Hire the Best Distributed Computing Specialists

I am an entrepreneurial-minded engineer with a strong foundation in software development and over 8 years of programming and management experience. I have a track record of successfully delivering on a variety of Machine Learning and Computer Vision projects for clients ranging from startups to large international corporations. I am experienced in agile project management, and have a strong understanding of system architecture and the ability to break down complex projects into smaller tasks. I am always looking for new opportunities to make an impact, and am eager to continue learning and growing as a professional. -----------x-----------x-----------x-----------x-----------x----------- Expertise: ▪ Software Engineering and Programming: ✓ System architecture design; ✓ Linux and Embedded Systems; ✓ Cloud architecture (AWS strongest); ✓ Python (strongest), C/C++; ✓ Git and Docker; ✓ Databases (SQL and NoSQL), APIs and Message Brokers; ✓ Automated tests; ▪ Machine Learning & Data Science: ✓ Development, deployment and monitoring of ML models (full ML life cycle); ✓ AWS SageMaker (and other cloud services providers); ✓ Familiarity with relevant ML / DS libs. (TensorFlow, Keras, PyTorch, etc.); ✓ Neural Network tuning and optimization; ✓ Use of LLMs and VLMs (Visual-Language Models) via API and self hosted; ✓ Transfer Learning and Federated Learning (decentralized and collaborative model training); ✓ Dataset management and data-driven model development; ▪ Computer Vision: ✓ OpenCV; ✓ Convolutional Neural Networks (CNNs); ✓ Object Detection, Image Classification, Regression and Autoencoder; ▪ Agentic System (enthusiast experimenting on personal projects): ✓ MCP; ✓ Retrieval, tool calling and memory management for efficient context engineering; ✓ Observability (Langfuse);

Hi, I'm Fran 👋 I architect and ship production AI systems and cloud infrastructure that actually scale. → Architected & shipped a production AI copilot (agentic, RAG-grounded, human-in-the-loop) now serving customers → Sr DevOps running cloud infra for a NASDAQ-listed biotech, supporting Twist Bioscience (NASDAQ: TWST, $2B+) → Cut report generation time 50% at IBM ($150B+ market cap) with Python microservices → Cut cloud infrastructure costs 30% for a US biotech SaaS company using GCP rightsizing + autoscaling → 2× release velocity at a US biotech SaaS by streamlining CI/CD → Built recurring AI consulting from $0 to $1,500+/client serving LATAM tech professionals 8+ years building production systems that move real money 24/7. CKA + CKAD certified (Linux Foundation / Cloud Native Computing Foundation). 💼 What I do: → Cloud architecture (AWS, GCP, Azure) — Kubernetes, Terraform, ArgoCD → AI Agents, RAG & Automation — Claude / OpenAI, Python, production-grade → Infrastructure cost optimization — typical 25-40% savings → CI/CD pipeline acceleration — typical 3-5× speedup → Production systems on your existing stack (no rip-and-replace) 🎯 Best fit for: → B2B SaaS with infrastructure scaling challenges → Legal/professional firms needing AI document automation → Marketing agencies needing content automation systems → Teams needing senior engineering on fractional/project basis Stack: Kubernetes · Terraform · ArgoCD · AWS · GCP · Azure · Python · Go · Claude Code · GitHub Actions Let's chat 👇

Professional Bio: I'm a Full-Stack Developer with 2+ years of experience building scalable web applications, AI-powered systems, and enterprise software solutions. Currently working as a Full-Stack Developer at Stitch Digital Solutions, delivering CRM and AI-driven solutions for tailoring businesses across Thailand and Hong Kong. In addition to software development, I also work in the aviation industry as a Repair Executive at ST Engineering, gaining valuable experience in engineering operations and aviation maintenance environments. 🔹 Core Strengths: Backend development with Node.js (NestJS, Express, Koa, Bun) and Python (FastAPI, Flask) RESTful API design, database architecture, and performance optimization (PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch) Authentication & security: JWT, OAuth2, RBAC, access control systems Cloud & DevOps: Docker, Kubernetes, AWS, CI/CD, Terraform, Prometheus, Grafana Frontend development with React, Next.js, Flutter, and React Native Real-time systems using WebSocket, Kafka, RabbitMQ, and Redis Pub/Sub 🔹 What I'm Proud Of: Developed CRM and business management solutions serving tailoring companies across Thailand and Hong Kong Built OCR and AI-assisted document processing systems for extracting and normalizing customer measurement data Implemented email synchronization and marketing systems using SendGrid and Supabase Developed intelligent facial recognition attendance systems with anti-spoofing and AI verification Contributed to Smart Airport research projects featured by VnExpress and aviation technology initiatives Delivered multiple e-commerce platforms with payment gateways, livestreaming systems, and AI chatbot integrations Gained hands-on experience in aviation engineering operations through my role at ST Engineering, one of Asia's leading aerospace and engineering groups 🔹 Work Style & Mindset: I focus on building reliable, scalable, and maintainable software that solves real business problems. My expertise lies in backend architecture, system integration, AI-powered applications, and cloud infrastructure. Working in both software development and the aviation industry has strengthened my attention to detail, problem-solving skills, and ability to operate in high-reliability environments. I enjoy collaborating with international teams, optimizing system performance, and turning complex requirements into production-ready solutions. Tech Stack: Node.js, NestJS, Express, React, Next.js, Flutter, React Native, Python, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, AWS, Terraform, Kafka, RabbitMQ, Elasticsearch, Supabase, CI/CD.

Hi, I am a passionate technical architect who still does coding on a daily basis. Of course, I do AI-assisted development nowadays. Please find more of my technical skills below. Software architect/developer with over 25 years of experience and expertise in multiple technologies. I am a leading AI engineer. I conduct classes for experienced software engineers on the subject "Internals of Artificial Intelligence" to get an understanding of "How modern AI is built from the ground up". Experience in designing and implementing distributed computing. Experienced lead developer. Excellent reputation for designing and implementing products from scratch. Experience in working with legacy code, where no documentation is available. Write clean, manageable code. Build scalable, secure, and performance-oriented architecture. Do code reviews. Expertise with the following programming languages/technologies, including but not limited to: Go, Rust, C, C++, Python, Java, C#, Node.js, Express, HTML5, CSS3, JavaScript, TypeScript, Vue.js, RESTful APIs, Cassandra, PostgreSQL, MySQL, Redis, gRPC, Bash, Ansible, Virtualization, KVM/QEMU, libvirt, TCP/IP, Network Programming, Docker, Kubernetes, and AWS (EC2, S3, SNS, SQS, Lambda). In-depth understanding of data structures and algorithms. Worked on complex projects in various application domains. Keen on the performance of the solution. I care about the quality of the product from multiple perspectives, including the quality of the source code and documentation. Excellent reputation for resolving problems and improving customer satisfaction. Sincerely, Arafath M

Need a full-stack developer who can take your web or mobile app from idea to production? I design and build scalable applications using .Net, React, Node.js, and AWS, backed by 18+ years of hands-on architecture experience. Unlike developers who specialize narrowly, I bridge front-end, back-end, mobile, and cloud infrastructure in one skill set. I've architected systems across healthcare, hospitality, staffing, and e-commerce, so I can design solutions that scale from day one instead of needing a rebuild later. Here's how I can help you: 🔹 Build full-stack web applications with React, Angular, or Vue on the front end and Node.js, .NET, or Django on the back end 🔹 Develop native Android and cross-platform Flutter/React Native mobile apps 🔹 Architect and deploy cloud infrastructure on AWS (EC2, RDS, S3, Lambda) and Azure 🔹 Integrate AI/Generative AI features into existing products 🔹 Design databases across SQL Server, PostgreSQL, MySQL, MongoDB, and DynamoDB I hold Microsoft certifications in HTML5/JavaScript/CSS3 and am a Microsoft Certified Professional, plus MongoDB University's Node.js certification. My work spans 17+ delivered projects, from EMR systems for dermatology clinics to AI-powered chatbots for customer support. Ready to discuss your project? Send me a message with your requirements and I'll respond within a day with a clear plan and timeline.

I build AI and IoT systems that survive contact with production - in hospitals, on industrial sites, and inside enterprise data platforms. Clients hire me when a prototype has to become something clinicians, operators, and auditors can actually rely on. I do the architecture and the implementation. There is no handoff between the person who designs the system and the person who has to make it work at 2am. CURRENT WORK • Sental IQ - hospital-deployed healthcare IoT and vitals platform Deployed at Gold Coast University Hospital in Australia. I designed the full path from device to clinical record: an on-premises edge gateway (Docker, Mosquitto MQTT, Telegraf, HTTPS and TCP adapters) collecting from mmWave fall-detection sensors, time-of-flight people counters, air-quality units and clinical wearables; a real-time vitals pipeline moving blood pressure and biometric data through webhook push instead of polling; and an AWS backend with FHIR R4 as the clinical system of record and InfluxDB as the derived time-series layer. The models were never the hard part. The hard part was device classification across LoRaWAN, PoE and vendor-cloud connectivity, distinguishing patients from staff in top-down ToF heatmaps, and making every reading traceable enough for a clinician to trust. • Medical Equipment Finder - AI discovery and decision platform Build for a US medical equipment refurbisher: an AI system that helps buyers find and evaluate equipment, with retrieval grounded in real inventory and specifications rather than model guesswork. SELECTED EXPERIENCE • Built an industrial IoT telemetry pipeline ingesting 70,000 tags from Azure IoT Hub through Event Grid, Stream Analytics and Data Lake for Ashghal Authority Qatar (a national infrastructure authority) - 20% improvement in ingestion efficiency. • Developed a generative AI platform for ad-hoc data analysis in natural language. Ran a POC across multiple LLMs (Olama, Hugging Face, Kimi, DeepSeek, etc) before selecting OpenAI, improving query understanding by 60%. • Delivered 88%-accurate forecasting on IoT and business data using AutoML and scikit-learn, served through a Python/Flask and Azure architecture. • Built an AI medical record summarizer end to end for a US healthcare client using Agentic RAG. • Advised a client team from GMC Motors UAE on Databricks AI agent architecture. • Founded myNtropy, a B2B SaaS that turns LinkedIn networks into structured intelligence: FastAPI on Azure, React, Azure SQL, OAuth 2.0, Stripe, GPT-based enrichment, CI/CD on GitHub Actions. Built solo, end to end. STACK • Machine Learning - time-series forecasting, classification, clustering, anomaly detection, feature engineering, AutoML, model evaluation and hyperparameter tuning (scikit-learn, XGBoost, pandas, NumPy, Azure ML) • Deep Learning - CNNs for image and sensor-frame analysis, RNNs and LSTMs for sequence and telemetry data, transformer architectures and attention mechanisms • LLM Systems - RAG pipelines, agent architectures, tool use and MCP, prompt and context engineering, evaluation harnesses and hallucination guardrails (OpenAI, Claude, vector databases) • Azure - IoT Hub, IoT Edge, Data Factory, Machine Learning, Data Lake Gen2, Functions • AWS - IoT Core, Lambda, S3 • Data & Streaming - InfluxDB, Neo4j, Grafana, Databricks, Event Grid, Stream Analytics, MQTT, Kepware OPC, FHIR R4, SQL • Engineering - Python, FastAPI, Flask, Node.js, React, Supabase, Docker, GitHub Actions, Next,js HOW I WORK I start with the workflow and the cost of failure, not with a model or a vendor. I ask what evidence the system has to produce and who has to trust it, then design backwards from there. When an AI answer can be confidently wrong, I build the checks that catch it before a user sees it. I am comfortable owning the whole path from discovery to production, or embedding with an existing team to solve the specific architecture, integration or reliability problem that's blocking them. Every rated contract I have delivered on Upwork is 5.0. What clients flag most often is communication, reliability and accountability. One put it simply: "delivered high quality work and demonstrated strong accountability." I hold a BS in Data Science from FAST-NUCES, Pakistan, and run DATXOC, my own engineering practice. If you have an AI or IoT system that has to work in the real world, tell me what breaks today and I'll tell you honestly whether I'm the right person for it.