"esteemed contractor", "brings new insights and plussed-up solutions", "massive asset to our team" 10+ years✓ $400k+ earnings✓ 4000+ hours✓ Individual freelancer✓ Certified IBM Machine Learning Professional ✅ Clients have been impressed by my professional approach, ability to complete tasks ahead of schedule, and deep knowledge of iOS development. ✅ Exceptional problem-solving skills, innovation, self-management and excellent communication abilities. ✅ An active contributor to GitHub. Some of my key success areas are: ✅ Integrating AI and machine‑learning models into iOS apps. ✅ Updating or fixing older, defunct apps written in Objective‑C or Swift. ✅ Using and integrating with backend services such as REST APIs. Core skills (not an exhaustive list) ✅ Worked with HealthKit, CoreBluetooth, CoreGraphics, UIKit, SwiftUI, CoreLocation, In‑App Purchases, CoreData, and many other iOS frameworks. ✅ Built geospatial apps, maps, R‑Tree algorithms, and large‑scale geo‑data solutions on iOS. ✅ Skilled with UI/UX animation tools such as PaintCode, and with embedding assets in CoreGraphics efficiently. ✅ Experienced with AI technologies such as MyScript (hand‑writing recognition) and staying familiar with newer platforms such as OpenAI, Anthropic, etc. ✅ Proficient in using architectural patterns such as Model‑View‑ViewModel + Coordinator (MVVM‑C) and applying them in UIKit and MapKit for geospatial apps, binding data and presentation with RxSwift and Combine. ✅ Skilled in creating Swift Packages and incorporating code from C/C++, Objective‑C, and Swift. This provides a simple way for other developers to use mathematical or statistical libraries without dealing with platform‑specific, deprecated‑code, or linkage issues, while preserving unit tests for macOS builds. ✅ Proficient in Python 3 and using it to prepare, analyze, or transform data for AI/ML models before migrating a pre‑existing model to the macOS/iOS AI/ML toolchain (Core ML, Vision, Speech, etc.) via .mlmodel files. The AI Co‑worker’s policy ✅ Always adhere to the client’s AI policies when using agentic‑AI workflows within my development process. ✅ Prioritize local LLMs as the first choice to preserve data privacy and keep intellectual property inside the development environment. Cloud AI (ChatGPT, Claude) is used only as a last resort and only with the client’s permission. ✅ Running local LLM models provides flexibility in selecting the most appropriate model (e.g., Qwen‑3 Coder, Llama, IBM Granite) for tasks such as debugging code, generating boilerplate, or performing code reviews. You, the client(s) ✅ High client‑retention rate (80 %+); clients keep coming back! ✅ Experience on $50k‑plus projects, though I also enjoy smaller, intellectually stimulating assignments. ✅ More than just “fingers and hands that punch code.” ✅ I plan my schedule in alignment with your needs. Course and licences by IBM - Deep Learning and Reinforcement Learning. Certificate number: S7Z8ZA6VPDJD can be verified in the Licenses section. Skills gained: Artificial Intelligence, Artificial Neural Networks, Convolution Neural Networks, Generative Model Architectures, Generative AI, Machine Learning Methods, Computer Vision, Model Optimization, Machine Learning, Transfer Learning, Unsupervised Learning Selected client feedback “…works well independently, brings new insights and polished solutions, responsive and clear with top‑quality work. Have already hired again!” “We knew we would need a highly organized and innovative developer who could self‑manage the development process, and Theo delivered.” “Excellent work – understood the task well, provided good feedback, completed work within schedule.” “Provided a very straightforward and well‑thought‑out plan.” “Theo would be the best choice.” If you are interested or need more information, let me know. Theo

AI Agent Developer | Full Stack SaaS Developer | RAG, LLM, OpenAI, LangChain I help startups and businesses build AI-powered SaaS products, AI Agents, RAG systems, AI Automations, and full-stack web applications that solve real business problems. Over the last 10+ years, I have built and scaled SaaS products, web applications, mobile apps, internal business tools, and AI-powered platforms across wellness, health, logistics, coaching, and enterprise domains. Today, my primary focus is helping companies integrate AI into their products through: ✅ AI Agents ✅ OpenAI & Claude Integrations ✅ RAG (Retrieval-Augmented Generation) ✅ Multi-Agent Workflows ✅ AI Chatbots ✅ AI Automation Systems ✅ SaaS + AI Platforms ✅ Internal AI Tools ✅ Knowledge Base Assistants ✅ Workflow Automation ✅ Custom GPT-like Applications Full Stack Expertise: Frontend: • React.js • Next.js • TypeScript • Tailwind CSS Backend: • Python • Django • FastAPI • Node.js • NestJS • Express.js AI Stack: • OpenAI • Claude • LangChain • RAG • Vector Databases • AI Agents | Generative AI • MCP • Prompt Engineering • AI Automation Database: • PostgreSQL • MongoDB • Supabase • MySQL • Firebase Cloud & DevOps: • AWS • Docker • CI/CD • Vercel • GitHub Actions What I Build: • AI SaaS Products • AI Agent Platforms • Custom GPT Applications • AI Powered Dashboards • Internal Business Tools • Marketplace Platforms • Enterprise Applications • MVP Development • SaaS Development • Workflow Automation Systems 🏆 Top Rated Plus 🏆 100% Job Success 🏆 4500+ Hours on Upwork 🏆 25+ Products Delivered 🏆 10+ Years Experience If you're looking for someone who can take an AI product from idea to production, including architecture, AI integration, backend systems, frontend development, deployment, and scaling, let's talk.

⭐⭐⭐ 𝗘𝘅𝗽𝗲𝗿𝘁-𝗩𝗲𝘁𝘁𝗲𝗱, 𝘁𝗼𝗽 𝟭% 𝘁𝗮𝗹𝗲𝗻𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ⭐⭐⭐ If you are looking to turn your data into smarter decisions with precision and insight, you are the right place. Hi! I’m Teo. Your go-to 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 & 𝗣𝘆𝘁𝗵𝗼𝗻/𝗥 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 with over 12 years of experience in Biology and Bioinformatics. I use advanced 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝘀 and 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 to uncover hidden patterns, predict future trends, and help small to large businesses make data-driven decisions. 𝗪𝗘 𝗔𝗥𝗘 𝗔 𝗚𝗥𝗘𝗔𝗧 𝗙𝗜𝗧 𝗜𝗙: ✅ You’re working with 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗯𝗶𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗼𝗿 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗱𝗮𝘁𝗮 and need someone 𝘄𝗵𝗼 𝘀𝗽𝗲𝗮𝗸𝘀 𝗯𝗼𝘁𝗵 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗰𝗼𝗱𝗲. ✅You're a 𝘀𝘁𝗮𝗿𝘁𝘂𝗽, 𝗹𝗮𝗯, 𝗼𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘀𝗲𝗲𝗸𝗶𝗻𝗴 𝗮 𝗣𝘆𝘁𝗵𝗼𝗻/𝗥 𝗲𝘅𝗽𝗲𝗿𝘁 who understands the nuances of bioinformatics, clinical data, or experimental workflows. ✅You're looking for 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 that do more than just crunch numbers — they deliver meaningful predictions for research or business decisions. 👉𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 𝗜 𝗢𝗙𝗙𝗘𝗥 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 - Customer segmentation and behavioral modeling - Predictive analytics (sales forecasts, churn prediction, etc.) - Time series forecasting (e.g., lab results, supply chain data, etc.) - Anomaly detection in scientific or business data 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 - Interactive Dashboards using R Shiny, Python, and React for data exploration and insights. - Custom Visual Reports for scientific research, business analysis, or stakeholder presentations, using tools like ggplot2. - Business and Scientific Data Reports 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 (𝘄𝗶𝘁𝗵 𝗥 𝗦𝗵𝗶𝗻𝘆, 𝗣𝘆𝗦𝗵𝗶𝗻𝘆, 𝗗𝗮𝘀𝗵) - Interactive ML dashboards that allow users to run models on the fly - Real-time model result visualization - Tools for non-technical users to interact with ML-powered insights - Training and deploying models through web apps 𝗕𝗶𝗼𝗹𝗼𝗴𝘆 / 𝗕𝗶𝗼𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 - Predictive modeling for gene expression or drug discovery - Classification of biological samples (e.g., cancer vs. non-cancer tissues) - ML for personalized medicine or clinical outcome predictions - ML-powered analysis of omics data (genomics, proteomics, etc.) ⏭️What’s next? 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝗺𝗲 𝘁𝗼𝗱𝗮𝘆 to book a complimentary call with your trusted Bioinformatician and let’s discuss your project in more detail.

If you're working on a map-based project, building a GIS platform, or need help developing a solid MVP with spatial data, I’d be happy to help. I bring experience in both full-stack web development and geospatial data analysis, using modern tools and frameworks. What I Work On: - Interactive Map Development (Map box, Leaflet, Cesium) - Frontend & Backend (React, Vue, Node.js, Django, Python) - Geospatial Databases (PostgreSQL, PostGIS, Oracle Spatial) - Spatial Analysis - 2D/3D Data Visualization - Desktop GIS Tools (ArcGIS, QGIS, ArcPy) - Raster & Vector Tiling - Plugin Development for QGIS & ArcGIS Areas of Interest: 1. GIS Data Digitization & Spatial Analysis 2. Python-based Desktop Applications 3. GIS Web Mapping Solutions 4. Remote Sensing 5. Django & Python for Web GIS 6. ESRI JavaScript & REST APIs 7. Spatial Databases and SQL Optimization 8. Raster & Vector Tile Processing

Full Stack Developer focused on building high-quality, scalable, and secure web platforms that work smoothly across all devices. I can handle both frontend and backend. I have worked with startups, growing businesses, and large companies to create fast, and secure user-friendly web solutions. I always write clean code, follow best practices, and focus on what the client truly needs. Whether it's starting a project from scratch or improving an existing one, I can manage the full process from planning to deployment 𝗔𝗜-𝗥𝗲𝗮𝗱𝘆 𝗕𝗼𝗶𝗹𝗲𝗿𝗽𝗹𝗮𝘁𝗲𝘀 & 𝗦𝘁𝗮𝗿𝘁𝗲𝗿 𝗞𝗶𝘁𝘀: Full-stack SSR boilerplates with Next.js, NestJS, Prisma, and PostgreSQL AI/ML-powered app templates using SSR architecture Modular and production-ready setups for faster MVP launches 🧠 Tech Stack: 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React.js, Next.js, Vue.js, JavaScript, TypeScript, HTML5, CSS3, Tailwind CSS, Bootstrap, jQuery, Redux, 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, Express.js, Dotnet, Python (Django, Flask), Payment Integrations: Stripe, PayPal, SaaS subscriptions 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MySQL, PostgreSQL, MongoDB, SQLite, Firebase, 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, Git, GitHub, GitLab, CI/CD, Apache, AWS (EC2, S3, RDS, Lambda), Heroku, DigitalOcean, cPanel, VPS setup 𝗦𝗮𝗮𝗦 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Multi-Tenant Architecture & role-based access Subscription billing, user onboarding Automation & workflows using Python scripts Integration with third-party services and APIs 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗻𝟴𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Proficiency in building and managing n8n workflows for process automation Custom JavaScript/TypeScript functions and node development Integration with third-party APIs, webhook handling, OAuth2 authentication Advanced use of triggers, conditional logic, and data transformation Deployment using Docker, with optimized environment variables and performance tuning Long-term roles as a Lead Developer in SaaS, AI-powered platforms, or high-growth startups. I am passionate about building scalable systems that grow with your business. Available for new opportunities feel free to message or invite me to discuss your project needs.

🚀 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌𝐬 | 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 | 𝐑𝐀𝐆 | 𝐃𝐣𝐚𝐧𝐠𝐨 | 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋 I’m a Senior Python & AI Engineer with 9+ years of experience building scalable web applications, AI-powered products, and enterprise backend systems. I specialize in Python, Django, PostgreSQL, LLMs, RAG, and Agentic AI, helping startups and businesses turn ideas into production-ready solutions. From AI assistants and multi-agent workflows to SaaS platforms and custom backend systems, I develop secure, scalable, and high-performance applications focused on real business outcomes. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 ✔ Python & Django Applications ✔ AI-Powered SaaS Platforms ✔ LLM Applications (OpenAI, Claude, Gemini) ✔ RAG & Knowledge Base Systems ✔ AI Agents & Multi-Agent Workflows ✔ LangChain, LangGraph & CrewAI Solutions ✔ FastAPI & REST API Development ✔ PostgreSQL Database Design & Optimization ✔ AI Chatbots & Virtual Assistants ✔ Workflow Automation & AI Integrations ✔ Web Scraping & Data Pipelines ✔ Third-Party API Integrations ✔ Cloud Deployment (AWS, Azure, Docker) 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Backend: Python, Django, FastAPI, Flask AI: OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, MCP, RAG, Prompt Engineering, Vector Databases Databases: PostgreSQL, MySQL, MongoDB, Redis Cloud & DevOps: AWS, Azure, Docker, Kubernetes, CI/CD, Linux Frontend: React, Next.js, JavaScript, TypeScript I focus on clean architecture, maintainable code, and scalable AI solutions that deliver measurable business value. Let's build intelligent, AI-powered applications that help your business grow. Best Regards, Mukesh Kumar 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: Python Developer, AI Engineer, Python AI Engineer, LLM Engineer, Agentic AI, AI Agents, RAG, Django Developer, FastAPI, PostgreSQL, OpenAI API, Claude API, Gemini API, LangChain, LangGraph, CrewAI, MCP, AI Chatbot, AI Assistant, Vector Database, Knowledge Base, Semantic Search, Workflow Automation, SaaS Development, REST API, Backend Development, AWS, Azure, Docker, Kubernetes.

Some of my work is building things from zero. Some of it is walking into a mess someone else left behind and making it work. Both come up a lot, so I got good at both. Three recent projects, all the same underneath: 🔹 A CRM, built from scratch. The old one was slow, barely had working login security, and was basically patched together at that point 🔹 A data pipeline for a scientific project. Raw data was so messy that the modeling was actually the easy part 🔹 A GoHighLevel setup where ad tracking and half the automations were broken. Fixed the tracking, rebuilt the workflows, then added the AI layer on top I don't really care if the job is "build new" or "fix old". Either way someone needs a system that actually holds up once real people start using it daily, not just once in a demo call. Most clients who work with me once end up coming back for the next thing. Once the system holds up, there's usually more they want built on top of it.

✅ Upwork's Top Choice ✅ Senior Full Stack & AI Engineer ✅ 100+ AI MVPs, RAG Systems & Scalable SaaS Platforms Delivered Worldwide ✅ Top 1% of Upwork Talent What I deliver: ✓ Voice AI & Conversational Agents — Production voice agents using LiveKit, Telnyx, Twilio SIP trunking, Deepgram STT, ElevenLabs TTS, and OpenAI Realtime API. Inbound receptionists, outbound campaigns, lead qualification, appointment booking, and human handoff. Real telephony, real conversations, real business outcomes. ✓ Advanced AI, RAG & LLM Engineering — Building production-grade RAG pipelines, AI agents, and LLM-powered applications using Generative AI, Vector Databases, Computer Vision, and NLP. I connect AI to your proprietary data through secure, retrieval-augmented architectures and custom AI assistants built for real business use cases. ✓ Full-Stack AI SaaS Development — Delivering scalable, high-performance AI SaaS MVPs and multi-tenant platforms using React, Next.js, FastAPI, and Django. I specialize in SaaS architecture that bridges the gap between cutting-edge AI capabilities and production-ready web applications. ✓ AI Cloud & Infrastructure Engineering — Real-time AI inference pipelines on AWS (Bedrock, SageMaker, Lambda, EC2, S3), Azure (OpenAI Service, AI Foundry, Functions), and GCP (Vertex AI, Cloud Run). Robust DevOps with Docker, Kubernetes, Terraform, CI/CD — built to scale with your SaaS product and survive real production traffic. ✓ Intelligent Multi-Agent & Agentic AI Systems — Designing coordinated multi-agent AI systems, autonomous RAG workflows, and AI-native SaaS applications that automate complex business processes, reduce operational overhead, and eliminate bottlenecks at scale. ✓ Big Data, Backend & Cloud Engineering — Processing massive datasets for AI workloads, building real-time prediction pipelines, and designing robust cloud architectures with strong DevOps practices — built to scale with your SaaS product from day one. Whether you're building a healthcare AI platform, fintech AI SaaS, RAG-powered knowledge base, AI Voice Agent, or an LLM-integrated MVP — I bring the full-stack AI expertise to take it from concept to production. My AI & Engineering Stack: 🔹 LLMs & APIs: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Mistral, LLaMA 3, Mixtral, Falcon, Gemma, Ollama 🔹 Voice & Telephony: LiveKit, Telnyx, Twilio, Deepgram, ElevenLabs, Whisper, OpenAI Realtime 🔹 AI Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, Haystack, Semantic Kernel 🔹 Vector Databases: Pinecone, Chroma, Qdrant, Weaviate, FAISS, Milvus, pgvector 🔹 Cloud AI: AWS Bedrock, SageMaker, Lambda · Azure OpenAI, AI Foundry · GCP Vertex AI 🔹 Backend: Python (FastAPI, Django, Flask), Node.js (Express, NestJS), PostgreSQL, MongoDB, Redis 🔹 Frontend: React, Next.js, TypeScript, Tailwind, Redux Toolkit, Vue, Nuxt 🔹 DevOps & Cloud: Docker, Kubernetes, Terraform, GitHub Actions, AWS, Azure, GCP, Vercel 🔹 Computer Vision & NLP: OpenCV, YOLO, Hugging Face Transformers, spaCy, custom fine-tuning 🔹 Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, Hugging Face Domains I build for: Healthcare AI · Fintech SaaS · Real Estate Voice Agents · Legal AI · E-commerce AI · RAG Knowledge Bases · AI Marketplaces · LLM MVPs · Customer Support Automation · Sales & Lead Qualification I don't disappear after kickoff. I respond fast, ask the right questions before writing code, ship working demos instead of status updates, and write production code that doesn't fall over the first time real traffic hits it. I'm comfortable working solo as the technical founder you don't have, or embedded in your existing engineering team. let's hop on a free consultation call to align on your AI architecture, RAG strategy, SaaS roadmap, and execution plan. Send me your project details and I'll tell you honestly whether I'm the right fit, what's realistic, and how fast we can ship.

🔥 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈'𝐯𝐞 𝐁𝐮𝐢𝐥𝐭 𝐈𝐧 ⚖️ LegalTech & Professional Services – Case management, secure document workflows, role-based access, compliance SaaS, backend systems optimized for production reliability. 🏥 Healthcare & MedTech – Patient platforms, telehealth dashboards, AR/AI tools, HIPAA-compliant data handling, production-grade clinical workflow automation. 📦 Logistics & Supply Chain – Real-time shipment tracking (sea/air/truck), multi-carrier integrations (Project44, EDI), customs interfaces, scalable backend pipelines. 🛒 Marketplaces & E-commerce – Multi-vendor flows, Stripe payments, bidding systems, complex search, high-volume catalogs, production-ready APIs and microservices. 🤖 AI-powered SaaS & LLM Integrations – OpenAI/LLM integrations, RAG pipelines, vector databases, AI-driven validation and content generation, production deployments with real-time reliability. 📝 No-code & Enterprise SaaS – Drag-and-drop form builders, admin panels, internal tools, multi-tenant systems, microservices designed for live, high-availability use. 🌐 Media, AdTech & Digital Publishing – Publisher platforms, CMS, payment gateways, interactive data visualizations, analytics pipelines running in production. 🏠 Real Estate & PropTech – Property listings, bidding/auction systems, agent dashboards, geospatial features, robust backend services in production. 💰 FinTech & Payments – Stripe Connect, subscription billing, invoicing, multi-currency handling, KYC workflows, production-ready payment integrations. 📚 EdTech & Training Platforms – Course delivery, student dashboards, progress tracking, live sessions, production systems with real-time performance guarantees. I am a highly skilled Full stack Developer specializing in production-ready backend systems, cloud infrastructure with Terraform, and API integrations with OAuth2 authentication. I focus on building scalable, reliable, and high-performance solutions that run seamlessly in production, handling real-world traffic and operational demands. With over 7 years of experience designing architectures that support massive user bases, I ensure systems are efficient, maintainable, and cost-optimized. ✔️ Specialized Expertise - Backend Development: Python, TypeScript, Java – production-ready microservices, RESTful and GraphQL APIs, database optimization. - Cloud Infrastructure (Terraform): AWS and GCP, Infrastructure as Code, scalable production environments, cost-efficient and highly available. - API Integration & OAuth2 Authentication: Secure OAuth2 flows, token management, consent handling, with integrations across Shopify, Stripe, TikTok, LinkedIn, Google, and more. ✔️ Strong Experience In - Scalable, Reliable Production Systems: Architecting high-traffic applications with fault tolerance and high availability. - Frontend Support: Ensuring smooth integration with backend services in production environments. - Collaboration & Consulting: Advising teams and founders on production-ready cloud architecture, backend design, and cost-effective strategies. ✔️ Primary Stack - Languages: Python, TypeScript, Java, Node.js - Frameworks & Tools: Microservices, REST/GraphQL APIs, OAuth2/JWT, Serverless Stack, Docker, Kubernetes, CI/CD pipelines - Cloud & DevOps: AWS (Lambda, S3, DynamoDB, API Gateway), GCP, Terraform, Infrastructure as Code, production deployment, cost optimization - Databases & Caching: SQL, NoSQL, Redis Cache - Integrations: Shopify, Stripe, Zoho, Rebound, Keap, murf.ai, play.ht, Cloud Convert, Instagram, TikTok, LinkedIn, Google, Mastodon - Version Control & CI/CD: Git, GitHub/GitLab workflows, automated production deployments ✔️ What You Get ✅ Production-ready, scalable backend systems with clean, maintainable code. ✅ Secure, seamless API integrations with OAuth2 flows handled end-to-end in production. ✅ Cloud infrastructure optimized for performance, reliability, and cost efficiency in live environments. ✅ Transparent progress updates and responsive collaboration. ✅ Expertise that ensures projects are delivered on time and maintain long-term stability in production. Message me or invite me for a quick call. Let’s discuss your backend, cloud, and API integration challenges, and bring your production systems to peak performance. Keywords: Production Backend Engineer, Fullstack Developer, API Integration Specialist, Python, TypeScript, Java, Node.js, Microservices, Distributed Systems, RESTful API, GraphQL, OAuth2, JWT, Secure API Development, AWS, GCP, Terraform, Infrastructure as Code, DevOps, CI/CD, Docker, Kubernetes, Serverless, Cloud Architecture, Production-Grade Systems, High Scalability, Database Optimization, SQL, NoSQL, Redis, WebSockets, Real-Time Systems, Event-Driven Systems, Shopify, Stripe, SaaS, CRM Integration

I am a New York–based data visualization developer, automations expert and AI engineer, combining my storytelling instincts and knowledge of information systems with deep technical expertise in data engineering, analytics, and testing and evaluation. React, D3, Python, and modern AI frameworks form the core of my toolkit, though I regularly leverage business intelligence platforms such as Looker and Tableau and low-code development tools like Retool when they are the right solution for the problem at hand. Throughout my career, I have built and supported full data ecosystems—from automated ingestion pipelines and data warehouse architectures to interactive visualization platforms and AI-powered retrieval systems. My experience spans Google Cloud, BigQuery, Looker, AWS, and Microsoft cloud environments, giving me a practical understanding of how organizations can structure their data infrastructure to support analytics, decision-making, and emerging AI capabilities. More recently, my work has expanded into applied AI and agentic systems. I have designed retrieval-augmented generation (RAG) architectures, semantic search pipelines, embedding-based document indexing systems, natural language interfaces for complex datasets, and orchestration layers that route user requests across specialized tools and data sources. This experience has given me a strong understanding of how large language models interact with enterprise data and how to build systems that deliver reliable, explainable results at scale. My expertise with building testing suites also positions me ideally to support robust AI-driven or deterministic automations. Using Retool, I have led the development of enterprise software and internal tooling for organizations including Wondery and TIDAL, while also supporting startups such as Ylopo and Innovation Refunds. What distinguishes my approach is the ability to select the perfect tool from among a portfolio of low-code, agentic and full-stack solutions. When projects require custom React components, advanced CSS, API integrations, AI-powered workflows, or specialized user experiences, I can bridge the gap between rapid application development and fully custom engineering solutions to create software that feels tailored to the organization's needs.