powered software, automation systems, and custom applications that connect workflows, automate tasks, and make operations more efficient. My focus is on AI Voice Agents, AI chatbots, AI software, and AI automation systems that integrate with existing platforms such as CRMs, messaging tools, databases, and internal business systems. AI Voice Agents & AI Chatbots I build AI voice agents and conversational AI systems that automate communication with customers, leads, and internal teams. Services include: • AI Voice Agents for inbound and outbound calls • Conversational AI Chatbots for websites, WhatsApp, and messaging platforms • Lead qualification and automated customer support systems • Voice AI integrations using tools like VAPI and Retell AI • AI agents that integrate with CRMs and internal databases These systems allow businesses to respond instantly to customers while reducing manual workload. AI Automation & Workflow Systems I design and implement AI automation systems that connect tools and automate repetitive tasks. • Workflow automation using n8n and Make • Intelligent AI Agents that analyze data and trigger actions • CRM automation and marketing workflow automation • AI-driven reporting and operational insights • End-to-end AI Automations that streamline internal processes Custom AI Software & Platforms Beyond automation, I build custom AI-powered software systems tailored to business operations. • AI Software Development using Node.js and Python • Custom AI Agentic Solutions for operational workflows • Integration of OpenAI and Claude LLM models into software platforms • Backend systems and API integrations • AI Custom Solutions designed around real business use cases These platforms help companies centralize their operations and eliminate fragmented systems. Mobile Application Development I also build mobile applications that integrate with backend systems and AI-powered services. • Mobile Application Development for operational tools • iOS application development and cross-platform solutions • Field service apps for managing teams, jobs, and workflows • Apps integrated with automation systems and databases Real Systems Built for Real Businesses I have built AI-powered platforms and automation systems for multiple companies including: • So Special Mobile Mechanic – AI-infused mobile application and operational platform • Al Arabi Company – dispatch system for operations and maintenance management • Mystical Agency and Intero Digital – AI automation and proposal generation systems • AI chatbot and WhatsApp automation systems for clinics and service businesses These systems typically include AI agents, automation pipelines, mobile apps, dashboards, and backend integrations that help businesses manage operations more efficiently. Technology & Tools My systems are typically built using: • Node.js and Python for backend development • OpenAI and Claude for LLM-based AI systems • n8n and Make for workflow automation • VAPI and Retell AI for voice agents • API integrations with CRMs, marketing tools, and databases Ideal Clients I work best with businesses that need to: ✔ Automate manual processes ✔ Build AI-powered applications or platforms ✔ Integrate systems across multiple tools ✔ Develop custom software or mobile applications ✔ Introduce AI into operations to improve efficiency Most of my clients are companies whose operations have grown faster than their internal systems — and they need technology that can automate workflows, connect tools, and scale with their business. If you're looking to build AI-powered software, automate workflows, deploy AI voice agents, or develop custom applications, feel free to message me and let's discuss your project.

I’m an accomplished engineering leader and technology executive with 27 years of hands-on experience architecting and building products across AI, security, SaaS, and cloud platforms. My career has spanned startups, enterprise organizations, and everything in between, allowing me to lead multidisciplinary teams and deliver complex solutions that drive real business value. I am as comfortable writing code and solving technical challenges as I am defining product strategy and mentoring engineers. I thrive in dynamic environments where innovation, collaboration, and execution are paramount. My expertise covers the entire product lifecycle—from initial concept and architecture to deployment and ongoing optimization. I have led teams in Agile environments, built robust cloud infrastructures, and delivered customer-facing applications that scale. I’m passionate about turning ambitious ideas into reality, fostering a culture of continuous learning, and helping organizations exceed their technology goals. Key Skills & Competencies: Full-stack engineering (JavaScript, Python, Node.js, React, React Native, Swift) AI, machine learning, and deep learning solutions Cloud architecture (AWS, Docker, Kubernetes) Security engineering and best practices SaaS platform development and scaling Agile/Scrum planning, process, and team leadership API design (GraphQL, REST) UX/UI design and prototyping Data science and analytics Mobile and web application development Technical content creation and training If you’re looking for an engineering partner who brings technical depth, leadership, and a relentless drive for results, I’d love to help you bring your next project to life

I'm an AI Engineer and Data Scientist with 5+ years of experience designing, building, and scaling production-grade AI systems and intelligent platforms. I specialize in multi-agent orchestration, MCP server development, Retrieval-Augmented Generation (RAG) pipelines, and enterprise-grade AI deployments. I help startups and enterprises move beyond demos into reliable, scalable AI products from agentic architectures and API platforms to full-stack AI SaaS backends running in production. My work spans the entire product stack: AI core, APIs, databases, payment integration, and cloud deployment so you get a complete, shippable product, not just a proof of concept. Core Skills & Expertise : → MCP Server Development Designing secure, scalable MCP servers to enable multi-agent collaboration and seamless AI integration with internal systems, databases, and external APIs. → Multi-Agent AI Orchestration Building task-driven agent workflows using Microsoft Agent Framework, LangGraph, LangChain, and Google ADK to orchestrate complex reasoning, planning, and execution pipelines. → RAG Pipelines (Production-Ready) Designed and deployed RAG systems at Bell Media (Canada's largest media company), combining FAISS, TF-IDF, and Hugging Face Transformers to deliver accurate, context-aware AI responses over proprietary data. → Enterprise AI Deployments (Cloud-Native) Architecting and deploying AI systems on GCP, Azure, and AWS with production considerations including scalability, security, observability, and cost optimization including production deployment pipelines with GCP Cloud Run, staging environments, and YAML-based CI/CD. → Full-Stack AI SaaS Delivery Building end-to-end AI SaaS products with FastAPI backends, Supabase / PostgreSQL / MongoDB data layers, React front-ends, and payment integrations across Stripe, PayPal, and Peach — delivering complete, revenue-ready platforms rather than isolated AI components. Academic & Research Background → Fully funded MSc in Computer Science → Teaching Assistant for graduate & undergraduate courses → Graduate Research Assistant at CNIB (sign-language recognition for accessibility) → Research collaborations with Zayed University (pose & gesture recognition) → 5 peer-reviewed publications in international conferences & journals → Thesis-based MSc with successful defense before academic committee What I Build I design and ship enterprise-ready AI platforms and AI SaaS products using: Multi-Agent Orchestration · RAG Systems · MCP Servers · Google ADK · Microsoft Agent Framework · FastAPI · Supabase · PostgreSQL · MongoDB · React · Stripe / PayPal / Peach · GCP / Azure / AWS · Docker · CI/CD Pipelines If you're looking to move from an AI proof-of-concept to a scalable, production-grade platform, I can help you architect, build, and deploy it with proper engineering foundations across the full stack.

Dear Clients, I am Amit Kumar, CEO & Co-founder of Orion eSolutions, headquartered in Toronto, Canada. With over 15 years of entrepreneurial experience, I lead a team of over 150 professionals at our AI Development and Custom Application Development company. Our expertise spans Custom Software Development, Artificial Intelligence and Machine Learning, On-Demand Software Engineers, certified DevOps consultants, and QA Engineers, tailored to meet the unique needs of each project. At Orion eSolutions, we harness the power of AI, Machine Learning (ML), and AI Agents to deliver cutting-edge solutions that transform businesses. Our AI techniques provide innovative approaches for end-to-end product development and IT staff augmentation, ensuring your business stays ahead of the curve. Our talent pool includes experts in the following technologies: - Artificial Intelligence & Machine Learning: AI algorithm development, ML model training and deployment, Natural Language Processing (NLP), Computer Vision, Predictive Analytics, AI-Powered Chatbots and Voice Assistants - Backend Development: ASP.NET, Dotnet Core, Java, Laravel, Node.JS, Python, Django - Frontend Development: Angular, React.JS, Vue.JS, HTML, UX Specialists - DevOps & Cloud Services: Kubernetes, Terraform, AWS, Azure, GCP, VM Ware, Heroku, OpenStack - Managed IT Services: IT Security, Network & Server Management (Linux/Windows), Server Application, - Database Management & Monitoring - Mobile Development: Native iOS, Native Android, Ionic, Flutter, React Native - Quality Assurance: Functional Testing, Non-Functional Testing, Specialized Testing Services, Test Automation - UI/UX Design: Research, User Experience (UX) Design, User Interface (UI) Design, Product Redesign Services, Brand Design Our AI and ML capabilities are showcased in our AI-powered agents at voagents.ai, which provide seamless voice and text interactions for scheduling, customer support, and more. Contracts are managed through our North American entities, ensuring full accountability. We offer the option for physical meetings with our staff in the USA/Canada to secure contracts. Let's talk about your project. - Amit Kumar CEO, Orion eSolutions Inc.

I take over Cloud (AWS, GCP) infrastructure that's scaling faster than your team can manage - and make it stable, observable, and cost-efficient. Recent work: Navya Network (Healthcare AI) - 4 months ongoing. Zero-downtime ECS Fargate migration, Databricks cost optimization, multi-region architecture. 99.9% availability with sub-second agent orchestration. Ockam (AI startup) - Led SOC2 compliance from scratch while rebuilding their platform architecture. Invesco (Fortune 500) - Migrated 500+ applications to AWS. Genentech - Built enterprise container platform that cut developer onboarding from weeks to days. What I deliver: Production Kubernetes and ECS at scale. Terraform infrastructure you can actually maintain. CI/CD pipelines that don't break. Observability that tells you what's wrong before customers do. How I work: Async-first, timezone-flexible. I document everything and build for handoff - you get infrastructure your team can run without me. Available for 2-4 week projects or longer engagements. Previously scaled a platform engineering practice from 12 to 150 engineers at Slalom Build. Now running Accelra Technologies and taking select consulting work.

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝗲𝗮𝘁𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. I’m Claire L., a Senior Machine Learning Engineer specializing in Generative AI, LLM-based systems, Deep Learning, Computer Vision (YOLO), Predictive Analytics, and production-grade MLOps deployment. I hold a MSc degree in Computer Science and AI with 8+ years of experience helping startups, fintech platforms, healthcare teams, and growing enterprises move from AI idea to production deployment, reliably and at scale. I don’t build experiments. I build systems that integrate cleanly, perform consistently, and deliver long-term value. 𝗪𝗵𝗮𝘁 𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗜𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 • Retrieval-Augmented Generation (RAG) • AI copilots & intelligent assistants • Knowledge-base integrated chatbots • Structured data grounding & vector search • Evaluation, guardrails & performance optimization 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 & 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • Demand forecasting & time-series modeling • Fraud detection & risk scoring • Customer churn & behavioral prediction • Feature engineering & model optimization 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • YOLO-based object detection (YOLOv5 / YOLOv8) • Image classification & video intelligence • Custom dataset training & small-object detection • Edge optimization & quantization-aware deployment 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 • End-to-end ML pipelines • Model monitoring & drift detection • CI/CD for machine learning • Scalable cloud deployment (AWS, Azure, GCP) • API integration & system architecture design 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗜𝗺𝗽𝗮𝗰𝘁 • Reduced operational waste by 25% through advanced forecasting systems • Improved fraud detection precision for fintech platforms • Built enterprise-grade AI assistants integrated with structured knowledge bases • Deployed real-time object detection systems in production environments • Designed scalable ML infrastructure supporting long-term model reliability 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 • Python | TensorFlow | PyTorch | Scikit-learn • Cloud Platforms: AWS, Azure, Google Cloud • MLOps: Docker, Kubernetes, MLflow • NLP, Computer Vision, Generative AI & Predictive Modeling • N8N, Zapier, Airtable Automations, Make (Integromat), Notion Automations, Retool 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Every engagement begins with defining measurable KPIs and a clear architecture plan. From there, I design the right combination of data pipelines, models, and infrastructure to ensure the solution performs reliably in production, not just in development. I work best with teams building serious products who need AI engineered properly from day one: secure, scalable, and maintainable. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀 𝗮𝗻𝗱 𝗻𝗲𝗲𝗱 𝘀𝗲𝗻𝗶𝗼𝗿-𝗹𝗲𝘃𝗲𝗹 𝗔𝗜 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, 𝗜’𝗱 𝗯𝗲 𝗴𝗹𝗮𝗱 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀.