I’m a Software Engineer & Product Manager with 10+ years of experience in building and managing digital products, optimizing software development workflows, and driving product strategy. My background spans software engineering, blockchain infrastructure, and technical product leadership, allowing me to bridge the gap between technical teams, product vision, and business goals. 🔹 What I Do Best: • Software Development – Building and optimizing backend systems, APIs, and blockchain applications using Python, Solidity, and JavaScript/TypeScript. • Product Management & Strategy – Defining product roadmaps, managing backlogs, and aligning engineering teams to ship impactful features. • Technical Program Management – Leading multi-team development efforts, coordinating SDK & API integrations, and optimizing engineering workflows. • Data-Driven Decision Making – Conducting on-chain analytics, financial risk modeling, and user behavior analysis to improve product performance. 🚀 Notable Work: • Managed risk parameter frameworks and on-chain research for DeFi protocols. • Led multi-team SDK & API integrations across 13+ programming languages. • Developed an investigative analytics platform for cryptocurrencies at Bitfury. • Built and launched an MVP of a national digital currency with a gasless UX. I thrive in fast-moving environments, working with cross-functional teams to deliver scalable, secure, and user-centric products. Let’s connect and build something great! 🚀

I develop top-quality mobile, web, and desktop apps, often with AI features. I also work as a UX consultant and IT project manager. I always strive for excellent software — delivering average work is not an option for me. I put 100% effort into everything I do and always walk the extra mile. The result is apps that users love to use and that meet business goals. What I do: • mobile and multi-platform apps in Flutter (iOS and Android, web and desktop) • AI integrations, I enjoy solving advanced AI problems (e.g. by stacking AI models, distillation, fine-tuning, MoE, RAG, etc.) • complex software systems consisting of multiple connected applications • UX consultancy, UX audits (just UX, I am not a designer) • I lead a team of very talented software developers focused on Flutter, AI, and complex systems I am a member of the prestigious Toptal network and part of Upwork’s 🏆Expert-Vetted Talent🏆 program, which unites the top 1% of freelancers on Upwork (badge visible to enterprise clients only). Hiring top talent greatly enhances your business's chances of success! What I bring to the table: ✓ 13 years of combined development, consulting & tech leadership experience ✓ creative solutions, ideas & improvements ✓ an agile process that lets you stay on top of progress and quality ✓ highest engineering & algorithmic competence ✓ strong work ethics & accountability ✓ focus on detail, almost to a degree of perfectionism ✓ truly fluent in English with strong communication skills ✓ ability to speak simply and clearly about engineering and align it with business goals ✓ always up-to-date with cutting-edge tech ✓ master's degree in software engineering from a top EU university, where I now lecture on Flutter ✓ 12 years of AI and ML development experience with excellent knowledge of state-of-the-art AI models, development techniques, and APIs Have a question? Need tech consulting or want to build a mobile app? Drop me a line!

Profile: Chief Generative AI Architect Summary: An exceptional Chief Generative AI Architect with a rich background in executive data science and 25+ years of comprehensive experience. With a Ph.D. in computer science, this professional stands at the forefront of Artificial Intelligence, Machine Learning, and Data Science innovation. A distinguished inventor with a US Patent (US 2013 0194453) and an author of over 60 peer-reviewed publications in leading technical domains, they bring a profound depth of knowledge and a track record of turning complex concepts into scalable, production-ready solutions. Key Qualifications: Expertise in Generative AI: Spearheaded the development of state-of-the-art Generative AI applications, including fine-tuning open Large Language Models (LLMs) with corporate data, creating sophisticated ChatBots for enterprise query resolution, and designing Gen AI applications for code generation from natural language queries. This suite of solutions has significantly enhanced operational efficiency, reduced the need for technical expertise in programming, and accelerated data insights acquisition. Innovative Solution Architect: Holds a US patent and has contributed significantly to the field of AI and ML through more than 60 peer-reviewed technical publications. These contributions underscore a relentless pursuit of innovation in AI, ML, Deep Learning, and related technologies. Strategic Leadership and Management: Demonstrated excellence in managing high-performing teams, setting and tracking key performance indicators (KPIs), and leading projects from ideation through to successful deployment. Experience in customer engagement and C-level interactions, providing strategic oversight to translate business needs into high-impact data science solutions. Quality Assurance and ML Ops Integration: Developed a comprehensive quality assurance framework leveraging Generative AI, ensuring the reliability and effectiveness of AI applications. Proficient in integrating ML Ops practices to streamline the lifecycle of AI solution development, ensuring scalability, performance, and compliance. Professional Experience: Executive Leadership: As an executive data scientist and Chief Generative AI Architect, played a pivotal role in setting visions for AI-driven transformations within organizations, directly contributing to enhanced decision-making processes, operational efficiency, and competitive advantage. Innovation and Research: Led innovative projects that pushed the boundaries of what's possible with Generative AI in software engineering, analytics, and business intelligence, contributing to a rich portfolio of intellectual property and advancing the state of the art in AI and ML. Team Management and Strategy Implementation: Directed cross-functional teams towards achieving ambitious project goals. Established performance metrics, strategized for continuous improvement, and ensured compliance with industry standards and best practices. Stakeholder Engagement: Engaged with customers, stakeholders, and C-level executives to define key business processes and develop predictive models, from prototype to production. Excelled in translating complex data science concepts into actionable business insights. Educational Background: Ph.D. in Computer Science, specializing in Artificial Intelligence, Machine Learning, Deep Learning, Statistics, and Algorithms. Patents and Publications: Holder of US Patent 2013 0194453, and author of over 60 peer-reviewed publications in the fields of Artificial Intelligence, Machine Learning, and related technologies. This Chief Generative AI Architect is a visionary leader, blending cutting-edge technical expertise with strategic acumen to drive innovation and deliver impactful AI solutions across various sectors.

Need a backend or data system that actually works at scale? I can help. I build the infrastructure behind search engines, data pipelines, and ML platforms — the kind of systems where reliability, throughput, and cost all matter. My background is shipping production systems at Amazon Prime Video and Alibaba (Quark Search), so I'm used to working with real constraints, tight timelines, and code that has to run 24/7. What I can help you with: ✅ Backend services & APIs — Python/FastAPI, Rust, Java/Spring; clean, tested, deployable ✅ Distributed crawling & scraping — Playwright/Selenium, anti-bot, scheduling, monitoring at scale ✅ Search & indexing — crawl → parse → rank pipelines; Elasticsearch/OpenSearch ✅ Data pipelines & orchestration — batch/stream processing, Kafka/SQS, Airflow ✅ ML infrastructure — vector DB (Milvus), feature pipelines, training/eval workflows, GPU job orchestration ✅ DevOps & cloud — AWS, Docker/K8s, CI/CD, observability & alerting ✅ Performance & cost optimization — profiling, architecture review, design docs A few things I've delivered: → Built a selective-test tool at Amazon that cut CI time by 40% — devs shipped faster, infra costs dropped. → Owned the link-discovery & crawler system at Alibaba Quark Search; pushed priority-domain coverage from 64% to 92%+. → Deployed a Milvus vector DB platform on K8s with Rust gRPC gateway, TLS, health checks, and end-to-end integration tests. I scope before I build. You'll get a clear plan, regular updates, and working code — not surprises. I'm comfortable async or on calls, UTC+8 based, and flexible on hours. Tell me what you're trying to build or fix — I'll let you know if I'm the right fit and how I'd approach it.

15+ years of commercial software development using Java/Python/React tech stacks both for big corporations and for startups in several domains: AI/ML, Finance/Trading, AdTech and others. I’ve been dealing with large scaled distributed and heavy loaded applications with thousands of concurrent users/transactions per second and processing several TB of user data daily. I specialize in backend multi-threaded applications but also have an extensive experience with web applications with complex UI logic. I'm fan of clean code, simple architectures and Test Driven Development (TDD) When a designing an application from scratch or fixing legacy one - I use OOP/OOD approaches for easy enhancements in the future and keep architecture as simple and flexible as possible which allows to minimize a technical debt of the whole project. My main goal is meeting client's business needs with an effective scalable architecture and good code quality (coding standards, unit-test coverage, etc).

I'm a Senior Software Engineer with 10+ years of AWS and database experience. I build complete solutions: from cloud infrastructure and databases to interactive dashboards and mapping applications. Not only that, but I have a proven track record with 100% job success. Some of the things I can do for you in the software engineering world: * AWS ci/cd cloud development for scalable solutions * Implement AI into your workflows * ETL pipelines for anything you need * Automation of repetitive manual work * SQL and noSQL queries, Stored Procedures, Functions, CLR * Language porting for existing tools * Debugging, troubleshooting, and optimization * Testing design and implementation * Ci/cd and other devops work Hard Skills: * Python, C#, C, JavaScript * AWS cloud developer - serverless and terraform ci/cd experience * SQL Server Spatial (MSSQL ) - Postgres * MongoDB * Hadoop - Spark * SQL Sever CLR * QGIS, ArcGIS ArcDesktop, ArcServer, ArcPro, ArcOnline * MapServer * OpenLayers * Arcpy, scipy, R, shapely * ML/AI - tensor flow - CUDA * Typescript * Angular * Supabase

EXECUTIVE SUMMARY Visionary Chief AI Architect with 15+ years of progressive experience transforming traditional data engineering landscapes into sophisticated AI-driven ecosystems. Proven track record of architecting and deploying cutting-edge AI/ML solutions, Generative AI applications, and innovative Agentic AI systems (leveraging MCP) for Fortune 500 clients and federal agencies. Expert in end-to-end MLOps, robust data pipeline design, and cloud-driven architecture with extensive AWS certifications. Exceptional at leading cross-functional teams, engaging with top executives, and consistently delivering measurable business impacts in Healthcare, Financial Services, and Cybersecurity sectors. Core Competencies : Strategic AI Leadership | Client Executive Engagement | Enterprise Solutions Architecture | Team Building & Mentorship | Business Development | Technical Innovation KEY ACHIEVEMENTS Strategic Leadership & Innovation Enterprise AI Transformation: Led AI adoption initiatives across federal agencies (FDA) and healthcare organizations, establishing enterprise-wide AI governance frameworks and best practices Technology Vision: Pioneered implementation of cutting-edge Agentic AI solutions using MCP, positioning Deloitte's cyber intelligence platforms at the forefront of AI innovation Cross-Functional Leadership: Successfully mentored and led diverse teams of data scientists, MLOps engineers, and developers across multiple high-stakes government and enterprise projects Strategic Vision & Execution: Demonstrated ability to define and execute long- term AI strategies that align with organizational goals and regulatory requirements Client Engagement & Business Impact Executive Stakeholder Management: Regularly engage with executives and senior government officials, translating complex AI concepts into strategic business value Multi-Million Dollar Project Leadership: Experience managing large-scale consulting engagements with budgets exceeding $10M annually across government and enterprise sectors Technical Excellence & Innovation Advanced AI Implementation: Successfully deployed Generative AI applications for regulatory document analysis, revolutionizing drug approval processes Infrastructure Modernization: Led migration of legacy systems to modern cloud- based architectures, dramatically improving scalability and performance Custom AI Solutions: Full-stack AI development from concept to deployment, including user interface design, backend architecture, and scalable infrastructure End-to-End Solution Architecture: Proven ability to translate complex business requirements into innovative AI solutions that deliver measurable ROI SKILLS AI & MACHINE LEARNING • Generative AI & Custom Applications: Expert in building bespoke GenAI applications, OpenAI GPT models, LangChain, PyTorch, TensorFlow, Hugging Face, LLM Optimization, custom AI solution development • Specialized AI: NLP, GraphRAG Implementation, computer vision, predictive analytics, Model Finetuning • Agentic AI Development: Model Context Protocol (MCP), autonomous AI systems, intelligent automation • Custom AI Solutions: End-to-end development of tailored AI applications for regulatory compliance, document processing, and intelligent automation • AI/ML Frameworks: Advanced framework implementation, custom model development DATA ENGINEERING & ANALYTICS • Big Data Platforms: Apache Spark, PySpark, Hadoop, Databricks (notebooks, collaborative ML workflows), high-performance SQL optimization • ETL/ELT Pipelines: Robust data pipeline design, real-time processing, data quality frameworks • Databases: Snowflake (cloud data warehouse & analytics), SQL optimization, NoSQL, data governance, regulatory compliance (HIPAA, FDA) CLOUD & INFRASTRUCTURE • Cloud Data Solutions: AWS, Azure Cloud Architecture, Databricks,Snowflake, data lakes and warehouses • Infrastructure: Scalable cloud architecture, security frameworks, compliance management • DevOps & Containerization: Docker, Kubernetes, Jenkins, GitLab CI, Terraform, automated deployment • MLOps: CI/CD for ML pipelines, automated model deployment, monitoring, containerization PROGRAMMING & DEVELOPMENT • Core Languages: Python, PySpark, Java, JavaScript, node.js, SQL • AI/ML Frameworks:Advanced framework implementation, custom model development • Development Tools: Git, GitHub Copilot, GitHub Copilot Studio, testing frameworks (Selenium, Cypress, JMeter, Postman) • AI-Powered Coding Tools : Leveraged Copilot & Copilot Studi for accelerated coding, error reduction, collaborative python/Java/Js development • Agile & Project Management:SAFe Agilist certified, ITIL 4 Foundation, stakeholder management LEADERSHIP & BUSINESS SKILLS • Strategic Planning: AI roadmap development, enterprise transformation, technology adoption, long-term strategy alignment with organizational goals

I am a software Data Engineer experienced in building scalable, fault-tolerant data pipelines on-prem or on any cloud providers while keeping cost in mind. Here are kind of challenges you would like to solve. I definitely respect client time and would provide my services to the full satisfaction of the client. - I am also very skilled in Performance tuning of large scale jobs with Spark, Streaming, SQL to help reduce your cloud costs. I can help with hot partitions, correct data partitioning and bucketing. - I will operationalize and automate your daily tasks through automations. I have experience with various CI/CD tools ranging from Github Actions, Jenking, Gitlab CI, Bamboo to Infrastructure deployment automation tools like Terraform and Pulumi. - I can help you model your datasets such that they are easy to build analytical dashboards from. I can also help you drive full business problem and break it down into multiple pieces for you to easily solve those. Here are some the skills and I really good at. - Skilled at Multiple SQL engines. TL;dR; They are all similar if not same. BigQuery, Snowflake, Redshift, Trino, Hive, Spark SQL - Polyglot programming: I have worked with programming languages like Java, Scala, Python, Javascript and I am always open to picking up new languages if needed. - Test Driven Development for Data services. Yes, Data services should also rely on unit tests and integration tests to make sure they are always accurate and can be run reliably without disruption. So, I definitely advocate for this. The final call with be on the client. - Automate Everything: I very much value the automation of most stuff such that human intervention could be minimized. I prefer infra automation using IaC tools like Terraform, pipeline automation through Cloud-native tools like Glue, Cloud scheduler or even Airflow, Preset if clients already have that running. For deployment automation, I would rely on Github Actions, Gitlab CI or Jenkins. - Documentation: Yes, definitely, I do provide documentation for any work I do. I would provide ample information for existing team members to pick up my work and I can also provide training sessions if that's what my clients prefer. - Architecture Design: I have architected data pipelines and modelled data for various clients in my past work. So, I can definitely help design, architect and model my client's data infrastructure. - Cloud for Costs: I have experience with AWS and GCP cloud platforms. I have advanced level understanding where I can help set up secure and optimized infrastructure such that it doesn't cost my clients more than they should spend. Depending on client size, I would recommend off-the-shelf solutions or for enterprise customers, I can suggest solutions which are more robust and easier to onboard team members. I will also make sure that you get enough billing information for all cloud services you're running in a granular manner for your data platform.

Hello and welcome! I’m an Expert Full-Stack Cloud Engineer with 27+ years of experience in developing scalable web and mobile platforms. I can help you build your AWS, Azure, and GCP based web MVP or SaaS with backend databases like MySQL, MongoDB, Cassandra, DynamoDB, CosmosDB, SQL Server, Firebird, Azure SQL, and Elasticsearch. I have deep experience in building scalable Cloud solutions using API Gateways, Docker/Kubernetes (AKS, GKS, EKS), REST, GraphQL, CI/CD, and Microservices (with RabbitMQ and Kafka). Being good at web development, I can build frontend apps using React, Angular and Vue frameworks for your MVP. I have previously built scalable systems and MVPs in various industries. For example: I'll help you create a list of cloud projects from your portfolio, organized by cloud provider. I'll analyze the project summaries and categorize them based on the cloud technologies mentioned. AWS Projects: 1. Small World Financial Services - Banking domain - Technologies: AWS, SpringBoot, Java - Focus: International money transfer systems 2. TradeSun - Banking domain - Technologies: AWS Lambda, NodeJS, Angular, Serverless, DynamoDB - Focus: AI-powered trade document checking system for JPMorgan 3. CrazyDeals.com - E-commerce domain - Technologies: AWS, Magento, Redis, MySQL - Focus: Online shopping platform optimization 4. Al Jazeera Media Network - Media domain - Technologies: AWS, SASS, JSP, NodeJS, Ruby - Focus: Content management system for news production 5. Pop Social - Social Media domain - Technologies: React Native, SpringBoot, GO, AWS - Focus: Social media platform with Web3 integration 6. ApexChat - Communication domain - Technologies: Socket.io, AWS Fargate, SQS, SNS, NodeJs - Focus: Customer service chat system 7. TaskQue.com - Project Management domain - Technologies: PHP Lumen/Yii, AWS, AngularJS2, MongoDB - Focus: Project management tool 8. Smart Gun Cover System - IoT domain - Technologies: AWS IoT, AWS SNS, Python TensorFlow - Focus: AI-powered firearm monitoring system 9. AARP MoneyMap - Analytics domain - Technologies: React, Apollo, GraphQL, Google Analytics, Aurora - Focus: User behavior analytics platform for financial planning Azure Projects: 1. iPrice Group - E-commerce domain - Technologies: Azure, PowerBI, Python, Cassandra - Focus: Price comparison data system 2. GET Consulting - ERP domain - Technologies: Azure Functions, Cosmos, Service Bus, Redis, Angular - Focus: Cloud-based business management system GCP Projects: 1. SCEAI Qatari Economics Portal - Public sector, analytics domain - Technologies: GCP OpenAI, Pinecone, Web API - Focus: RAG/AI-powered data analytics and question answering system I believe I can build nice Cloud solutions for you. I am looking forward to working with you. Warm Regards, Rafey Full-Stack Cloud Engineer | Azure | AWS | GCP

Innovative Full Stack Senior Software Developer and Systems Architect A highly skilled professional with extensive expertise in leading-edge software development, system architecture, and project management. Specializes in event-driven websites, iot, big data, automation, embedded programming, llms, robotics, cloud engineering, continuous integration, and delivery. A proven track record of pioneering robust, scalable systems and leading projects from concept to completion with precision and efficiency.