Hire the Top 2% of
Remote Foundation Developers

Anton S.

Vetted Foundation developer in Switzerland (UTC+1)

I am an entrepreneur with a passion for software architecture, innovation, and IT management. I excel at staying current with new technologies and leveraging legacy systems to drive business transformation. Proactive problem-solving and independent research are at the core of my approach to decision-making. I am dedicated to adding value to businesses through my work, and I am always thinking about the future of my projects.

Donald O.

Vetted Foundation developer in the United States (UTC-5)

Currently residing in Philadelphia, PA

Drew S.

Vetted Foundation developer in the United States (UTC-5)

Dynamic Software Developer with over 17 years experience in writing code, managing large-scale projects, and continuing to develop new skill sets through education and professional development. Proven track record of boosting team efficiency, improving internal systems, and delivering quality work.

Sumesh S.

Vetted Foundation developer in the United States (UTC-5)

Experienced Cloud Architect & Data Strategist | Driving Digital Transformation for 18+ Years With over 18 years of dedicated experience in IT, I've been at the forefront of revolutionizing businesses through cutting-edge cloud solutions and data architecture. My expertise lies in seamlessly migrating and modernizing applications, leveraging the power of Azure to drive unparalleled efficiency and innovation. Cloud Mastery: Throughout my career, I've spearheaded numerous successful cloud migration projects, helping organizations harness the full potential of Azure. I excel in crafting bespoke cloud strategies tailored to each client's unique needs, ensuring smooth transitions and optimized performance. Application Modernization: I specialize in revitalizing legacy applications, breathing new life into outdated systems through modernization initiatives. By leveraging the latest technologies and best practices, I empower businesses to stay agile and competitive in today's dynamic market landscape. Data Architecting Excellence: As a seasoned data architect, I've played a pivotal role in architecting robust data solutions using Azure Databricks. From data ingestion to processing and analytics, I design scalable and resilient architectures that unlock valuable insights and drive informed decision-making. Strategic Leadership: I thrive in dynamic environments, adept at leading cross-functional teams towards a common vision. Whether it's aligning stakeholders, mitigating risks, or driving organizational change, I bring a strategic mindset and a collaborative approach to every project. Continuous Innovation: Passionate about staying at the forefront of technology trends, I remain committed to continuous learning and innovation. By staying abreast of emerging tools and methodologies, I ensure my clients always benefit from the latest advancements in cloud and data solutions. If you're seeking a seasoned professional with a proven track record of delivering transformative results, let's connect. Together, we can drive your digital transformation journey to new heights.

Karl A.

Vetted Foundation developer in the United States (UTC-6)

With over 20 years of IT industry experience, I understand a wide variety of businesses and their unique needs.

John P.

Vetted Foundation developer in the United States (UTC-7)

I am an experienced full-stack Software Architect ([iDesign.net](http://idesign.net/) trained since 2013) and C#/.Net (Core) Developer specializing in the Microsoft ecosystem of frameworks and toolchains. My over 25 years of experience working with and integrating heterogeneous technologies and companies worldwide is my foundation for understanding how business requirements translate into technical requirements, deliverables, and meaningful applications. I recently designed and implemented a platform to serve quantitative financial market trading. The overall system consisted of a collection of Aspnet.core microservices deployed as Lunix \[Docker\] containers in Azure. These flexible, loosely coupled services utilize the open-source Mass Transit framework to abstract away bus/queue/broker technologies such as Azure Service Bus and RabbitMQ. I transitioned the Angular (front-end) work to Blazor, which allowed me to deliver real-time, data-driven, and reusable user interface components in less time. Services integrate with Oauth2/OpenID, use encryption, and communicate using custom REST APIs, queues/brokers (e.g., Azure Service Bus), GRPC, and SignalR/WebSockets. Data storage (structured/unstructured) is accomplished mainly with SQL Server, Cosmos DB (NoSQL) and Blob Storage. Scalable clusters designed around Azure Service Fabric were used for data-intensive analysis using the actor compute model. Real-time data feed integrations (e.g., [Polygon.io](http://polygon.io/), [Xignite.com](http://xignite.com/)) and all internal and external APIs are abstracted using custom client HTTP libraries and were published as NuGet packages for use anywhere on the platform. The code that ties everything together is modern, cross-platform C# (.NET Core) version 7. Loose coupling, evolvability, and rapid go-forward feature development goals are enabled by a combination of architectural design choices, starting with a volatility-based domain decomposition, utilizing enterprise patterns such as Domain Drive Design (DDD) and CQRS, and applying sound software design patterns and principals. The platform is currently being utilized for live trading at a hedge fund as of Q3 2023.

Bummy A.

Vetted Foundation developer in the United States (UTC-5)

I have an exceptional understanding of Data Engineering, Business Intelligence Data Warehouse, and Salesforce concepts. I possess profound knowledge of databases and cloud formation services. I am skilled in SQL writing, analytical skills, and reporting and dashboard development. I have experience in ETL processes and integrating and configuring partner connection apps. I am knowledgeable in Salesforce Sales Cloud and have experience in data modeling and data quality. I have worked as an Application Developer/ETL, Marketing Data Engineer, Data Engineer/Salesforce Admin Consultant, ETL Developer/Data Engineer, and ETL Developer. I have a Master's degree in Information Technology and certifications in Salesforce Admin and AWS Solution

Kritul R.

Vetted Foundation developer in the United States (UTC-4)

• 14+ years of enterprise application development, maintenance and migration experience • Ability to look at the bigger picture and think creatively keeping the whole product view • Clear understanding of micro-service architecture and design solutions using various architecture patterns • Extensive Domain Knowledge of Health Care (Specialty Care, Pharmaceutical) • Strong technical knowledge in Microsoft .NET framework, C#, MVC, WCF and ASP.NET coding • Constructed a RESTful API to manage infrastructure services using C#. • Excellent knowledge of source control concepts such as Branching, Merging, Labeling/Tagging and Integration • Develop Clean Code using architectural patterns, principles of Functional and Object Oriented paradigm, with SOLID Proven track record of wearing many hats to get the job done • Worked on SDLC Methodologies like Agile (Scrum, Kanban), Waterfall, and other processes. • I am detail-oriented, self-motivated, team oriented professional who can work independently, also I am confident of my ability to quickly learn and implement modern technologies • Team player with the ability to work in a fast-paced environment

Phil J.

Vetted Foundation developer in the United States (UTC-5)

Enterprise Architect with over 20 years of experience in software development. Architect and Senior Developer on complete system rebuild of a 401(k) Administration and Recordkeeping system. Designed and implemented system to Azure while building a DevOps team to support automated deployments.

Philip B.

Vetted Foundation developer in the United States (UTC-4)

**PROFESSIONAL SUMMARY** Visionary Principal Engineer and Architect leveraging **25+ years of deep software engineering expertise** to design, build, and deploy sophisticated AI/ML solutions and high-performance systems. Proven ability to architect robust, scalable applications and integrate advanced AI/ML techniques (LLMs, predictive modeling, computer vision) using Python, TensorFlow, PyTorch, and C++. Expertise spans the full development lifecycle, from data analysis and model development to MLOps practices for efficient deployment and monitoring on cloud platforms (AWS, Azure). Adept at translating complex business requirements into impactful, data-driven solutions that drive significant user engagement (e.g., 45% increase) and operational value across diverse sectors including finance, government, healthcare, and industrial automation. An established leader skilled in defining technical strategy, driving AI innovation, mentoring engineering teams, and championing responsible AI development. My extensive background ensures the delivery of reliable, maintainable, and scalable AI systems, making me a significant asset for organizations embracing AI transformation. **CORE EXPERTISE** **AI/ML MODELING, DEPLOYMENT & DATA SCIENCE** **AI/ML Model Development & Integration:** Architected and integrated Large Language Models (LLMs) using OpenAI GPT-4 APIs and applied fine-tuning techniques to adapt models for specific enterprise needs. Developed custom machine learning models (classification, regression) for intelligent automation, dynamic content generation, and adaptive system behavior, measurably improving task completion rates by over 30%. **Predictive Analytics & Behavioral Modeling:** Implemented advanced statistical models and ML algorithms (Python, TensorFlow, PyTorch) analyzing complex user interaction patterns across various platforms. Developed predictive engagement models that successfully increased average session time by 67% and user retention by 42% through data-driven feature optimization. **MLOps & Scalable Deployment:** Designed and implemented end-to-end CI/CD pipelines (leveraging tools like GitHub Actions) specifically for machine learning workflows, automating model testing, validation, and deployment. Established robust monitoring frameworks (potentially using tools like Prometheus/Grafana concepts) to track model performance, detect drift, and ensure operational reliability in production. Deployed models efficiently as scalable APIs and microservices. **Data Analysis & Interpretation:** Highly proficient in collecting data from diverse sources (APIs, databases, logs), performing rigorous cleaning and preprocessing using Python (Pandas, NumPy), and conducting Exploratory Data Analysis (EDA) to uncover underlying trends. Utilized SQL extensively for querying and manipulating large datasets to inform model development and strategic decision-making. **Cloud AI Services:** Leveraged major cloud platforms (AWS, Azure) for scalable model training, deployment, and management. Utilized specific services like AWS SageMaker for end-to-end ML lifecycle management, Azure Machine Learning for experimentation and deployment, and associated data storage/processing tools (e.g., S3, Azure Blob Storage, potentially EMR/Databricks concepts) for handling large-scale data. **Personalization & Recommendation Systems:** Created adaptive systems using vector embeddings (utilizing databases like Pinecone, Chroma) and real-time behavior analysis to dynamically personalize user experiences and content recommendations, achieving a 35% uplift in conversion rates.● **Computer Vision Applications:** Engineered computer vision systems using TensorFlow and PyTorch for applications such as automated UI testing and accessibility validation, demonstrably reducing manual Quality Assurance effort by 50%. **Responsible AI Practices:** Actively implemented techniques for bias detection and mitigation during model development phases. Ensured deployed solutions incorporated model transparency where appropriate and adhered to data privacy regulations and ethical AI guidelines. **ADVANCED SOFTWARE ARCHITECTURE & ENGINEERING** **High-Performance Computing & Optimization:** Engineered real-time, high-throughput systems maintaining 120fps+ performance via WASM acceleration (using Rust/C++), advanced memory management, and optimized algorithms. This demonstrates expertise in performance-critical development directly applicable to demanding AI model inference and data processing workloads. **Robust System Design:** Architected and led the development of enterprise-scale TypeScript and Python codebases, implementing advanced design patterns (e.g., microservices, event-driven architecture) and ensuring high test coverage, resulting in significantly reduced production bugs (78% reduction noted in prior roles) and showcasing the ability to build reliable AI infrastructure. **Edge Computing & Distributed Systems:** Leveraged edge functions (Vercel, Cloudflare Workers, Lambda@Edge) and designed distributed architectures to achieve low-latency global application performance, relevant for deploying AI models closer to users or data sources for real-time processing. **API Design & Integration:** Extensive experience designing, building, and maintaining secure, scalable REST and GraphQL APIs, crucial for decoupling systems and operationalizing AI models by making them accessible to other applications and services. **TECHNICAL LEADERSHIP & TEAM DEVELOPMENT** **Strategic Mentorship & Team Growth:** Consistently led, mentored, and scaled cross-functional engineering teams (5-20 members) in distributed environments. Established and enforced robust coding standards, architectural best practices (including AI/ML development workflows), and fostered a culture of innovation, continuous learning, and technical excellence. **Cross-Functional Strategy & Collaboration:** Successfully partnered with product management, UX/UI design, data science, and backend engineering teams to define technical roadmaps, translate business requirements into technical specifications, and deliver cohesive, AI-enhanced user experiences aligned with strategic business objectives. **Technology Modernization Leadership:** Defined and executed technical strategies for migrating complex legacy systems to modern architectures (React, TypeScript, Cloud/Edge), successfully incorporating AI/ML capabilities while delivering significant performance, scalability, and maintainability improvements across multiple Fortune 500 companies. **TECHNICAL SKILLS** **AI/ML & Data Science:** Python (Expert), R, TensorFlow, PyTorch, Scikit-learn, Keras, Pandas, NumPy, LLMs (GPT-4 API, Fine-tuning, RAG concepts), LangChain, Vector Databases (Pinecone, Chroma), Predictive Modeling, Statistical Analysis, NLP, Computer Vision, MLOps (CI/CD for models, Monitoring, Versioning - e.g., MLflow), Responsible AI Principles, Data Visualization (Matplotlib, Seaborn, Tableau/Power BI familiarity) **Programming Languages:** Python (Expert), SQL (Expert), JavaScript/TypeScript (Expert), C++ (Proficient), Rust (Proficient), Java (Proficient), HTML5, CSS3 **Cloud Platforms & DevOps:** AWS (SageMaker, S3, EC2, Lambda), Azure (Azure ML, Blob Storage, Functions), GCP (Vertex AI familiarity), Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), Serverless Functions, Git **Software Architecture & Tools:** Microservices, API Design (REST, GraphQL), Node.js, React.js, Next.js, WASM, Edge Computing, Testing Frameworks (Pytest, Vitest, Playwright, Jest), Agile (Scrum, Kanban)