You don't just need backend code; you need an architecture that scales effortlessly without inflating your cloud bill. With over 15,000+ hours logged and a Top Rated Plus enterprise track record, I specialize in designing, migrating, and deploying bulletproof backend systems from the ground up. Unlike pure DevOps engineers who only manage servers, or standalone backend developers who don't understand cloud costs, I handle the entire lifecycle. Coming from a deep Full-Stack Engineering background, I architect modular business logic and then build the automated, self-healing Kubernetes clusters and CI/CD pipelines to support it safely. Recent Architecture & Migration Wins: • Predictive AI & IoT Healthcare (GCP): Engineered a high-velocity data pipeline using Google Pub/Sub and BigQuery to ingest millions of daily IoT sensor events. Developed a Python-based Machine Learning engine that establishes patient behavioral baselines and triggers real-time, life-saving anomaly alerts. • Enterprise IoT & Fleet Management: Led the complete architectural redesign of a legacy PHP Symphony monolith into a highly concurrent Go (Golang) microservices ecosystem on AWS, seamlessly processing GPS telemetry from 50,000+ devices every 2 seconds. • AWS Cost Optimization: Architected self-healing enterprise AWS environments using Terraform and Kubernetes, successfully reducing a client's monthly cloud spend by 80% while increasing system reliability and SOC2 readiness. • Secure Healthcare & FinTech Platforms: Designed decoupled, ACID-compliant .NET Core and Python backend architectures to securely process sensitive financial transactions and HIPAA-compliant patient records with zero latency. Core Engineering Stack: • Backend Architecture: Go (Golang), Python (FastAPI), .NET Core (C#), RESTful APIs, Microservices Design • Cloud Infrastructure: AWS (EKS, ECS, EC2, Lambda, RDS), GCP, Azure • Containerization & IaC: Kubernetes, Docker, Terraform, CloudFormation • CI/CD & Automation: GitHub Actions, GitLab CI, Jenkins, Custom Workflow Automation I partner with SaaS, FinTech, and enterprise teams to modernize legacy backends, conduct deep infrastructure audits, and automate deployments from code to production. If your current backend is struggling to scale, or you need to aggressively optimize your cloud spend with a modernized architecture, let's schedule a brief technical audit of your current setup. I am happy to share sanitized architecture diagrams of similar enterprise systems I have built.

👑 Expert Vetted - Top 1% of talent on Upwork ⭐️ Top Rated Plus - Highly rated for work on large projects 🎯 100% Job Success Score 🕒 3000+ hours on Upwork ✅ 14+ years of experience ✅ 50+ projects delivered ✅ Excelling in delivering Fortune 500-scale projects Over 13 years of extensive experience in Cloud Environment, Corporate Network, FinTechs and ISPs. In Summary, my credentials include, Cloud Expertise Amazon Web Services (EC2, S3, VPC, IAM, Security-Groups, DirectConnect, Transit Gateway, WAF etc) Oracle Cloud Infrastructure (VCN, Subnets, Route Tables, Compute, IAM etc) Google Cloud Platform (IAM, Compute Engine, Firewall, Partner Interconnect, VPN, VPC etc) Security: Cisco FMC, FTDs & ASA, Palo Alto Network Firewalls and Panorama, Fortinet, FortiManager, Fortigate Firewalls, F5 BigIP LTM WAF, IPSec & Remote Access VPNs, NGIPS, Threat Prevention, URL Filtering, Cisco ISE, Cisco DUO, TACACS & Radius Authentication, SIEM, Cortex XDR, Wazuh, Rapid7, Security Onion Routing: OSPF, BGP, MPLS, Policy Base Routing using Route Maps, TCP/IP, Layer 3 Redundancy (HSRP), IP Spoofing, Virtualization (VRF), IP SLA, NAT/PAT, GRE Tunnels. Switching: Nexus VPC, Cisco Stack, Catalyst VSS, VXLAN, Spanning Tree Protocol, EtherChannels (LACP, PAGP), Access-Maps. DevOps: Terraform, Ansible, Python, Git, BitBucket, Docker, Jenkins, Linux, Netbox, Wireshark PCNSE, PCNSA CCNA 200-120 CCNA Security 640-554 CCNP R & S

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 👇

I design and build systems that pair generative AI with production-grade cloud infrastructure. Over 25 years in software engineering and cloud architecture, I've spent the last three years focused intensively on what happens when LLMs move from chat interfaces into autonomous, multi-agent pipelines. My work bridges three layers: model integration (selecting, deploying, and chaining the right models for a task), agentic orchestration (building state machines that coordinate multiple AI agents through plan/write/review/gate cycles), and edge deployment (compiling models to run on-device via WASM, LiteRT, and browser runtimes). I architected a state machine framework (sm3) that forks a single model context into three specialized roles — architect, engineer, and hypervisor — each operating under distinct permission boundaries, producing convergent artifacts without shared read access. This system uses DeepSeek V4 Flash, GPT-5, and Gemini as interchangeable engines within the same orchestration pipeline, with FastAPI dashboards and SQLite-backed persistence tracking every phase run, dispatch log, and sprint. A companion daemon (fw-sm) generalizes this into a DB-driven pipeline where states, transitions, guards, agent assignments, and file contracts are fully data-driven — no hardcoded orchestration logic. On the multimodal side, I have architected video processing workflows: Whisper for speech-to-text, InsightFace for face detection and clustering (DBSCAN), and heuristic-ML hybrid scoring to extract the best subclips. These services ran on GCP with Celery workers, FastAPI/Flask backends, PostgreSQL persistence, and GCS media storage — coordinating through message queues and signed upload URLs. I led the migration of a multilingual social simulation from a Python-server-dependent architecture (llama-cpp GGUF + Argos Translate + Piper TTS) to a fully browser-based stack where Gemma 4 runs via LiteRT-LM WASM for on-device chat and translation, with wllama, WebLLM, and ONNX Runtime Web as fallback runtimes — completely decoupling inference from any backend. The same project involved Piper TTS, Kitten NPZ-based browser TTS, and on-device phonemization. Before going deep on AI, I spent years as a cloud architect specializing in GCP, AWS, and Azure — designing high-traffic, multi-region distributed systems for medical, nonprofit, and digital media clients. I have held certifications across all three platforms and have built microservice backends, media processing pipelines, and full-stack web applications. What sets me apart is the range: contract AI model training and red-teaming, TTS systems from scratch (TensorFlow waveform modeling to browser NPZ engines), Apertium compiled to WASM for browser machine translation, self-hosted LLM inference with llama.cpp, and multi-agent frameworks that decompose engineering work across specialized AI roles. I can work at any level — from designing a cloud network topology to debugging a model's tokenization edge case. I bring this full-stack AI engineering capability — cloud to edge, model to agent, prototype to production — to every engagement. AI / LLM Models GPT-4, GPT-5 / 5.5 Gemini 2.5 Pro Gemini 3.5 Gemini (Gemini CLI) - bootstrap framework Gemma 4 (LiteRT-LM) o3 - Reasoning tasks DeepSeek R1 - Reasoning tasks DeepSeek V4 Flash - Primary experiment model Llama 4 Scout Claude (Claude Code) - CLI agent workflow SmolLM2 (135M, 1.7B) Qwen2.5 0.5B TinyLlama 1.1B Whisper (faster-whisper) Ollama (local) # CLI & Dev Tooling OpenCode CLI - Agent dispatch Google Gemini Agent CLI - CLI bootstrap Codex - CLI agent workflow Bun - Custom tool runtime Docker / Docker Compose Gitea - Self-hosted Git llama.cpp - Local GGUF serving ffmpeg / ffprobe nginx + certbot # Python Libraries & Frameworks Web & API: FastAPI Flask Streamlit uvicorn Jinja2 Mako Bootstrap 5 Authlib Databases & ORM: SQLAlchemy - ORM Alembic - Migrations psycopg (binary) - PostgreSQL driver Prisma (JS) - ORM Task Queue: Celery Redis AI / ML: llama-cpp-python InsightFace tensorflow / Keras argostranslate huggingface-hub transformers torch scikit-learn (DBSCAN) librosa soundfile numpy Game Dev: pygame-ce Kivy / KivyMD Other: python-avatars cairosvg / pillow g2pw / pypinyin / jieba pydantic pytest pycountry # Frontend & Browser Technologies Next.js 16 React + Vite - Frontend TypeScript - Tools & frontends Tailwind CSS shadcn/ui TanStack React Query NextAuth.js ESLint / Prettier Browser AI Runtimes: phonemizer # Edge & On-Device ML Gemma 4 LiteRT LiteRT / ai_edge_litert WASM Inference - LiteRT-LM, wllama, WebLLM, ONNX Runtime Web Apertium WASM Pygbag WASM Pyodide Piper TTS (ONNX) Kitten TTS

Hi, I'm Waqas – a results-driven DevOps and cloud professional with 5+ years of experience architecting, automating, and scaling infrastructures. I'm an AWS Certified Solutions Architect Associate specializing in multi-cloud deployments, microservices, and secure CI/CD pipelines. Whether you're looking to streamline your infrastructure, secure your applications, or optimize cloud costs, I can deliver tailored, effective solutions. My Expertise Includes: ✅ Cloud & Infrastructure: AWS: EC2, ECS, S3, CloudFront, IAM, Lambda, RDS, and more Microsoft Azure: Virtual Machines, App Services, Azure Functions, and Resource Management Google Cloud Platform: Cloud Run, Cloud Functions, and Storage DigitalOcean: Droplets, Kubernetes, and Spaces Blockchain Deployment: Ethereum-based RPC nodes and custom Geth builds ✅ CI/CD & Automation: Skilled in GitHub Actions, Jenkins, CodePipeline, and Cloud Build Experienced in SAST & DAST integrations for secure code pipelines Custom automation scripts using Bash for Linux environments ✅ Infrastructure as Code: Proficient with Terraform for scalable infrastructure deployments Expertise in managing resources with custom IAM roles and security best practices ✅ Application & Network Management: Strong experience with Spring Boot microservices architecture Hands-on with Cloudflare WAF, rate-limiting, and custom rules implementation Why Work With Me? 💡 I bridge the gap between development and operations to help businesses deploy faster and more securely. 💡 I bring a proven track record of optimizing cloud costs while maintaining high performance and availability. 💡 I communicate effectively and prioritize delivering on time, every time. If you're looking for a skilled professional to elevate your project across AWS, Azure, GCP, or DigitalOcean, let’s connect! I'm confident I can bring value to your team or business.

I help companies 𝘁𝘂𝗿𝗻 𝗔𝗜 𝗶𝗻𝘁𝗼 𝗿𝗲𝗮𝗹, 𝗿𝗲𝘃𝗲𝗻𝘂𝗲-𝗱𝗿𝗶𝘃𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, not just prototypes or experiments. From 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗳𝘂𝗹𝗹𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, I build solutions that 𝗿𝗲𝗱𝘂𝗰𝗲 𝗰𝗼𝘀𝘁𝘀, 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗺𝗮𝗻𝘂𝗮𝗹 𝘄𝗼𝗿𝗸, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆. With𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 𝟱𝟬,𝟬𝟬𝟬+ 𝗵𝗼𝘂𝗿𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸, and𝟯𝟬𝟬+ 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, I bring a rare combination of: → Deep 𝗔𝗜/𝗠𝗟 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 → Strong 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝗣𝘆𝘁𝗵𝗼𝗻, 𝗔𝗣𝗜𝘀, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀) → Real-world 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 I don’t just write code, I design 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 𝗕𝗲𝘀𝘁 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 - End-to-end workflow automation - AI agents & autonomous systems - Process optimization & cost reduction 𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 - GPT / OpenAI / Claude integrations - RAG (Retrieval-Augmented Generation) systems - AI copilots, chatbots, and assistants 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗦𝘆𝘀𝘁𝗲𝗺 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 - Python (FastAPI, Django), & 𝐑𝐮𝐛𝐲 𝐨𝐧 𝐑𝐚𝐢𝐥𝐬 (𝐑𝐨𝐑) - APIs & microservices. - Scalable, secure backend systems (𝐏𝐲𝐭𝐡𝐨𝐧 & 𝐑𝐮𝐛𝐲 𝐨𝐧 𝐑𝐚𝐢𝐥𝐬) - Integration with CRMs, SaaS platforms & internal tools 𝗛𝗼𝘄 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝗩𝗮𝗹𝘂𝗲 Most developers build features. I build systems that 𝘀𝗮𝘃𝗲 𝗺𝗼𝗻𝗲𝘆, 𝗿𝗲𝗱𝘂𝗰𝗲 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝗱, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀. - Clean, production-ready code (not prototypes) - Zero-bug mindset with strong QA practices - Fast execution using modern AI-assisted workflows - Clear communication & ownership from start to finish 𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 ✔ Automated operations replacing manual teams ✔ Built scalable AI systems used in production ✔ Helped businesses significantly cut operational costs ✔ Delivered solutions across SaaS, healthcare, fintech, eCommerce 𝗪𝗵𝗼 𝗜 𝗪𝗼𝗿𝗸 𝗕𝗲𝘀𝘁 𝗪𝗶𝘁𝗵 - Founders & startups looking to 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 - Companies wanting to 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 - Teams needing a 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝘀𝗲𝗻𝗶𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 who can own the system end-to-end Tech Stack 𝗔𝗜/𝗠𝗟: LLMs, RAG, NLP, Computer Vision 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Hugging Face, LangChain 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python (FastAPI, Django), APIs, Microservices, Ruby on Rails 𝗖𝗹𝗼𝘂𝗱: AWS, GCP, Azure 𝗗𝗮𝘁𝗮: SQL, NoSQL, Vector Databases If you’re serious about 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆, 𝗰𝘂𝘁 𝗰𝗼𝘀𝘁𝘀, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, let’s talk. Send me a message with your problem, I’ll help you turn it into a 𝘄𝗼𝗿𝗸𝗶𝗻𝗴, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: AI/ML Engineer | LLMs Specialist | Chatbot Developer | NLP Specialist | TensorFlow | PyTorch | Hugging Face | Cloud: AWS | Cloud: Azure | Cloud: GCP | Docker | Kubernetes | CI/CD | Data Pipelines | ETL | Web Scraping | SaaS Architecture | Automation | AI Agents | Generative AIAI & Machine Learning Deliverables | AI Agent Development | Chatbot Development | AI App Development | Model Tuning | Time Series Forecasting | Predictive Model | Natural Language Understanding | MLOps | Model Deployment | Text Summarization | Deep Learning | Computer Vision | OCR | NLP | Generative AI | RAG (Retrieval Augmented Generation) | Multi-Agent Systems | AI Automation | Python | FastAPI | LangChain | LangGraph | OpenAI API | GPT-4o | FAISS | Pinecone | n8n | Hugging Face | TensorFlow | PyTorch | UI Design | UX Design | Branding | Prototyping

I am a Cloud & DevOps Engineer with 5+ years of experience in building and managing scalable, secure, and automated infrastructures across AWS, GCP, Azure, and Proxmox. My expertise lies in container orchestration, CI/CD automation, cloud-native development, and infrastructure-as-code, helping organizations achieve faster delivery and improved reliability.

AI-focused Technical Leader and hands-on Engineer with 22+ years building products from zero to production. I architect and ship AI-powered SaaS, B2B/B2C platforms, and enterprise systems - writing code daily while leading teams and strategy. 📞 Invite me to your job for a FREE 15-minute consultation! 📞 Highlights: 🤝 56,000+ hours & 220+ jobs completed (with my Upwork agency), all with 5-star reviews 🤝 Top 1% of All Talent on Upwork & "Expert Vetted" Badge 🤝 $2M+ revenue generated on Upwork alone 🤝 18+ years of Senior Technology Executive management experience in roles such as CEO, CTO, VP R&D, Head of Engineering, Systems/Software/Cloud Architect, DevOps, PM, etc. Technical leadership and managing remote and on-site teams of up to 30 What I Do: I help companies build AI-first products - from initial architecture to production. Think of me as your remote, hands-on CTO and Lead Engineer: I design systems, write code, manage engineering teams, collaborate with designers on UX, and ship. My company builds large open-source platforms (ERP/CRM/HRM, Commerce, Work / Project Management), and I bring that same 0-to-1 product-building experience to every client engagement. Over the years, I've helped hundreds of companies, from startups to large international enterprises, and have conducted business in the US, Israel, Ukraine, and Bulgaria. Worked remotely with companies worldwide: US, UK, Norway, Ukraine, India, Australia, etc. Worked on multiple highly complex commercial projects, both in startup and enterprise environments, with small and large teams. I can work with the team or develop software independently from the ground (to production), keeping the software quality along the way extremely high! Rates: - Short-term / consulting: $180/hr - Long-term engagements: $120/hr Services: - AI strategy, architecture & implementation for existing and new products - Fractional CTO / technical leadership for startups and scale-ups - Product architecture, estimation & 0-to-1 builds - Code reviews, performance optimization & solving complex technical problems - Team mentoring and engineering process improvement (Agile/Lean) Short summary of software engineering expertise: ◾ AI Agents & Multi-Agent Systems (LangChain, CrewAI, AutoGen, custom orchestration) ◾ LLM Integration (OpenAI / ChatGPT, Anthropic / Claude, Gemini, local models) ◾ RAG Pipelines, Embeddings, Vector Search, AI Chatbots ◾ ML / Deep Learning (TensorFlow, PyTorch, Python) ◾ SaaS (B2B & B2C) / Multi-tenancy Architecture ◾ Cloud & DevOps: AWS, Azure, GCP, Docker, k8s, CI/CD, Serverless ◾ 15+ years with .NET / C# ◾ 10+ years with JavaScript / TypeScript ◾ 5+ years with Node.js / NestJS ◾ Python (AI/ML, Django, Serverless), Java, and more In technology, my focus spans AI-powered systems, Web, Mobile & Distributed Software: - AI & ML: LLM orchestration (OpenAI, Anthropic, Gemini), AI agents, RAG, vector databases, TensorFlow, PyTorch, prompt engineering, fine-tuning. - Backend: Node.js / NestJS, .NET / ASP.NET Core, Python, JS / TypeScript. - Frontend: React/ReactNative, Angular, Vue. - Data: PostgreSQL, MongoDB, MS SQL, MySQL, Kafka, RabbitMQ, ElasticSearch. - Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, Serverless, CI/CD. Some of the latest OSS projects include: - An Agentic Runtime that Autonomously Builds and Maintains Web Apps - Orchestration System for Autonomous AI Companies - AI-powered Open-Source ERP/CRM/HRM Platform - Work and Project Management Platform with AI features - Modern Commerce Platform (reactive server, mobile & web apps) Feel free to message me to get more details about my experience relevant to your specific project, I am always open to new opportunities! 📞 Reach out by inviting me to your project right now! 📞 Looking forward to working with you on amazing projects, - Ruslan

I am a Cloud Security Architect with more than 12 years of experience in Cloud Security, multi-cloud (AWS, Azure, GCP) Architecture, Exchange, and M365. Expert-level knowledge of CSPM, Vulnerability Assessment, Information Security, Email Security, and Server Administration task which includes Active Directory, DNS, VPN, DHCP, Migrations, PowerShell, and VMware Virtualization. Certification’s: - • Microsoft 365 Certified: Managing Office 365 Identities and Requirements • Microsoft 365 Certified: Enterprise Administrator Expert • Microsoft Certified: Azure Administrator Associate certified • Microsoft Certified: Azure Solutions Architect Expert certified • Microsoft Certified: Azure Security Engineer Associate certified Experience : • Design and architect the Security solutions as per the Benchmarks. (NIST CSF/CIS/CSA) • Architected the Vulnerability Management System for client using cloud native, and Qualys. Architected and remediated more than 100 thousand vulnerabilities including infrastructure, and application based. • Design and Architect Solutions, SOPs, conducted POCs. • Design, implement and maintain Azure Security, AWS Security. MDFC, Policy and Compliance, Governance, Identity and Access Management. • Design, implement and maintain Prisma for Security Policies, Integration with Azure and AWS • Intune and Endpoint Management, deployed update policies, applications. On-Premise Platform Migration: Migrate platforms to the latest Microsoft operating systems • Cloud Based Migrations: Migrate Exchange to Office Online (O365), Active Directory to Azure Active Directory, workloads and applications to Microsoft Azure. • Setting up DNS records like SPF, DMarc, DKIM for security protocols, Implementing rules and retrieving deleted Mailboxes, threat Management & compliance Management. • Server Configuration and Administration (2008, 2012, 2016) • Data Center Operations: Evaluate processes and infrastructure design to more efficiently manage operations and reduce costs while increasing predictability • Enterprise Directories: Deploy enterprise-wide business directories to lower administrative costs, coordinate end-user accounts, and reduce development costs • Detailed understanding of Azure database offerings [ Relational, NoSQL ] • Deep familiarity with Azure Security Services [ Azure Active Directory, RBAC, KeyVault, ADFS] • Architecture and Implementation experience with medium to complex on-prem to Azure migrations • Deep understanding of Intune/Endpoint Management and deployment of Policies, Apps through Intune. Management of Azure AD registered/joined devices through Intune.

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP