UI-focused frontend engineer (middle level) with a clear strength in building polished, responsive landing experiences and a custom client-side i18n solution. The strongest proven skill is the custom i18n engine that handles locales, RTL, DOM text replacement and persistent language selection (Amatis-dev/landing/assets/js/i18n.js). There is limited evidence of complex state management, automated testing, server-state handling or advanced build/tooling in the public code.

I'm a Network Engineer focused on building and automating large-scale, resilient network infrastructure across data centre, enterprise, cloud, and hybrid environments. I specialise in network automation, infrastructure reliability, cloud connectivity, and solving complex operational problems through software and automation. I have hands-on experience designing and operating multi-vendor networks, automating network and security operations with Python, Ansible, and Terraform, and building integrations with network devices, APIs, IPAM, and infrastructure platforms. My experience includes Cisco ACI and Nexus, BGP, VPN/IPsec, AWS and Azure networking, Kubernetes networking, Cilium/eBPF, NetBox, Nautobot and network observability.

Senior iOS Engineer with 6+ years of experience building native iOS applications, SDKs, and scalable mobile platforms. Background includes fintech, retail, ad-tech, iGaming, and white-label products, with work spanning performance improvements, modular architectures, and release automation. Strong collaboration in Agile teams with a focus on reliability through testing, CI/CD, and App Store release management.

Senior .NET engineer with 12+ years of experience across the SDLC, including design, development, deployment, migration, maintenance, and user support. Builds REST-based services and integrations with SQL Server and Azure, and has CI/CD experience using Azure DevOps and Jenkins. Frequently leads and mentors teams, supports technical quality through reviews, and collaborates with cross-functional stakeholders in Agile environments.

Frontend-focused web developer at a junior level with strongest grounding in building React/Next-based UI projects and client-side integrations. Proven skill: client-side HTTP integration using Axios as shown in multiple frontend files and package.json dependency listings. Not evidenced: any original backend engineering such as API design, transactional data-layer code, migrations, queue consumers or production-grade observability in human-owned files.

iOS engineer (early career) with a strong focus on algorithmic problem solving in Swift. This strength is proven by many concise Swift solutions such as the time-based key-value store implementation in Data Structures & Algorithms/time-based-key-value-store/submission-6.swift. There is no evidence of app-level work such as UI, lifecycle handling, background tasks, offline sync, or release/CI pipelines in the public human-authored code.

Senior backend engineer and tech lead with 16+ years of experience building scalable systems and microservices. Has deep experience with DDD and event-driven architectures, and leading cross-functional engineering teams with strong emphasis on reliability, maintainability, and observability. Recently focused on backend/API development using Node.js/TypeScript and SQL/NoSQL databases, including PostgreSQL, Redis, Kafka, and RabbitMQ.

Senior software developer focused on mobile (native iOS) and full-stack product engineering. Experienced delivering production iOS apps and building web and backend systems using Java/Spring Boot and Angular/TypeScript. Builds AI-powered products including LLM integrations and GenAI SaaS using cloud services on Google Cloud Platform.

Entry-level QA-focused generalist working with JavaScript projects, assessed at an Intern level with a primary strength in dependency maintenance and security updates. The clearest concrete artifact is the presence of multiple automated Snyk dependency-upgrade pull requests touching package.json and package-lock.json that show attention to dependency security. There is no human-authored source, test code, CI parametrization, or domain-specific logic available to evaluate test automation, API contract testing, performance engineering, or system design.

Senior Software Engineer with 8+ years building scalable distributed systems across full-stack web and AI-integrated workflows. Experience leading architecture for multi-tenant SaaS platforms, implementing event-driven backend services, and integrating LLM-powered automation with structured output pipelines. Strong hands-on background in React/Next.js, Node.js/Python services, AWS-based backend processing, and production testing and CI/CD.

App-focused frontend engineer (middle level) specializing in building stateful React and Next.js business applications. The strongest proven skill is client-server state and data-flow design as demonstrated by the React Query hooks and invalidation logic in Cringenut/tapi-frontend/features/staff/hooks/useStaffAvailability.ts and the centralized reducer/context in Cringenut/ProductManagementApp/src/app/context/ProductContext.js. The public code has limited measured performance work, limited accessibility engineering and lacks automated tests or advanced cross-browser and internationalization handling.

Software Engineer with 2+ years experience building Front-end application using React, Typescript, NextJS and started Full-stack journey in Java.

Java Software Engineer with 1.5+ years of professional experience building and maintaining enterprise backend services. Worked on distributed systems tooling for tracing and operational diagnostics, improved production deployment and reliability, and supported incident response. Previously developed features for enterprise banking applications using Java with SQL and DB2.

Full Stack Software Engineer with 3+ years of experience building enterprise web applications in the .NET ecosystem. Experience includes developing Angular front ends, designing REST APIs, and optimizing SQL Server performance in production systems. Also completed an MSc data science dissertation using Python, TensorFlow, and SHAP for patient length-of-stay prediction.

Senior .NET Engineer | TireCheck | Feb 2021 – Present | Ennis, Ireland (hybrid) Working on a global IoT SaaS platform for tyre pressure monitoring and fleet intelligence, serving 25K+ active B2B users across 48 countries. Key responsibilities and contributions: - Migrated legacy .NET Framework monolith to hybrid Azure cloud architecture (Functions, Event Hubs, Service Bus), introducing message-driven design to decouple ingestion, processing, and reporting layers for independent scaling. - Developed a background scheduler service automating recurring tasks and subsequently migrated core functionality to Azure Functions. - Built resilient data ingestion pipelines for real-time IoT sensor telemetry, handling high-volume concurrent streams with validation and retry logic. - Optimised heavyweight reports through query rewriting, indexing, and read replica databases — eliminating production performance bottlenecks. - Designed and delivered a REST API layer enabling third-party integrations. - Implemented multi-tenant RBAC and client onboarding workflows for enterprise fleet operators across 48+ countries. - Refactored and consolidated domain models into a shared core layer. Tech stack: C#, .NET Core, ASP.NET Core, Azure Functions, Event Hubs, Service Bus, MSSQL, Redis, Entity Framework, Git

Senior Android Developer with 11+ years of experience in Java, Kotlin, React Native, and Jetpack Compose, delivering scalable and high-performance mobile applications. Worked across diverse industries, building and optimizing mobile solutions for Indian, European, and American enterprises. Currently at Luxoft, contributing to the modernization of United Airlines’ internal Android application, leading development using Kotlin and Jetpack Compose with a focus on performance, maintainability, and modern UI architecture. Previously at Capgemini (Poland), developed an internal React Native application to generate employee biodata in PPT format. Played a key role in decoupling core business logic, worked extensively with React Native, and implemented Cosmos DB with Azure HTTP Triggers as part of cloud-based learning initiatives. At IBM, contributed to Barclays’ banking application, supporting its migration to a microservices architecture, improving code quality, enhancing stability, and aligning with enterprise banking standards. At Reliance Industries Ltd (Mumbai, India), worked on JioPOS, a large-scale digital onboarding and recharge platform. Led a module for digital user verification using Government authentication APIs with Async APIs in Java. Implemented APK security measures including HP RUM, SSL pinning, ProGuard, and encryption, and provided critical production support. Successfully enabled digital re-verification of 1.7 million users via eKYC. Strong experience in building applications from scratch, API integrations, performance optimization, and technical leadership.

Frontend web developer (Middle) specializing in React-based UI and small-scale full-stack CRUD features. The strongest proven skill is building interactive CRUD flows with Firebase as shown by note-keeper/src/Firebase.js and the AddNote/Notes/Note components. There is little to no evidence of test strategy, contract or performance testing, CI test integration, or documented bug analysis in the public artifacts.

LLM-focused engineer at a senior level specializing in building small production LLM-powered scoring services and applied ML pipelines. The strongest proven skill is implementing an async LLM scoring API with structured Pydantic models, retry/backoff, caching and persistence as shown in src/infrastructure/llm_client.py, src/application/scoring.py and src/infrastructure/db.py. There is no public evidence of large-scale distributed training, GPU/quantization optimizations, or mature production observability and drift-monitoring systems.

DevOps/SRE engineer with experience building CI/CD pipelines, cloud infrastructure, and Kubernetes-based deployment workflows to improve reliability, scalability, and secure operations. Works across observability and incident response using Prometheus, Grafana, Datadog, and Splunk, with SLO-driven alerting and automation. Experienced with infrastructure as code in Terraform and major cloud platforms including AWS and Azure.