Top 1%; part of the UpWork's Expert-Vetted program. ✅More than 100 completed projects on UpWork 🇺🇸Available for calls during business hours 🎓4 AWS Certifications: Professional Solutions Architect (result is 945 out of 1000), Professional DevOps Engineer (915), Machine Learning Specialty, Cloud Practitioner In short, the solutions I created are used by millions of users every day. I could build a web, mobile or desktop application using Serverless Computing, conforming to the principle of the least privilege under version control for each function (Pay-per-use AWS or Google Cloud infrastructure that scales indefinitely). When I code either the Frontend or Backend solutions, the experience I have defined the prioritization of the characteristics for the product: 1. Simplicity (readability). ---- all frontend services I create are event-driven with the FaaS infrastructure or in rare cases BaaS. ---- I write in strict TypeScript (if you don't know TypeScript, it is the same JavaScript plus type safety to increase stability). 2. Technical scalability ---- Comparing to containerized microservices, where parts are connected to each other, FaaS development allows to create completely independent functions. It is easier to manage and to make changes as you split the functionality into much smaller blocks. ---- FaaS can scale indefinitely, so any load the cloud provider (such as AWS) could handle is supported. -------- If you have 0 customers today, your bill is $0, comparing to microservices, where you have to have at least one container running $25/month. A typical project is eight containers. -------- If you have a billion customers tomorrow, FaaS auto scales horizontally to handle the new load automatically, with the pricing of an optimized solution close to $2-5/million requests for ALL infrastructure combined. 3. Size ---- The size of the bundled assets needs to be small as it affects the operating costs (you are charged by millisecond). ---- I have created tens of different custom Webpack solutions for all types of possible cases to minimize and optimize the bundles, including code splitting, tree shaking, finding the most appropriate target for the JavaScript (or TypeScript transpilation), image minification and lazy-loading (PNG, JPEG, SVG, etc), service workers, manifest, etc. -------- and even the updating process of the objects in a file hosting (such as AWS S3) to upload only those assets that have changed. -------- I have worked on many projects, every time trying to find something else to improve, so the solutions are extremely well optimized. 4. Performance ---- when I had projects to optimize for performance, I have created a lot of custom solutions as public solutions are for everyone and, therefore, typically suboptimal for a particular case. I create SPAs, conforming to PWA standards, and frontend plugins using React.js. I follow Component Driven Development (CDD) together with Visual Test Driven Development. For that, I use PlayWright and Storybook. When writing styles, I use CSS-in-JS (primarily using Emotion library). The Desktop app development involves also Electron, but the overall process is the same. That is the reason why it is easy to convert my solutions to distribute as a desktop app. When creating mobile apps, I use either React Native or create hybrid web-based solutions with Capacitor.js. 🔒Backend: I am a strong proponent of Serverless Computing, who has extensive experience with FaaS and BaaS, automatically generating IAM rules and cloud services, and conforming to the principle of the least privilege for each function/service. In regards to HTTP APIs, I create: - RESTful APIs covering them in tests and preparing for adoption by frontend devs via password-protected documentation over web endpoints where the frontend devs are able to observe and interact with Swagger UI that conforms to the OpenAPI 3.0 specification. - GraphQL. Created in all possible ways: custom with plain GraphQL library (no Apollo or other wrappers), with Apollo; in Programmatic and Declarative ways I automate provisioning of infrastructure (IaC) using AWS CDK and Google Deployment Manager configs, so that it takes one CLI command to create the defined as code cloud infrastructure. Project management/Tracking I am used to daily reporting and knowing that communication is the key, I constantly try to improve clients' experience. I know best methods in version control and I conform to them, doing PRs, releases, keeping multiple branches, and using stashes. ---- I have automated branching & PR requests, as well as connected bots for notifying about changes in corporate chats.The code I write goes through automatic code-styling processing that improves readability and overall quality of the provided work. I use: ESLint and Prettier for all automated code formatting needs. Respectfully, Olzhas

As a dedicated Full-Stack Developer with a Bachelor of Science in Computer Science from the Stanford University, I bring a robust background in developing dynamic and efficient web applications. With over 20 years of experience in Healthcare IT and Full-Stack Software Development, I help healthcare organizations, medical software vendors, hospitals, laboratories, and healthcare startups build secure, scalable, and compliant solutions. My expertise spans healthcare interoperability, system integration, data exchange, and modern web application development. I have extensive experience working with healthcare standards and technologies including HL7, FHIR, Mirth Connect (NextGen Connect), ETL pipelines, EHR/EMR integrations, healthcare data transformation, interface development, and clinical workflow automation. In addition to my healthcare specialization, I am a highly skilled Full-Stack Developer capable of delivering complete end-to-end solutions from architecture and backend development to modern frontend applications. Healthcare Expertise: • HL7 v2.x Message Processing • FHIR APIs & Integrations • Mirth Connect (NextGen Connect) • EHR/EMR System Integration • Laboratory Information Systems (LIS) • Healthcare Data Migration • ETL Development & Data Transformation • Healthcare Workflow Automation • HIPAA-Aware Solution Development • Healthcare Reporting & Analytics Technical Proficiencies: • Programming Languages: Python, JavaScript, TypeScript, PHP • Backend Frameworks: Django, Laravel, Node.js • Frontend Frameworks: React, Next.js, Angular, Vue.js • Databases: PostgreSQL, MySQL, SQL Server, MongoDB • Integration Technologies: REST APIs, SOAP, HL7, FHIR • DevOps & Infrastructure: Docker, CI/CD, Git, Linux, Nginx, Apache • Architecture: MVC, Microservices, Distributed Systems Why Clients Hire Me: ✓ 20+ Years of Healthcare Industry Experience ✓ Deep Understanding of Clinical and Administrative Workflows ✓ Proven Expertise in Healthcare Interoperability ✓ Full-Stack Development from Concept to Deployment ✓ Strong Communication and Project Leadership Skills ✓ Focus on Scalable, Secure, and Maintainable Solutions Whether you need healthcare integrations, HL7/FHIR interfaces, Mirth Connect development, ETL solutions, EHR connectivity, or a complete healthcare web platform, I can help deliver reliable solutions that meet your business and technical goals. Let's build healthcare technology that improves efficiency, interoperability, and patient outcomes.

I am a Senior DevOps Engineer with 10+ years of hands-on experience in architecting, automating, securing, and optimizing mission-critical cloud infrastructure for startups, SaaS platforms, fintech companies, healthcare systems, and enterprise-scale applications. I specialize in building highly available, scalable, secure, and cost-optimized infrastructure across AWS, AZURE, GCP, and Kubernetes environments. I have successfully designed and managed large-scale infrastructures containing hundreds of microservices running on single and multi-cluster Kubernetes environments. My expertise extends beyond traditional DevOps into DevSecOps, Cybersecurity, Compliance, MLOps, AI Infrastructure, and Agentic AI deployment systems. I help businesses with: ✔ Cloud Architecture & Infrastructure Design ✔ Kubernetes Architecture (EKS, GKE, Multi-Cluster, Multi-Tenant) ✔ CI/CD Pipeline Design & Automation ✔ DevSecOps Implementation ✔ Infrastructure as Code (Terraform, Ansible) ✔ MLOps & AI Model Deployment Infrastructure ✔ LLM Infrastructure & Agentic AI Deployment ✔ Security Hardening & Compliance Readiness ✔ Cost Optimization & Performance Tuning ✔ Monitoring, Logging & Incident Response ✔ Disaster Recovery & High Availability Architecture Core Expertise: ☑ AWS Architecture & Operations VPC, ELB/ALB, API Gateway, AWS Lambda, Cognito, EKS, EC2, Route53, RDS, IAM, Auto Scaling, CloudFront, EBS, EFS, CloudWatch, ACM, SES, SQS, SNS, WAF, Security Hub, GuardDuty, Secrets Manager, Organizations, Control Tower ☑ GCP Architecture & Operations VPC, VPC Peering, Shared VPC, Cloud Run, GCE, GKE, CloudSQL, BigQuery, Dataflow, Pub/Sub, Cloud DNS, GCS, IAM, Cloud Armor, Security Command Center, Load Balancing, Artifact Registry, Monitoring ☑ DevSecOps & Cybersecurity IAM Security, Zero Trust Architecture, Vulnerability Management, Container Security, Kubernetes Security, Secret Management, SIEM Integration, WAF, DDoS Protection, Security Audits, CIS Benchmarking, Policy Enforcement, SOC Monitoring ☑ Compliance & Governance HIPAA, GDPR, SOC 2, PCI-DSS, ISO 27001, FinTech Compliance, Healthcare Compliance, Audit Readiness, Security Documentation, Risk Assessment, Governance Controls ☑ Infrastructure as Code Terraform, Terragrunt, Ansible, CloudFormation, Pulumi, Docker ☑ Containerization & Orchestration Kubernetes, Helm, Kustomize, Docker, Docker Swarm, Docker Compose, ArgoCD, GitOps, Service Mesh, Ingress Controllers ☑ CI/CD & Automation GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure DevOps, ArgoCD, Atlantis, SonarQube, Automation Pipelines ☑ MLOps / AI / Agentic AI ML Infrastructure, Model Deployment, GPU Workloads, Kubeflow, ML Pipelines, LLM Deployment, Vector Databases, RAG Infrastructure, AI Agents Deployment, AI Ops, Model Monitoring ☑ Monitoring / Observability Prometheus, Grafana, Datadog, ELK Stack, Sentry, Jaeger, OpenTelemetry, Loki, AlertManager, Incident Management ☑ Linux System Administration Ubuntu, Debian, CentOS, RedHat, System Hardening, Performance Optimization, Shell Scripting ☑ High Performance Web Services Nginx, Apache, Tomcat, Varnish, HAProxy, Load Balancers, Reverse Proxy Optimization ☑ Database & Data Infrastructure PostgreSQL, MySQL, MongoDB, Redis, Cassandra, Elasticsearch, Replica Sets, Performance Tuning, Backup Strategies ☑ Source Control & Collaboration GitHub, GitLab, Bitbucket, Azure DevOps ☑ SSL / CDN / DDoS Mitigation Cloudflare, Let’s Encrypt, AWS Shield, WAF, CDN Optimization Why Clients Hire Me: ✔ Fast problem-solving under pressure ✔ Production-grade infrastructure expertise ✔ Security-first architecture mindset ✔ Strong communication & ownership ✔ Long-term scalable solutions, not temporary fixes ✔ Deep understanding of startup and enterprise environments

A Cloud Platform Architect and Principal DevOps Engineer with over 15 years of hands-on experience in architecting custom AWS solutions and mastering infrastructure automation with Terraform for diverse clients My background spans AWS architecture, DevOps automation, and application development, with a consistent focus on security, scalability, and efficiency On the application side, I develop React/NextJS frontends and Python/FastAPI or Laravel backends, with secure API integrations and automated deployment pipelines I've delivered greenfield SaaS platforms, enterprise cloud migrations, IoT testing systems, and custom marketplace products that continue to generate recurring revenue My experience includes AWS services, multi-account landing zones, Terraform, CloudFormation, OpenTofu, and CI/CD pipelines using GitHub Actions, Jenkins, and CircleCI Built the containerised and serverless platforms, integrated observability with Datadog, CloudWatch, and New Relic, and implemented cost governance and compliance through FinOps and SecOps practices Some examples of results include: • Migrated multiple data centres to AWS, eliminating hardware dependencies and saving over $1.2M in annual OPEX • Built an autoscaling IoT testing platform processing thousands of daily mobile app tests on real devices using AWS Batch and S3 • Designed and launched a SaaS marketplace product with reusable Terraform frameworks, centralised observability, and integrated security guardrails Suppose you are looking for an engineer who can move seamlessly between AWS platform architecture, DevOps automation, and full-stack development In that case, I can help you deliver reliable systems and lasting results

Most teams don’t fail because their cloud isn’t powerful enough — they fail because their infrastructure isn’t predictable, automated, or observable. A lot infrastructure problems don’t show up at scale — they show up when teams can’t ship, costs spiral, or reliability becomes a blocker to growth. That’s where I come in. I’m Damipe (D1), a Platform Engineer who builds cloud foundations that help product teams move faster without sacrificing security, reliability, or cost control. My work sits at the intersection of AWS, GCP, Azure Terraform, CI/CD, Kubernetes, and developer experience. Instead of treating infrastructure as a support function, I design platforms that: • Enable self-service infrastructure with safe defaults • Make deployments boring, repeatable, and auditable • Reduce cloud spend through clear architecture and cost awareness • Remove friction between product, security, and operations teams I’ve worked across cloud architecture, CI/CD pipelines, release reliability, and automation, helping teams turn ideas into production systems that leadership can trust and understand. My mission is simple: eliminate manual friction, strengthen reliability, and help teams move faster with confidence. Over the years, I’ve led initiatives that: * Reduced deployment time by 90% through Infrastructure as Code with Terraform & Pulumi. * Increased platform uptime to 99% through proactive monitoring using CloudWatch and Prometheus, while implementing automated, cost-optimized scaling to balance reliability and spend. * Improved database efficiency by 90%, tuning AWS RDS and integrating automated backups.Cut manual effort by 80%. *Cut Cloud Cost by 50% By Rightsizing resources while maintaining system reliability. But I didn’t start as a cloud expert. My journey began in network engineering, troubleshooting real-world systems where downtime meant everything. That hands-on experience shaped how I approach cloud reliability today — blending automation, observability, and strong network fundamentals to ensure every system I design performs at scale. Here’s a quick look at my focus areas: • Who I help: Teams scaling AWS environments or maturing DevOps pipelines • Problems I solve: Infrastructure drift, deployment bottlenecks, unreliable systems • Outcomes I deliver: Faster releases, higher uptime, and efficient cloud operations. If you’re building something ambitious — let's connect & build solutions that solves real world problem

I am a Python and AWS Engineer with 9.5 years of IT experience and 5+ years building AI-powered applications using LLMs, LangChain, RAG architectures, vector databases, and AWS cloud services. I help startups and enterprises design, develop, and deploy scalable cloud-native applications, backend APIs, automation solutions, and AI systems that are secure, reliable, and production-ready. Services I Offer: ✅ AI & LLM Applications • RAG (Retrieval-Augmented Generation) systems • LangChain and Agent-based workflows • AI Chatbots and Document Q&A systems • Vector Databases (Pinecone, ChromaDB, OpenSearch) • Amazon Bedrock integrations ✅ Python Backend Development • FastAPI & Flask APIs • REST API development • Microservices architecture • Data processing and automation • Integration with third-party systems ✅ AWS Cloud & Serverless • AWS Lambda • API Gateway • S3, DynamoDB, RDS • SQS, SNS, EventBridge • IAM, VPC, Secrets Manager • OpenSearch • Terraform, CloudFormation & Infrastructure as Code ✅ AWS Connect Contact Center Solutions • Contact Flows • Salesforce Integration • Omnichannel Solutions • IVR Development • Analytics Dashboards • Self-Service Bots Recent Project Highlights: ✔ Built AI-enabled backend systems supporting 10,000+ daily users. ✔ Developed production-grade RAG applications using LangChain and vector search. ✔ Designed knowledge graph solutions using Neo4j for intelligent data retrieval. ✔ Built serverless AI chatbots using Amazon Bedrock and Pinecone. ✔ Architected scalable AWS event-driven microservices and REST APIs. Why Clients Work With Me: • Clear and proactive communication • Clean, maintainable code • Scalable architecture design • On-time delivery • Long-term support and collaboration Whether you need an AI application, AWS serverless solution, custom API development, or cloud architecture consulting, I can help you build a reliable and scalable solution from concept to production. Let's discuss your project requirements and find the best technical approach for your business.

I am a Splunk Certified Architect. I have experience in capacity planning, deploying, configuring, and managing Splunk Env. And I have a proven record of providing 99.9% SLA of Splunk Env. And good at troubleshooting issues of Splunk Env, Universal Forwarders, etc. And as I am also a Splunk Certified Developer. I have good hands-on on creating complex Splunk dashboards using HTML, XML, Tokens, custom Javascript to make Splunk Dashboard more dynamic. And creating and optimization of Splunk Queries. Also, I have developed various Splunk Add-on and Apps and some of them are also published on SplunkBase. Apart from Splunk, I have a good understanding and grip on AWS and its various services, Jenkins, Git, Python, Shell Script, Automation, Ansible.

Hello! I’m Senior developer with over 10 years of professional experience building enterprise-grade applications, RESTful microservices, and cloud-native solutions. I have successfully delivered projects for clients across Europe, the UK, Australia, India, South Africa, and the USA. ✅ Languages: Java (8–25), Kotlin, Groovy, Python, Node.js, TypeScript ✅ Back-End: Spring Boot, Spring Cloud, Spring Security, Micronaut, Camel, Express.js, NestJs ✅ Front-End: Angular, Vue.js, Nuxt, HTMX, Tailwind CSS, Bootstrap ✅ Databases: PostgreSQL, MySQL, Oracle, MongoDB, Redis, DynamoDB ✅ Cloud & DevOps: AWS, CDK, Cloudformation, ECS, API Gateway, Lambda, Cognito, DynamoDB, Azure, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Cloudflare ✅ Architecture: Clean Architecture, Hexagonal, Domain-Driven Design DDD, Microservices, Monolith ✅ Messaging: Kafka, RabbitMQ, ActiveMQ, Artemis ✅ Monitoring: Grafana, Kibana, Datadog ✅ APIs: REST, SOAP, gRPC, GraphQL, Websocket, SSE, tPRC ✅ Build & Tooling: Maven, Gradle, Flyway, Liquibase ✅ Other: Jhipster, Gen Ai, Agentic Ai, Hermes Agent, SDD, TMUX ✅ Opensource contribution to popular opensource projects like FlowiseAi, AWS PDK, Mongock, Jhipster lite and Jhipster Main generator. You can confidently entrust me with your project and you will not be let down by our collaboration. I assure you of my strong sense of responsibility and the high standard of the work I deliver, which you can rely on once I become part of your team.

PROGRAMMING TECHNOLOGY EXPERTISE * Python ,Django, FastAPI,Flask,Selenium,Rest API * React.js, Next.js, Vue.js ,Angular * React Native * Flutter DEVOPS & CLOUD & CYBER SECURITY EXPERTISE * AWS Cloud Solution design and developmpent * Opensearch , Elasticsearch, Kibana, Logstash based setup, configuration and development integration * Ansible * Docker * Jenkins * GitLab Based CI-CD * Prometheus and grafana * SIEM * Surikata/Snort * Bro(zeek) * Hashicorp vault * Cyber Security Project Related development and consultation. * Kong api gateway integration

𝐒𝐞𝐧𝐢𝐨𝐫 .𝐍𝐄𝐓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 | 𝐀𝐒𝐏.𝐍𝐄𝐓 𝐂𝐨𝐫𝐞 · 𝐀𝐳𝐮𝐫𝐞 · 𝐒𝐚𝐚𝐒 · 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 · 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 If you need a .NET system that actually scales, not just one that works today, you're in the right place. I help startups and enterprises design, build, and modernize web applications, cloud platforms, and APIs using C#, ASP.NET Core, and Microsoft Azure, with 11 years of experience turning complex business problems into clean, maintainable software. 𝐖𝐡𝐚𝐭 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐜𝐨𝐦𝐞 𝐭𝐨 𝐦𝐞 𝐰𝐢𝐭𝐡: A legacy .NET Framework or MVC app that needs modernization to .NET 8/9 or Azure A SaaS product idea that needs to be architected from scratch with multi-tenancy, auth, and scalable APIs A backend that's slowing under load and needs refactoring, query optimization, or cloud migration A DevOps bottleneck, no CI/CD pipeline, manual deployments, fragile release process An enterprise integration project, third-party APIs, payment gateways, ERP connectors, or real-time data workflows 𝐈'𝐯𝐞 𝐬𝐨𝐥𝐯𝐞𝐝 𝐚𝐥𝐥 𝐨𝐟 𝐭𝐡𝐞𝐬𝐞. 𝐇𝐞𝐫𝐞'𝐬 𝐡𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: --𝐁𝐚𝐜𝐤-𝐄𝐧𝐝 & 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧 C#, ASP.NET Core (2.0–9.0), Web API, gRPC, SignalR, Blazor Server and WASM, clean architecture, CQRS, repository pattern, microservices, I don't just write code, I design systems that are easy to extend six months later. --𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐀𝐳𝐮𝐫𝐞 & 𝐀𝐖𝐒 Azure App Services, Functions, Logic Apps, Service Bus, Key Vault, Blob Storage, Azure SQL, Cosmos DB. AWS: EC2, S3, RDS, Lambda. I design cloud-native architectures that are cost-aware, secure, and production-ready from day one. --𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐈/𝐂𝐃 Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins, Bitbucket Pipelines, Docker, Kubernetes. I set up automated build and release pipelines so your team ships faster with fewer surprises. Front-End Angular (v2–v19), React.js, TypeScript, Tailwind CSS, Material UI, Bootstrap, full-stack delivery when your project needs it. Databases SQL Server, Azure SQL, PostgreSQL, MySQL, MongoDB, Cosmos DB, Entity Framework Core (6/7/8), stored procedures, query optimization. I've rescued databases drowning in N+1 queries and missing indexes. Integrations & Security REST APIs, OAuth2, JWT, SSO, Stripe, PayPal, Authorize.Net, SendGrid, Twilio, WebSockets, OpenAPI/Swagger. --𝐀𝐈-𝐀𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I integrate AI APIs and LLM-powered features into .NET applications ,from OpenAI-based document processing to intelligent automation workflows, helping you ship smarter products without building an ML team. 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐦𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐟𝐫𝐨𝐦 𝐨𝐭𝐡𝐞𝐫 .𝐍𝐄𝐓 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤: I've led development teams, architected systems from greenfield to enterprise scale, and mentored junior developers across startup and Fortune 500 environments. I don't disappear after handing over code,, I think about long-term maintainability, onboarding cost, and your next developer's experience. I communicate clearly, give proactive updates, flag risks early, and deliver on time. I've worked across healthcare, fintech, residential management, and enterprise SaaS, I understand that your software isn't just a technical project, it's a business product. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐬𝐞𝐫𝐯𝐞𝐝: Healthcare · Fintech/Payments · Residential & Property Management · Enterprise SaaS · E-commerce · Internal Tooling 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐦𝐨𝐝𝐞𝐥𝐬: Long-term retainer · Project-based · Team augmentation · Project rescue · Architecture consulting 𝑳𝒆𝒕'𝒔 𝒕𝒂𝒍𝒌 𝒊𝒇 𝒚𝒐𝒖 𝒏𝒆𝒆𝒅 𝒂 𝒔𝒆𝒏𝒊𝒐𝒓 .𝑵𝑬𝑻 𝒆𝒏𝒈𝒊𝒏𝒆𝒆𝒓 𝒘𝒉𝒐 𝒃𝒓𝒊𝒏𝒈𝒔 𝒃𝒐𝒕𝒉 𝒕𝒆𝒄𝒉𝒏𝒊𝒄𝒂𝒍 𝒅𝒆𝒑𝒕𝒉 𝒂𝒏𝒅 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒕𝒉𝒊𝒏𝒌𝒊𝒏𝒈 𝒕𝒐 𝒚𝒐𝒖𝒓 𝒑𝒓𝒐𝒋𝒆𝒄𝒕.