Senior Software Engineer & Architect | 12+ Years | Top 1% Upwork | Expert Vetted 12+ years building backend systems and full-stack products for startups and enterprises. Top 1% Upwork freelancer, Expert Vetted. I solve complex technical challenges: $18M/year saved for Time Doctor, 8M+ users scaled at Zenius, 40+ provider integrations for Wego. I focus on scalable architecture, modern stack, and on-time delivery. What I bring to your project • Modern backend: Node.js/TypeScript, Nest.js, Go/Gin, Java/Spring Boot — microservice architecture, event-driven design, serverless (AWS Lambda, GCP), gRPC, message queues (NATS, Kafka, Redis Pub/Sub), parallel/concurrent processing. • Scalable data: PostgreSQL, MongoDB, Elasticsearch, Redis; ETL, time-series, analytics; database tuning, sharding, caching, parallel queries. • Cloud & DevOps: AWS, GCP, Digital Ocean; Docker, Kubernetes, Terraform; CI/CD; monitoring (Datadog, Sentry). • AI & automation: LLM integrations (OpenRouter), AI-assisted tooling (Cursor, CodeRabbit), custom AI agents and RAGs, workflow automation (n8n), ML/TensorFlow, voice-driven systems (Google AI Services). • Frontend: React, Angular, Vue; TypeScript, Redux, real-time (WebSockets, SocketIO, SSE); responsive and PWA-ready UIs. • Payments & integrations: Payment gateways (Stripe, Paddle, MangoPay, Upvest), third-party APIs, webhooks, and secure auth (OAuth2, JWT). • Multi-tenant & complex B2B systems: Tenant isolation, row-level security, RBAC, and strict data segregation per tenant; designed and delivered multi-tenant platforms (e.g. ticketing, fleet/ops, SaaS) with role-based access, real-time sync, and per-tenant visibility, so different orgs or depots get the right data and permissions. • Enterprise & compliance: GDPR, HIPAA, SOC 2, ISO 27001; enterprise security, encryption, audit trails, multi-region deployments. • Leadership & project management: Leading teams, converting business to technical requirements, architecture decisions, code reviews, agile methodologies, technical documentation. Proven outcomes • Time Doctor (USA): Legacy payment migration to Paddle; Nest.js microservices, GCP, Pub/Sub; $18M/year saved, 9-month delivery, 24/7 monitoring. • Zenius (Indonesia): LMS and infra for 8M+ users; Kafka, GraphQL, Neo4j, sharding and caching; new revenue stream (Zencore). • Wego (Dubai/Malaysia): Hotel metasearch; 40+ providers, ETL, WebSockets, gRPC, NATS; real-time pricing and search. • Exporo (Germany): Fiat + crypto payment; FSM (XState), RxJS, AWS serverless. • BRTC (Bangladesh): Multi-tenant ticketing; Nest.js, React admin, Android POS, real-time sync. • Accordium (Malaysia/Denmark): First SaaS version; React, Java/Spring Boot, CQRS; helped secure Series B funding. • Movingwalls (Malaysia): First DOOH booking platform; IoT data pipeline, real-time analytics, D3.js. • BigWIFI (Canada): Customer engagement platform; Nest.js, real-time diagnostics, live IT support marketplace. • Suprema/Biostar 2 (South Korea): Performance optimization; 1TB+ time-series data migration, Node.js refactoring, Karate test automation. • CapitakDK (Malaysia): Voice-driven AI system for Oil & Gas; Google AI Services, ML, GraphQL. I focus on clean architecture, event-driven and microservice patterns, and production-grade observability. I’ve led and mentored engineers, written technical docs, and delivered for clients in the USA, Europe, and Asia. Delivering on time and leaving a maintainable codebase is how I work. Why clients choose me • Results-driven: I focus on outcomes, not just code. Every project delivers measurable business impact. • On-time delivery: I've never missed a deadline. I communicate clearly, set expectations, and deliver what I promise. • Clean code: I write maintainable, well-documented code following best practices. Your team can take over seamlessly. • Scalable architecture: I design systems that grow with your business. Microservices, event-driven patterns, proper database design. • Full ownership: I handle backend, integrations, infrastructure, and documentation. I mentor teams and write technical docs. • Global experience: Worked with clients across USA, Europe, and Asia. Comfortable with remote collaboration and different time zones. Tech snapshot Languages: TypeScript/JavaScript, Go, Java, Python, PHP | Backend: Nest.js, Express, Spring Boot, Gin | GraphQL, REST, gRPC Data: PostgreSQL, MongoDB, Elasticsearch, Redis, Neo4j, DynamoDB | Cloud: AWS, GCP, Digital Ocean DevOps: Docker, Kubernetes, Terraform, CI/CD, Datadog | Real-time: WebSockets, SocketIO, SSE, MQTT AI/ML: OpenRouter, Cursor, CodeRabbit, custom AI agents, RAGs, n8n, TensorFlow | Architecture: DrawIO, Lucidchart, PlantUML, Mermaid, C4 Model Project Management: Jira, Trello, Asana, Linear, Notion | Other: Kong, OAuth2, JWT, IoT, blockchain, React Native Let’s build something that scales and ships.

I help enterprises accelerate their data and AI transformation strategies. I specialize in building AI and data teams and implementing learning programs focused on disruptive technologies, enabling businesses to leverage advanced data analytics and AI for innovation and growth. ■ Skills and Expertise 1. Machine Learning & Analytics: 🔹 Programming & Tools: Python, R Programming, Power BI, Tableau, KNIME, Google AutoML, AWS, Sagemaker, Azure ML Studio 🔹 Technologies: Artificial Intelligence, Data Analytics, Time Series Forecasting, Deep Learning, Neural Networks, Azure Machine Learning, AWS, Hadoop, Kafka 🔹 Data Visualization & Reporting: Advanced dashboarding and reporting using MS Excel, Power BI, Tableau 2. Data Engineering: 🔹 Cloud Platforms: Azure, AWS, GCP 🔹 Big Data Technologies: Hadoop, Spark, Databricks, Snowflake, Redshift 🔹 Data Management: Data Cleaning, Data Governance, ETL processes, Data Lakes 🔹 Programming & Tools: Python, SQL, AWS Glue, Azure Data Factory, Informatica 3. Generative AI: 🔹 Expertise: GPT, LangChain, Hugging Face, OpenAI, Vertex AI, Gemini 🔹 Tools & Platforms: Azure OpenAI, Google Vertex AI, LLMs, Diffusion Models ■ How I Can Help: 1. Consulting: I create tech solutions for enterprise challenges. 2. Mentorship: I guide data teams on analytics and AI projects. 3. Training: I teach Advanced Analytics, Automation, and AI. 4. Solutioning: I build analytics and AI solutions. ■ Professional Experience: ➢ McKinsey & Company: Led ML, analytics, and cloud projects, deploying AI models for client success. ➢ TATA Communication: Boosted data science capabilities, integrating AI into platforms. ➢ Mindtree Limited: Trained teams in ML, DL, computer vision, and NLP using Azure services. ➢ Senior Consultant: Delivered predictive maintenance, smart city solutions, and AI strategies. ■ Notable Projects: ➢ Scrap Dashboard: Cut tire manufacturing scrap costs by 3 Cr INR annually. ➢ Steam Idling Dashboard: Monitored steam consumption in curing presses. ➢ Telecom Network Prediction: Enhanced customer experience through real-time failure prediction. ➢ IoT Edge Computing: Deployed AWS GreenGrass for smart city initiatives. ➢ Banking Chatbot & RPA: Automated internal ops and improved customer service. ■ Client List: Worked with leading companies such as NTPC, Adani Port, ITC, MindTree, PWC, L&T Technologies, TATA Communication, John Deere, Capgemini, Royal Enfield, Daimler - Mercedes-Benz, Motherson Sumi Systems Limited, DHL Malaysia, Huawei, UST Global, HSBC, CGI, Harman, North-Shore, HCL, Hexaware, ANZ, Redbus, AVAYA, APU – Malaysia, NIIT – Nigeria, among others. Ultimately my experience in data science and AI can help drive transformation strategies, mentor teams, and deliver innovative solutions. Ready to transform your business? Let’s connect! See you soon! 👋

✅ 𝙏𝙊𝙋 𝙍𝙖𝙩𝙚𝙙 𝘿𝙚𝙫𝙊𝙥𝙨 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 | ✅ 𝟱-𝙎𝙩𝙖𝙧 𝙍𝙚𝙫𝙞𝙚𝙬𝙨 | ✅ 𝟳+ 𝙔𝙚𝙖𝙧𝙨 𝙤𝙛 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 I’m a passionate AWS DevOps & AI-Powered Data Engineer with hands-on experience architecting, automating, and optimizing mission-critical cloud solutions. I specialize in serverless AI integration using AWS Bedrock and designing intelligent workflows that scale. 𝙄 𝙝𝙖𝙫𝙚 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙞𝙣 𝙩𝙝𝙚 𝙛𝙤𝙡𝙡𝙤𝙬𝙞𝙣𝙜 𝙖𝙧𝙚𝙖𝙨, 𝙩𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙩𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨: 🧠 𝘼𝙄 & 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙬𝙞𝙩𝙝 𝘼𝙒𝙎 𝘽𝙚𝙙𝙧𝙤𝙘𝙠 ► Integrated LLMs (Claude, Mistral, Titan) into serverless applications using AWS Bedrock + Lambda + Step Functions ► Designed prompt orchestration pipelines for data enrichment, customer support, and automated insights ► Built secure, scalable AI workflows for multi-tenant environments ☁️ 𝘾𝙇𝙊𝙐𝘿 𝙄𝙉𝙁𝙍𝘼𝙎𝙏𝙍𝙐𝘾𝙏𝙐𝙍𝙀 ► AWS: EC2, S3, RDS, ECS, EKS, ECR, Lambda, IAM, VPC, Route53, CloudTrail, KMS, CloudWatch, Redshift, DynamoDB, Glue, Athena, Step Functions, Bedrock ► Azure: Data Factory, Blob Storage, Cosmos DB, Azure DevOps 🗄️ 𝘿𝘼𝙏𝘼𝘽𝘼𝙎𝙀𝙎 ► SQL | NoSQL | MySQL | PostgreSQL | SQL Server | MongoDB | Redis | DynamoDB | ElasticCache 🚀 𝘾𝙄/𝘾𝘿 & 𝘼𝙐𝙏𝙊𝙈𝘼𝙏𝙄𝙊𝙉 ► Jenkins | AWS CodePipeline, CodeBuild, CodeDeploy | GitHub Actions | Terraform | CloudFormation 🔐 𝙄𝘿𝙀𝙉𝙏𝙄𝙏𝙔 & 𝙎𝙀𝘾𝙐𝙍𝙄𝙏𝙔 ► AWS IAM Identity Center (SSO) | AWS Cognito | Okta | AWS WAF | Network Firewall 🧩 𝘽𝙄𝙂 𝘿𝘼𝙏𝘼 & 𝘿𝘼𝙏𝘼 𝙀𝙉𝙂𝙄𝙉𝙀𝙀𝙍𝙄𝙉𝙂 ► Apache Spark | Hadoop | EMR | Kinesis | Data Lakes | Glue ETL | Airflow | Athena 📊 𝘽𝙄 & 𝙈𝙊𝙉𝙄𝙏𝙊𝙍𝙄𝙉𝙂 ► Power BI | Tableau | Superset | Grafana | SSMS 🛠️ 𝙏𝙊𝙊𝙇𝙎 & 𝙇𝘼𝙉𝙂𝙐𝘼𝙂𝙀𝙎 ► Python | Docker | Kubernetes | Bash | Ansible | REST APIs | JSON | YAML 🧪 𝙎𝙤𝙢𝙚 𝙤𝙛 𝙢𝙮 𝙢𝙖𝙟𝙤𝙧 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙞𝙣𝙘𝙡𝙪𝙙𝙚𝙙 ► Built AI-powered data enrichment workflows using AWS Bedrock + Lambda. ► Designed, implemented the entire software deployment system, system security and data assurance of company on both Cloud and Premise. ► Architected fully automated CI/CD pipelines for containerize applications. ► Administered infrastructure and back-end developer for a VPN system with 300+ servers. ► Designed, implemented and operated a Data Platform to centralize all company data ► Designed scalable Data Lake solutions with EMR + Glue + Athena ► Implemented centralized identity access via AWS SSO (IAM Identity Center) ► Automated AWS Route53, DNS, and Glue deployment for 50+ microservices 💬 𝙄 𝙗𝙧𝙞𝙣𝙜 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙩𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙨𝙠𝙞𝙡𝙡𝙨 𝙗𝙪𝙩 𝙖 𝙘𝙤𝙢𝙢𝙞𝙩𝙢𝙚𝙣𝙩 𝙩𝙤 𝙥𝙧𝙚𝙘𝙞𝙨𝙞𝙤𝙣, 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚𝙣𝙚𝙨𝙨, 𝙖𝙣𝙙 𝙘𝙡𝙖𝙧𝙞𝙩𝙮. Whether you're looking to launch a new AI feature, optimize your DevOps pipelines, or need a reliable Linux system engineer to manage your infrastructure—I’m ready to help. 𝙇𝙚𝙩’𝙨 𝙢𝙖𝙠𝙚 𝙮𝙤𝙪𝙧 𝙞𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙨𝙢𝙖𝙧𝙩𝙚𝙧, 𝙛𝙖𝙨𝙩𝙚𝙧, 𝙖𝙣𝙙 𝙛𝙪𝙩𝙪𝙧𝙚-𝙧𝙚𝙖𝙙𝙮. Available for long-term or short-term contracts!

With an MS in Data Science and 7+ years of industry experience, I architect end-to-end data solutions that bridge the gap between theoretical innovation and practical business impact. Core Competencies 🎯 Data Science Leadership 📊 Orchestrate sophisticated data pipelines from extraction to deployment, leveraging advanced statistical methods and machine learning algorithms Drive business decisions through predictive modeling and deep learning implementations using PyTorch, TensorFlow, and scikit-learn Pioneer automated A/B testing frameworks that accelerate decision-making cycles Analytics & Visualization 📈 Craft compelling data narratives through interactive dashboards using Power BI, Tableau, and custom Python visualizations Design real-time monitoring solutions with Google Data Studio and Klipfolio Implement advanced time series forecasting using LSTM, GRU, and ARIMA models Technical Arsenal ⚡ Cloud & Infrastructure ☁️ Azure: Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Stream Analytics, Azure Functions, Azure DevOps, Azure Cosmos DB AWS: Amazon EMR, AWS Glue, Amazon Redshift, Amazon S3, Amazon Athena, AWS Lambda, Amazon QuickSight, Amazon SageMaker, DynamoDB GCP: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Cloud Functions Data Processing & Storage 🔄 Big Data: Apache Spark, Hadoop, Hive, Delta Lake, Databricks Databases: PostgreSQL, MongoDB, Cassandra, Redis, Snowflake Stream Processing: Apache Kafka, Apache Flink, Apache NiFi Data Quality: Great Expectations, dbt, Apache Griffin Machine Learning & AI 🤖 Frameworks: PyTorch, TensorFlow, scikit-learn, Keras, XGBoost, LightGBM MLOps: MLflow, Kubeflow, DVC, Weights & Biases Experimentation: A/B Testing, Multi-armed Bandits AutoML: H2O.ai, AutoKeras, TPOT Development & DevOps 🛠️ Containerization: Docker, Kubernetes CI/CD: Jenkins, GitHub Actions, GitLab CI IaC: Terraform, Ansible, CloudFormation Monitoring: Prometheus, Grafana, ELK Stack Analytics & BI 📊 Visualization: Power BI, Tableau, Looker, QuickSight, Qlik Sense Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly SQL: Advanced SQL, Window Functions, Performance Tuning Notebooks: Jupyter, Databricks Notebooks, Google Colab Signature Achievements 🏆 Reduced data processing time by 60% through optimized ETL pipelines and distributed computing Implemented ML models achieving 85%+ accuracy in predictive maintenance Architected scalable data warehouses handling 10TB+ of structured and unstructured data 📫 Open to collaborations and innovative data projects 🌟 Azure Certified: DP-203 Data Engineer Associate 🏅 Azure Certified: DP-900 Azure Data Fundamentals #DataScience #MachineLearning #Azure #AWS #Python #DeepLearning #ETL #DataEngineering #BigData #AI #DataVisualization #NLP #TimeSeries #CloudComputing #DataArchitecture #DataAnalytics #BusinessIntelligence #PredictiveAnalytics #DataPipelines #DataModeling #Databricks #Snowflake #MLOps #DevOps #Kubernetes #Terraform #ApacheSpark #DataLake #DataWarehouse #StreamProcessing

With over a decade of experience delivering software for Silicon Valley Giants (😎Apple, Meta😎) and fast-moving startups, I bridge the gap between complex engineering and business goals. I am a Senior Software Architect and Technical Leader specializing in scalable full‑stack systems, GenAI integrations, ML platforms, and cloud architecture. I don’t just write code; I build systems that save money, scale reliably, and drive acquisitions. My Track Record: - Ex‑Apple (5 years): Architected a supply chain asset management platform that saved the company hundreds of millions of dollars in preventable errors. - Startup Exit: Built critical Web3 infrastructure for Mint Songs, unblocking their MVP and leading to an acquisition by Napster within one year. - AI Leadership: Led a team of 13 at Hyperlink to launch a multimodal GenAI platform featured at SXSW, integrating StableDiffusion, Whisper, and LLMs. - Ex‑Meta (Facebook): Owned the web client for global data center management tools. How I Can Help You: Whether you need a fractional CTO to design your architecture, a Lead Developer to ship your MVP, or an AI/ML specialist to integrate LLMs into your product, I bring deep technical expertise with clear, solution‑oriented communication. Expanded Technical Skill Set: AI/ML: Deep Learning (TensorFlow, PyTorch, Keras), Machine Learning (Scikit‑learn, Spark ML), Computer Vision (OpenCV), NLP (LangChain, Hugging Face, BERT, SentenceTransformers), Generative AI (LLMs, GANs) LLMs & Agents: GPT, LLaMA, Mistral, RAG systems, Autonomous Agents, ReAct framework, LangChain Vector & Graph Databases: Pinecone, Milvus, Neo4j Cloud Platforms: AWS (Bedrock, SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery), Azure (Databricks) Big Data: Spark (PySpark), Kafka, Databricks, Hadoop Full‑Stack: ReactJS, Next.js, React Native, Node.js, Python, JavaScript/TypeScript, VueJS, Tailwind Backend: Python (Django/Flask), Java (Spring), GraphQL, Rails Databases: PostgreSQL, Redis, MongoDB, Supabase DevOps & Infra: Docker, Kubernetes, Terraform, CI/CD pipelines, Git, Vercel, GCP, AWS Web3: Solidity, Smart Contract Integration, IPFS APIs: OpenAI, Robinhood, Reddit, X (Twitter), Stripe, SocketIO Languages: Python, JavaScript/TypeScript, Java, R, C/C++, SQL Tools: MLFlow, Weights & Biases, Jira, Confluence I thrive in environments that demand technical excellence, rapid execution, and clear communication. If you want to build something scalable, intelligent, and future‑proof, let's work together.

🔥AI Engineer & Full-Stack Developer (Python/Django) | RAG, ChatGPT Apps, Chatbot development, SaaS, Automation | 15+ Years Experience I help startups and enterprises build AI-powered software, scalable SaaS platforms, and automation systems using Python, Django, React, and GPT-based LLMs. If you're looking to launch an MVP, integrate AI, automate workflows, or upgrade your product — I deliver fast, clean, and scalable solutions. ⭐ What I Can Build for You 1. AI & LLM Development Custom ChatGPT/LLM applications RAG (Retrieval-Augmented Generation) systems for document Q&A AI chatbots for support, onboarding, lead qualification Automation agents for workflows & internal tools Embeddings, vector databases (FAISS, Pinecone, ChromaDB) 2. Backend Engineering (Python/Django/Flask) SaaS applications (multi-tenant, subscription billing, admin dashboards) REST & GraphQL APIs Third-party integrations (Stripe, HubSpot, OpenAI, etc.) Microservices architectures 3. Frontend Development (React.js) Dashboards, admin portals, user interfaces Component libraries: Material UI, Bootstrap, Tailwind AI-enhanced UX elements (chat widgets, smart inputs) 4. DevOps & Cloud (AWS Focus) EC2, S3, RDS, Lambda, CloudWatch Docker, Kubernetes CI/CD (GitHub Actions, Jenkins) Secure, scalable deployment pipelines 💡 Why Clients Choose Me ✔ 15+ years of experience in software engineering ✔ AI + Full-Stack hybrid skillset — no need to hire multiple developers ✔ Rapid MVP delivery in 4–6 weeks ✔ Clear communication & structured milestone planning ✔ Ability to turn high-level ideas into working production systems 📊 Results I’ve Delivered Built a RAG-based enterprise search engine → cut research time by 70% Created AI chatbot workflows → automated 50% of support tickets Delivered SaaS MVPs with billing & dashboards → launched in under 6 weeks Automated data pipelines → saved over $20k/year in manual labor Migrated legacy apps to AWS → improved reliability and scalability 🚀 Let’s Build Your AI or SaaS Solution Whether you need an MVP, a production-ready AI feature, or full-stack development with cloud integration, I’ll help you deliver fast, scalable, and high-quality results. Send me a message and let’s discuss your project.

Hi, I’m a Systems Engineer with experience supporting a wide range of infrastructure, platforms, and environments. I work across Windows and Linux systems, and I’m comfortable jumping into both ongoing support and full project builds—from troubleshooting and upgrades to planning, automation, and long-term stability improvements. I can assist with virtualization and hypervisors including Proxmox, VMware vSphere/ESXi, and Hyper-V, along with storage and system performance. I also have experience working with Synology NAS environments, including shares, backups, permissions, and integrating NAS storage into on-prem and virtualized setups. I’m experienced with containers (Docker and container-based deployments), cloud environments like AWS and Azure, and building practical automation using Ansible, including AWX and Tower, to reduce manual work and keep infrastructure consistent. I’m also familiar with common web and backend infrastructure such as Apache, MySQL, Redis, and WordPress, whether hosted on-prem or in the cloud. If you need help with ML/AI tasks I can also be of service. I can help you use openclaw, n8n, ollama,vllm, llm studio, gpu management, bittensor, and more. My goal is to understand your technical objectives clearly, communicate throughout the project, and deliver a solution that’s stable, secure, and easy to maintain. I have a flexible schedule and strong soft skills, so projects stay organized and moving in the right direction. Feel free to reach out if you’d like to discuss your project. Thanks! Roger

𝗧𝗵𝗲𝗿𝗲'𝘀 𝗻𝗼 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲 𝗼𝗳 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀. 𝗧𝗵𝗲𝗿𝗲'𝘀 𝗮 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲 𝗼𝗳 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗵𝗼 𝗰𝗮𝗻 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝘄𝗵𝗮𝘁'𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝘁𝗵 𝘆𝗼𝘂𝗿 𝘁𝗶𝗺𝗲 — 𝗮𝗻𝗱 𝘁𝗵𝗲𝗻 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁. I build automation for every stage of the problem — from a single spreadsheet eating up your morning, to connected workflows, to full AI systems making thousands of decisions a day without anyone touching them. I build across the full stack — data engineering, backend, frontend, and AI — and I've been doing it long enough to know the difference between something that looks good in a demo and something your team can actually trust on a Monday morning. Not every problem needs a full AI system. Some clients come with one thing: a spreadsheet that takes too long, a report someone builds manually every week, one repetitive task eating up an hour a day. That's a fine place to start. I'll meet you where you are, tackle what matters most first, and only go bigger if it makes sense. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 ✅ Built a Google Sheets + Apps Script system that auto-generates weekly reports from BigQuery — replaced a full day of manual work ✅ Built an AI system that categorizes 20,000+ search terms in under 5 minutes and automatically sends the report to your inbox — previously took a team hours ✅ Built workflow automation handling thousands of routing decisions per day, so the team only touches exceptions ✅ Connected a custom AI Assistant to Asana, BigQuery, and Google Drive to generate full monthly client reports — days of work reduced to minutes 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 I'll tell you upfront what the right solution is — sometimes that's a Google Sheet formula, sometimes it's a Python script, sometimes it's AI. Fixed scope, no surprise bills. If you do a diagnostic and it's not actionable, full refund, no questions. The person you talk to is the person who builds it. No account manager handoff, no junior dev doing the actual work. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 🔹 Google Apps Script & Workspace automation (Sheets, Docs, Gmail, Drive) 🔹 AppSheet apps — no-code/low-code tools your team actually uses 🔹 Data pipelines, SQL, and reporting (BigQuery, PostgreSQL, ETL) 🔹 Python scripts and backend systems (FastAPI, Node.js) 🔹 API integrations and workflow automation 🔹 Dashboards and internal tools (React, web apps) 🔹 Web scraping and data extraction 🔹 AI agents and intelligent automation — when it's actually the right fit 𝗣𝗵.𝗗. 𝗶𝗻 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀. 𝗙𝗼𝗿𝗺𝗲𝗿 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿. I've taught calculus to college freshmen — if I can make that click, you're in good hands. 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 Python, FastAPI, JavaScript/TypeScript, React, Node.js SQL, BigQuery, PostgreSQL, Cloud SQL GCP: Cloud Run, Pub/Sub, GKE Google Workspace: Apps Script, AppSheet, Sheets, Docs, Gmail, Drive LLMs: OpenAI, Claude, Gemini | Vector DBs: Pinecone, Chroma Web scraping: Playwright, BeautifulSoup, Scrapy

A Cloud Reliability, DevOps & SRE Platform Expert with 20+ years building secure, scalable, high-availability platforms for enterprise and high-growth startups. I specialize in Kubernetes, GitOps, cloud networking, observability, automation, and security engineering across AWS, GCP, Azure, and hybrid datacenters. I design, build, and fix complex infrastructure fast including Linux K8s N8N clusters, CI/CD pipelines, multi-cloud networking, service meshes, monitoring, and zero-drift GitOps. My background spans fintech, SaaS, adtech, and large-scale data systems (Cisco, Emodo, Altruist, GreenDot). 🔧 Deep AI, ML Expertise & Tech Stacks ✅ EKS, AKS, GKE, RKE2, K3s, OpenShift ✅ vCluster, Loft, multi-tenant clusters, test environments ✅ Cluster API (CAPI), kubeadm, automated cluster lifecycle ✅ Cilium, Calico, CNI tuning, network policies, eBPF ✅ Istio, Linkerd, Envoy, Ingress controllers, L7 routing ✅ Helm, Kustomize, Jsonnet, chart optimization ✅ Argo CD, FluxCD, GitOps pipelines + multi-cluster sync ✅ Horizontal/Vertical autoscaling, Karpenter, Cluster Autoscaler ✅ GPU clusters, A100/MI300 scheduling, multi-GPU workloads ✅ StatefulSets, Operators, CRDs, advanced workloads ✅ Kubernetes security hardening, Pod Security Standards, OPA/Gatekeeper 💻 Backend Engineering & APIs ✅ Go, Python, Node.js, Java, Rust, C/C++ ✅ RESTful APIs, GraphQL, gRPC, WebSockets ✅ Microservices architecture, domain-driven design ✅ Event-driven systems, CQRS, saga patterns ✅ FastAPI, Flask, Django, Express, Wordpress, Echo ✅ Message queues: Kafka, RabbitMQ, SQS ✅ ORM/query builders: SQLAlchemy, Prisma, GORM, TypeORM ✅ Authentication: OAuth2, OIDC, JWT, SAML, mTLS ✅ API gateways, rate limiting, circuit breakers 🎨 Frontend Development ✅ React, Vue, Angular, Svelte, Solid ✅ TypeScript, JavaScript (ES6+), HTML5, CSS3 ✅ Next.js, Nuxt, Remix, Astro, Vite ✅ State management: Redux, Zustand, Pinia, MobX ✅ Tailwind CSS, Styled Components, SCSS, CSS Modules ✅ Component libraries, design systems, Storybook ✅ Responsive design, accessibility (WCAG), i18n ✅ Testing: Jest, Vitest, Playwright, Cypress 🔗 Full-Stack & Application Architecture ⚙️ Monorepos: Nx, Turborepo, Lerna ⚙️ API design, OpenAPI/Swagger, versioning strategies ⚙️ Database design, migrations, schema management ⚙️ Caching strategies: Redis, Memcached, CDN edge caching ⚙️ Real-time systems: WebSockets, SSE, Socket io ⚙️ Background jobs, task queues, scheduled workers 🛠️ Developer Tooling & CLIs ⚙️ CLI development in Go, Python, Rust, Node.js ⚙️ SDK design, client libraries, developer experience ⚙️ Linting, formatting, pre-commit hooks, code quality CI/CD, Automation & Internal Developer Platforms ⚙️ GitHub Actions, GitLab CI, Jenkins, Argo Workflows ⚙️ Terraform, Pulumi, Ansible, Packer ⚙️ API automation, Python, Go, Bash, NodeJS tooling ⚙️ Golden AMIs, image pipelines, artifact promotion ⚙️ Release automation, blue/green, canary, progressive delivery ⚙️ Self-service developer platforms, environment provisioning Cloud Infrastructure (AWS, GCP, Azure) ☁️ AWS: VPC, TGW, BGP, ALB/NLB, PrivateLink, WAF, Shield ☁️ IAM, KMS, Organizations, SCPs, Control Tower ☁️ S3, CloudFront, Lambda, API Gateway, RDS, Aurora, DynamoDB ☁️ Azure networking/IAM/AKS, GCP networking/IAM/GKE ☁️ Hybrid cloud automation, colocation, bare-metal provisioning ☁️ PXE/iPXE netbooting, remote OS deployment ☁️ AMD GPU datacenter clusters (MI210, MI250, MI300) Security, DevSecOps & Compliance 🛡️ PCI-DSS, SOC2, CIS benchmarks, NIST 🛡️ Vault, SOPS, KMS, Secrets automation 🛡️ CrowdStrike, Trend Micro, Tenable, Aqua, Falco 🛡️ Zero Trust, identity boundaries, workload isolation 🛡️ Supply chain security (cosign, SBOMs, image signing) Observability & SRE Tooling 📈 Prometheus, Thanos, Grafana, Loki, Tempo 📈 OpenTelemetry, Jaeger, distributed tracing 📈 Kubernetes event pipelines, logging, metrics, alerting 📈 SLO/SLI frameworks, error budgets, resiliency testing Networking & Performance 🌐 Dell / Arista / Cisco switching 🌐 40–400GbE fabrics, LACP, MLAG, EVPN 🌐 BGP, OSPF, IPv6, VRF segmentation 🌐 NGINX, HAProxy, Envoy, Traefik 🌐 WireGuard, IPSec, Zero Trust tunnels 🌐 CDN optimization, global routing, edge acceleration Databases, Storage & Caching 💾 RDS, Aurora, PostgreSQL, MySQL, Redis, Elasticache 💾 Ceph, Longhorn, EBS/EFS/FSx 💾 Kafka, RabbitMQ, Redis Streams 💾 Backup automation, PITR, disaster recovery design ✔️ What I Deliver ✓ Production-grade Kubernetes clusters engineered for scale ✓ Zero-drift GitOps environments with full automation ✓ Enterprise-level observability & SLOs ✓ Security-by-default infra with compliance alignment ✓ High-availability & cost-efficient cloud architectures ✓ CI/CD pipelines and full developer platform tooling ✓ Fast communication, clear documentation & reliable delivery ⭐ My Satisfaction Guarantee If you’re not completely satisfied with my work, you don’t pay no questions asked. Zero risk. 100% quality guarantee. Your success or your money back.

Most companies don’t have a data problem They have a data architecture problem TBs of raw data sitting in pipelines that break, dashboards that lag, ML models that never make it to production, and AWS bills that grow faster than the infrastructure itself That’s where I come in I’m Shoaib, a Senior Data Engineer and AWS Solution Architect (SAA Certified) with 5+ years of experience building scalable data platforms, real-time pipelines, and AI/ML systems for healthcare, finance, and large-scale SaaS products I specialize in designing systems that process massive datasets, deliver reliable insights, and keep infrastructure costs under control Over the years I’ve helped companies: • Process TBs of healthcare and financial data using Spark, Kafka, and AWS data lakes • Build real-time streaming pipelines handling 1M+ requests/hour • Reduce cloud infrastructure costs by up to 50% through architecture optimization • Deploy AI/ML systems for healthcare prediction, stock forecasting, and medical transcription • Implement fault-tolerant data architectures on AWS following the Well-Architected Framework My work sits at the intersection of Data Engineering, Cloud Architecture, and AI/ML systems ------------------------------------------------------------------------------------------ Core expertise Solution Architecture AWS scaling, cost optimization, fault tolerance, CI/CD pipelines, cloud migrations Data Engineering Real-time streaming, batch pipelines, TB-scale data processing, CDC pipelines, CEP workflows, data lakes, governance, BI systems AI / ML Systems Predictive models, GenAI applications, RAG systems, domain-specific AI assistants ------------------------------------------------------------------------------------------ Tech Stack AWS (Glue, S3, EMR, Redshift, Athena, SageMaker, QuickSight) Apache Spark, Kafka, Flink, Hadoop, Hudi Snowflake, Postgres, MongoDB Python, SQL PyTorch, TensorFlow, LangChain, MLFlow ------------------------------------------------------------------------------------------ I’ve worked extensively with healthcare data (HIPAA compliant systems), financial time-series data, and large-scale event streaming platforms, helping teams turn messy data ecosystems into scalable, production-grade data platforms If you're looking for someone who can design the architecture, build the pipelines, and integrate AI/ML into real systems, I’d be happy to help ------------------------------------------------------------------------------------------ Keywords: Data Engineering, Big Data, Data Pipelines, ETL, ELT, Data Architecture, Data Lake, Data Warehouse, Real-Time Data Processing, Streaming Data, Batch Processing, Apache Spark, Apache Kafka, Apache Flink, Hadoop, Apache Hudi, Airflow, Apache NiFi, Snowflake, Snowpark, PostgreSQL, MongoDB, SQL, Python, Data Modeling, Data Governance, Data Quality, Master Data Management, CDC, Change Data Capture, CEP, Complex Event Processing, Data Integration, Data Migration, Data Analytics, Business Intelligence, Apache Superset, AWS QuickSight, Redshift, Athena, Data Visualization, AWS, AWS Architecture, AWS Solution Architect, AWS Cloud Architecture, AWS Cost Optimization, AWS Scaling, Fault Tolerant Systems, AWS Infrastructure, AWS Glue, AWS EMR, Amazon S3, AWS Redshift, AWS Athena, AWS Lambda, AWS CI/CD, Cloud Migration, Cloud Optimization, Distributed Systems, High Availability Architecture, Scalable Systems, Machine Learning, AI Engineering, AI Development, Generative AI, GenAI Applications, Agentic AI, Predictive Analytics, Model Training, Deep Learning, PyTorch, TensorFlow, Scikit-Learn, XGBoost, Time Series Forecasting, ML Pipelines, MLFlow, Feature Engineering, Model Deployment, AWS SageMaker, AWS Bedrock, LangChain, RAG, AI Chatbots, NLP, AI Automation.