Upstaff Developer Profile Directory

Upwork: 46 projects, $300,000+ earned, 100% Job Success and Top Rated Plus. I run 34+ production websites. Current https://zovo.one publishes 84 live Chrome extensions and 60,000+ users; these are owner-published figures. Websites, dashboards, Stripe checkout/subscriptions, API integrations, performance fixes and Chrome extensions are my focus.

• 12+ years developing scalable enterprise applications using C#, .NET, Scala, and modern JavaScript frameworks.
• Expertise in building RESTful APIs, microservices, and cloud deployments with AWS and Docker.
• Led LMS platform development, integrating OAuth2 and SAML for secure single sign-on workflows.
• Strong background in database design with SQL Server, PostgreSQL, Oracle, and MySQL.
• Experienced in Agile methodologies, CI/CD pipelines, and mentoring development teams.

• Finance AI Evaluation: Tested AI-generated responses for accounting accuracy, financial reasoning, relevance, and consistency.

• AI Testing: Created finance-focused test scenarios covering accounting, financial reporting, audit, controls, reconciliations, and revenue recognition.

• AI Output Validation: Identified accounting errors, calculation issues, inconsistencies, unsupported conclusions, and potential hallucinations.

• Finance Workflow Testing: Evaluated AI use cases across P2P, O2C, financial reporting, reconciliation, audit, and ERP processes.

• Edge-Case Testing: Developed complex finance scenarios to assess AI reliability and reasoning in real-world situations.

• Senior Full Stack Engineer with 15 years of experience delivering scalable solutions using React, Node.js, Next.js, and TypeScript for Amazon, Nike, Intuit, and more.
• Architected and shipped a GenAI chat platform featuring real-time SSE streaming and full WCAG 2.1 accessibility compliance.
• Expertise in frontend frameworks (React 15-18, Angular, Vue), backend APIs (NestJS, GraphQL, REST), and cloud infrastructure (AWS Lambda, EC2, S3).
• Strong testing discipline with Jest, Enzyme, Cypress, Karma; led multiple large-scale migrations and performance optimizations.
• Proven leadership in cross-functional collaboration, mentorship, code review standards, and end-to-end feature ownership.

• Senior product designer with 10+ years in enterprise SaaS, AI, healthcare, and consumer products, specializing in complex workflow design and AI-driven user experiences.
• Led AI onboarding and agent-assistance workflows at Nextiva, achieving up to 50% reduction in missed calls and 20% faster call handling.
• Proficient in Figma, Adobe CC, Cursor, Claude, ChatGPT, GitHub Copilot, HTML, CSS, JavaScript, and design systems like Sedona.
• Experienced in design systems, human-AI interaction, conversational UX, prototyping, usability testing, and data-driven UX strategies.
• Mentored 80+ designers via ADPList and led design teams through critiques, coaching, and cross-functional collaboration.

• 10+ years in software engineering, DevOps, platform engineering, and solutions architecture, including 4+ years delivering AI-assisted workflows and platforms.
• Extensive AWS and Azure experience with Kubernetes, Terraform, CloudFormation, GitHub Actions, and multi-account/multi-region environments.
• Built RAG and MCP-based AI workflows with human-in-the-loop review, AI-assisted infrastructure review, and AI-powered SaaS features.
• Led cloud migrations, platform architecture, workshops, and cross-functional engineering initiatives for SaaS and enterprise clients.
• Experience with SRE, security controls, compliance environments, architecture governance, and build/deployment automation.

• Software Engineer with 14+ years in software engineering, including 4+ years as a Senior Solution Architect, with expertise in AWS, Azure, .NET, and distributed systems.
• Experienced in AWS architecture, Terraform, CloudFormation, Kubernetes, EKS, OpenShift, Helm, and Istio for scalable cloud infrastructure.
• Background in microservices, Domain-Driven Design, event-driven architectures, and API-first integration using Kafka, AWS SQS/SNS, and Apigee.
• Experienced in enterprise and financial environments, defining architecture standards, leading technical initiatives, and supporting agile engineering teams.

• Data Platform Engineer and DevOps with 4+ years optimizing data infrastructure and distributed systems using Apache Spark, ClickHouse, and cloud platforms.
• Reduced infrastructure costs by R$3M+ annually through Spark ingestion framework optimization at XP Inc.
• Expertise in AWS, Terraform, Kubernetes, GitOps, and CI/CD pipelines enhancing platform reliability and scalability.
• Developed observability and event-driven architectures with CloudWatch, OpenTelemetry, Kinesis, and Lambda for real-time workloads.
• Proficient in Python, SQL, TypeScript, and distributed system design, delivering platform tooling adopted by 100+ engineers.

• 12+ years leading QA in Automotive (HMI/Infotainment), Enterprise Desktop, and Web domains.
• Expert in test strategy, manual and API testing, HMI, regression, and exploratory testing.
• Proven leadership managing distributed teams, mentoring, sprint planning, and QA process improvements.
• Skilled with Jira, Confluence, Postman, SQL, Jenkins, Git, AWS, MQTT, and JMeter.
• Certified ISTQB CTFL with strong stakeholder collaboration and risk management expertise.

Ecosystem & License Optimization: Audited plugins and JSM licensing at SOFTSWISS, saving $70,000+ annually.

Enterprise Automation: Built end-to-end financial tracking in Jira Assets using ScriptRunner (Groovy) for real-time budget and cost calculations.

Integrations: Engineered bidirectional sync between Jira and 1C, Slack CLI, Active Directory, and Siebel via REST API.

Smart Routing: Developed dynamic ticket assignment based on time zones, capacity, and workload to improve SLA.

Training & Mentorship: Led company-wide workshops on Jira, JSM, EazyBI, BigPicture, and Plans to drive tool adoption.

• 10+ years in cloud-native architecture, AI platform delivery, and enterprise governance across multi-cloud environments (AWS, Azure, Google Cloud).
• Led enterprise architecture practice, delivering 8+ AI systems, achieving CMMI Level 2 maturity, and co-authoring cybersecurity aligned to ISO 27001 and NIST.
• Skilled in Python, C#, Java, JavaScript/TypeScript, microservices, containerization (Docker, Kubernetes), serverless, and IaC (Terraform).
• Leadership managing 40+ engineers, driving $4M+ revenue growth, and mentoring across distributed teams.
• Creator of AI governance frameworks, AI-powered automation, and multi-LLM orchestration platforms; active in thought leadership and industry innovation.

• Senior AI/ML Engineer with 6+ years in architecting enterprise AI platforms, multi-agent systems, and GenAI workflows, delivering solutions with 94%+ task accuracy and serving 10M+ monthly inferences.
• Expertise in Python, PyTorch, Azure AI ecosystem, LLM/SLM fine-tuning (Phi-3/4, GPT-4), and optimization (vLLM, TensorRT-LLM) reducing compute costs by 45%.
• Proven track record in building scalable MLOps pipelines, real-time AI safety guardrails, and automated evaluation frameworks ensuring SOC2/GDPR compliance.
• Strong background in data engineering with Apache Spark, Kafka, Delta Lake, and hybrid search systems integrating vector databases and semantic ranking for enhanced retrieval precision.

• Senior Test Automation Engineer with 11 years in embedded systems, HW/SW integration, and Python-based test frameworks.
• Expertise in Python, pytest, Playwright, FastAPI, PostgreSQL, Redis, Docker, and CI/CD pipelines.
• Developed reusable frameworks for distributed systems and IoT platforms with advanced fault injection and recovery testing.
• Background in REST API, asynchronous processing, and end-to-end system validation across API, backend, and UI layers.
• Skilled in embedded testing tools including CAPL, CANoe, dSPACE, and diagnostic protocols (CAN, LIN, UDS, XCP).

Full-Stack Developer with 4 years of experience in Vue.js, TypeScript, and NestJS. Core contributor to a platform with 1.3M+ monthly users, delivering end-to-end features from database to UI. Sole maintainer of open-source projects with 280K+ monthly users, including blockchain explorers and AI media platforms. Expertise in building scalable backend services with NestJS, Prisma, PostgreSQL, and Docker. Skilled in AI integration, async job queues, rate limiting, and complex UI components like TipTap WYSIWYG editor.

• 10+ years of expert-level Power BI Pro (Desktop/Service), including workspaces, RLS, deployment pipelines and gateways. Also teaches Power BI at an IT school
• Expert in DAX and Power Query, including complex models, time intelligence, performance optimization, M, query folding and parameterization
• SQL experience with Azure SQL/SQL Server, T-SQL, DWH, tuning and SSAS Tabular. Strong ETL/data integration background, including ERP, APIs and building DWH from scratch
• Skilled with Databricks, Spark/PySpark, Delta Lake and notebooks, plus ADLS/Lakehouse and medallion architecture
• Experience with Parquet optimization, Synapse Analytics, Azure Data Factory, pipelines, orchestration and incremental loads

• Expertise in end-to-end UX/UI design with strong skills in Figma, prototyping, and design systems for mobile and web platforms.
• Applied inclusive design principles and accessibility standards (WCAG, AODA) in product development from research to implementation.
• Led mixed-methods research and co-design workshops, translating insights into personalized, user-centered digital solutions.
• Experience collaborating with product and engineering teams to optimize usability and technical feasibility through iterative prototyping.
• Skilled in information architecture, user flows, and interaction design, demonstrated by redesigning complex media and sustainability platforms.

• 17 years as System Engineer specializing in Atlassian products with certifications ACP-500, ACP-600, ACP-620 and AWS Certified Solution Architect.
• Expert in Jira/Confluence administration, automation with Groovy/Python, and complex integrations using REST APIs.
• Led Atlassian Cloud migrations, business process automation, and custom workflow development for enterprise clients.
• Skilled in containerization (Docker, Kubernetes), virtualization (VMware), and infrastructure as code (Terraform, CloudFormation).
• Background in scripting (Bash, PowerShell), database management (PostgreSQL, MS SQL), and identity management systems (Atlassian Crowd, Active Directory, Okta).

• 10+ years managing and automating Atlassian environments (Jira SW/SM, Confluence) with advanced JQL, REST API, ScriptRunner, and custom workflows.
• Expertise in ITSM/ITIL processes, KPI development, and incident/change management in fintech and SaaS domains.
• Background in AWS account management, Grafana monitoring, and cloud-based support tools integration.
• Led 24x7 L2 support setup, boosting team productivity 2x and reducing ticket reopen rate from 11% to 2% via automation saving 500+ hours/year.
• Experienced in developing scalable user group schemes, billing management, and cross-department collaboration through tailored Jira projects and dashboards.

• Senior Atlassian Systems Engineer with 6 years specializing in Jira Software, Jira Service Management, and Confluence automation using ScriptRunner (Groovy)
• Executed 10+ successful Data Center-to-Cloud migrations for medium and large enterprises, ensuring seamless transition and workflow optimization
• Expert in building post-functions, event listeners, validators, and scheduled jobs tailored for production environments
• Skilled in integrating Jira with external systems via REST API and Python for large-scale bulk operations and cross-project data synchronization
• Experienced with Atlassian Rovo AI platform, Forge app development, and advanced JQL for enhanced automation and user-centric solutions

• Senior Azure DevOps Engineer & Cloud Architect with 10+ years in scalable Azure infrastructure, CI/CD pipelines, and multi-cloud environments (Azure, AWS).
• Expertise in IaC (Terraform, Bicep, ARM), Kubernetes (AKS/EKS), GitOps (ArgoCD), and containerization (Docker, Helm).
• Skilled in reducing release cycles from weekly to daily and cutting cloud costs by 40% through FinOps and autoscaling (KEDA).
• Background in observability using Prometheus, Grafana, ELK, Azure Monitor, and Datadog, with incident runbooks and SRE practices.
• Experience in automation (Bash, PowerShell, Python, Go) and secure infrastructure delivery in B2B and enterprise settings.

• 10+ years of ETL and data integration experience with batch and streaming integrations.
• 7 years of Databricks: Lakehouse, PySpark, Delta Lake, Unity Catalog, Workflows, batch/streaming pipelines, data processing and performance optimization.
• Power BI Pro (Desktop/Service) and Power Query experience, DAX knowledge.
• Skilled in SQL with Azure SQL Database/SQL Server, including data modeling and query optimization.
• Experienced with ADLS, Parquet (partitioning, compression, storage/read optimization), Azure Synapse Analytics/Notebooks, and Azure Data Factory, including building and maintaining data pipelines.

• Senior Full-Stack Engineer with 10+ years designing scalable SaaS platforms and agentic AI systems using Python, TypeScript, Node.js, and React.
• Expert in building tool-calling agents, RAG pipelines, and multi-step autonomous workflows leveraging LangChain, OpenAI, Claude APIs, and vector search.
• Proven track record in architecting robust backend services with FastAPI, PostgreSQL, MongoDB, and Docker, optimizing document processing time by over 50%.

• 10+ years in IT with expertise in OLTP, ETL, DWH, OLAP, and CI/CD pipelines using Azure DevOps.
• Skilled in architecting and migrating complex databases and data warehouses across Azure, GCP, and on-premises environments.
• Experience with Microsoft SQL Server, SSIS, ADF, Airflow, Python DAGs, and Git maintenance for large-scale data integration projects.
• Skilled in implementing AI-driven multi-agentic flows for data quality tests and code reviews, enhancing automation and reliability.
• Leadership in team mentoring, client collaboration, and delivering data solutions for high-profile clients including Big Four companies and startups.

• Senior Data Engineer with 7+ years in GCP & AWS multicloud platforms, specializing in BigQuery, dbt, and AI-integrated pipelines.
• Experience in cost optimization: reduced BigQuery and GCP expenses by 30%+ and 50%, saving $100k+/year.
• Expertise in Pulumi-based IaC, CI/CD pipelines, and multicloud observability.
• Developed custom fine-tuned AI models for automation and advanced analytics.
• Background in Python, SQL, cloud-native services, and data warehouse architecture.

• BI development background with expertise in Power BI Pro, complex DAX, Power Query, Azure Data Factory, Azure DevOps and CI/CD automation.
• Skilled in SQL, T-SQL, Azure SQL, and Microsoft SQL Server, including query optimization, scalable data modeling, and database engineering.
• Experienced in ETL and data integration, ADLS, Azure Synapse Analytics and Databricks, including data pipelines and notebooks.
• Experience with Parquet optimization, including partitioning and compression, with the ability to quickly deepen expertise.
• Background in data warehousing, stored procedures, triggers, SSIS, Apache Airflow and Microsoft Fabric.

• Senior Cloud Engineer with 15+ years specializing in Azure to AWS migrations, Kubernetes (CKA), and Terraform-driven IaC.
• Expert in designing Zero Trust, high-availability infrastructures and automating GitOps pipelines using ArgoCD and FluxCD.
• Proven success architecting AI RAG systems, boosting retrieval speeds by 40%, and managing multi-cloud environments including AWS, Azure, IBM Cloud, and GCP.
• Skilled in security hardening with OPA, OpenSCAP, and IAM least privilege policies, ensuring compliance and enterprise asset protection.
• Strong background in Python, Bash, PowerShell scripting, CI/CD automation, and observability stacks like Prometheus and Grafana.

• Data Platform Architect with 20+ years of experience designing and scaling enterprise data systems.
• Expert in SQL Server, multi-cloud (AWS, Azure, GCP), performance engineering, and AI-driven operations.
• Managed 800+ SQL Server instances, Achieved up to 70% performance improvement, Delivered 80%+ cost reduction in cloud environments

• AI Engineer with 10+ years in .NET, specializing in LLM integration, multi-model AI agent platforms, and AI governance for high-liability domains.
• Expert in C#, .NET 8, Blazor, Azure, AWS, and microservices, delivering production APIs with sub-120ms response times at 150k+ daily requests.
• Architected AI-driven anomaly detection flagging 95% of fraudulent transactions and legal SaaS.
• Proficient in Clean Architecture, DDD, CQRS, SOLID principles, event-driven design, and prompt engineering with multi-provider LLM support.
• Experienced in cloud-native CI/CD pipelines, Docker multi-stage builds, Bicep IaC, and real-time messaging with SignalR, RabbitMQ, and Azure Service Bus.

• 10+ years leading cloud architecture and DevSecOps across AWS, GCP, Kubernetes, and Terraform-based CI/CD pipelines.
• Cost and scale experience: reduced infrastructure costs by CAD $3M while scaling platforms to support 1M+ API calls/day.
• IaC and automation: Terraform, Ansible, GitHub Actions across multi-cloud environments (AWS, GCP, Cloudflare).
• AI-enabled platform initiatives: led AI adoption, workflow automation, and governance across cloud/DevSecOps/SRE initiatives.
• Compliance-sensitive experience: administered AWS infrastructure and governed production microservices at a banking research environment.
• AWS Solutions Architect Professional Training, Oracle Cloud Professional Architect.

Cloud-focused Software Engineer with practical experience designing, developing, and deploying scalable cloud applications. Skilled in cloud platforms, CI/CD pipelines, and microservices architecture. Adept at optimizing performance, automating workflows, and ensuring reliability and security of cloud systems. Experienced in collaborating with cross-functional teams to deliver complex projects on time. Passionate about leveraging modern cloud technologies to build efficient, maintainable, and high-performing software solutions.