Tech Stack

Google Cloud Platform with AI/ML, big data, and container services.

Oracle's cloud platform integrated with enterprise database solutions.

Major cloud provider with strong presence in Asia and comprehensive global services.

Enterprise-focused cloud platform with strong AI/ML and hybrid cloud capabilities.

Developer-friendly cloud platform with simple, cost-effective VPS and managed services.

Domain-specific language for deploying Azure resources declaratively.

Open-source control plane for managing cloud infrastructure across providers.

Native AWS service for infrastructure as code using JSON/YAML templates.

Azure Resource Manager templates for declarative infrastructure deployment.

GCP's native infrastructure deployment service using YAML, Python, or Jinja2.

Azure's native infrastructure management and deployment service.

Pioneer cloud application platform enabling easy deployment and scaling of web applications.

Leading platform for frontend deployment, Jamstack, and serverless functions.

Hybrid and multi-cloud platform for modern application development and management.

Hybrid and multi-cloud management platform extending Azure services everywhere.

Fully managed service extending AWS infrastructure to on-premises environments.

Enterprise hybrid cloud platform combining compute, storage, and networking.

Git-based source code repository with integrated CI/CD pipelines.

Web-based DevOps platform with integrated Git repository and CI/CD.

Git repositories for source control in Azure DevOps.

Configuration management tool using Ruby-based DSL.

Configuration management tool for infrastructure automation.

Managed continuous integration service for building and testing code.

Fully managed continuous delivery service for fast and reliable application updates.

Integrated CI/CD pipelines within GitLab platform.

Open-source automation server for CI/CD pipelines.

Microsoft Windows Server administration and management.

Tool for continuous inspection of code quality and security.

Unit testing framework for Java applications.

Testing framework for Python applications.

Automated web application testing tool.

Tool for creating machine images.

Acropolis Hypervisor for virtualization.

Kernel-based Virtual Machine for Linux virtualization.

Virtualization platform for enterprise environments.

Daemonless container engine for developing, managing, and running OCI containers.

Lightweight Kubernetes distribution.

Tool for bootstrapping Kubernetes clusters.

Kubernetes cluster deployment tool.

Enterprise Kubernetes platform.

Kubernetes management platform.

Distributed Application Runtime for microservices.

GitOps operator for microservices.

Service mesh for microservices.

Service mesh for Kubernetes.

Developer portal platform for managing services and tools.

Kubernetes native policy management engine.

High Performance Computing cluster management.

Design pattern using events to trigger and communicate between services.

Architectural pattern separating core logic from external concerns.

Infrastructure layer for handling service-to-service communication.

Approach to software development centered around business domains.

Federal Enterprise Architecture Framework for government systems.

Open Group Architecture Framework for enterprise architecture.

Framework for enterprise architecture using multiple perspectives.

Design patterns for autonomous AI systems and agent-based architectures.

Design of data systems, storage, and processing frameworks.

Design combining on-premises and cloud infrastructure.

Design of network infrastructure for performance and security.

Service for managing, routing, and securing API requests.

Design for systems that remain operational during failures.

Distribution of network traffic across multiple servers.

Ability to handle increased load and scale resources dynamically.

Engineering practices to ensure system reliability and uptime.

Platforms providing self-service capabilities for developers.

Designing systems for deploying and managing ML models.

Designing systems for monitoring and observability.

Strategies and tools for data backup and disaster recovery.

Designing systems to meet compliance and regulatory requirements.

Role-Based Access Control across cloud providers.

Identity and Access Management across cloud providers.

Privileged Identity Management for secure access to critical resources.

Identity and Access Management across cloud platforms.

Security Assertion Markup Language for identity federation and single sign-on.

Authorization framework for delegated access to resources.

Identity layer on top of OAuth for user authentication.

Management of access authorization policies across cloud platforms.

European data protection regulation compliance practices.

UK Information Security Compliance Framework.

Payment Card Industry Data Security Standard compliance.

Security and privacy controls for federal information systems.

Health Insurance Portability and Accountability Act compliance.

Information security management systems standard.

Cloud services information security controls.

Public cloud personal information protection.

Privacy information management systems.

NIST Cybersecurity Framework for managing cybersecurity risk.

Trust Services Criteria for security, availability, and confidentiality.

Security practices for APIs including OAuth, JWT, and SAML authentication.

Center for Internet Security controls for securing IT systems.

Management of enterprise-wide security policies.

Security model assuming no implicit trust in any network.

Intrusion Detection / Prevention Systems for network security.

Security Information and Event Management for threat detection.

Extended Detection and Response across multiple security tools.

Public Key Infrastructure and certificate lifecycle management.

Transport Layer Security and Secure Sockets Layer protocols.

GCP monitoring, logging, and diagnostics service.

Elasticsearch, Logstash, Kibana stack for log analysis and visualization.

Open-source distributed tracing system for monitoring microservices.

High-volume, minimal-dependency trace storage for Grafana.

Log aggregation system designed for Kubernetes.

Monitoring and analytics platform for cloud-scale applications.

Platform for searching, monitoring, and analyzing machine-generated data.

Open-source observability framework for metrics, logs, and traces.

Incident response platform for on-call management.

Dynamic programming language for web development and server-side applications.

Object-oriented language for enterprise applications and Android.

Object-oriented programming language for .NET applications.

Compiled programming language designed for simplicity and efficiency.

Programming language for iOS and macOS development.

Server-side scripting language for web development.

Domain-specific language for managing relational databases.

Query language for APIs and runtime for executing queries.

Cloud data warehouse for data analytics.

Serverless data warehouse for analytics.

Data warehouse service for analytics.

Integrated analytics service combining data lakes and warehouses.

MySQL and PostgreSQL-compatible relational database.

NoSQL database service for any scale.

Managed relational database service.

Object storage service for any amount of data.

Globally distributed, multi-model database service.

Managed MySQL, PostgreSQL, and SQL Server databases.

Managed MySQL, PostgreSQL, and SQL Server databases.

Cloud database service for MongoDB.

Single data lake for all analytics workloads.

Unified analytics platform powered by Apache Spark.

Data lakehouse platform for self-service analytics.

Advanced open-source relational database.

Community-developed fork of MySQL.

In-memory data structure store for caching and messaging.

Distributed NoSQL database for high availability.

Graph database for connected data.

Time series database for metrics and events.

Distributed search and analytics engine.

Platform for programmatically authoring, scheduling, and monitoring workflows.

Serverless data integration service for ETL operations.

Big data platform for processing large datasets.

Cloud-based data integration service for ETL/ELT workflows.

Unified analytics platform for data engineering and science.

Unified stream and batch data processing.

Code-free data integration and ETL service.

Data governance and catalog management service.

Business intelligence and analytics platform.

Data visualization and business intelligence software.

Digital Imaging and Communications in Medicine standard for medical imaging.

Fast Healthcare Interoperability Resources for healthcare data exchange.

Columnar storage file format for big data processing.

Row-oriented remote procedure call and data serialization framework.

Storage repository for large amounts of raw data.

Architecture combining data lakes and warehouses.

Central repository for structured data analysis.

Database design optimized for transactional operations and real-time data processing.

Database design optimized for complex queries and analytical processing of large datasets.

Ensuring accuracy and reliability of data.

Management of enterprise-wide master data.

Management and oversight of data assets.

Regulatory compliance for data protection.

Decentralized data architecture approach.

Message queues allowing services to send messages to one another.

Data streams used by event-driven architectures and distributed systems to communicate.

Service for event streaming and routing at scale.

Distributed streaming platform for building real-time data pipelines.

Enterprise platform for Kafka including its ecosystem.

Open-source stream processing framework.

Platforms for generative AI including ChatGPT, Anthropic, Grok, Gemini.

Advanced AI models for natural language processing.

Platform for sharing and using pre-trained ML models.

Text-to-Speech synthesis platform.

Speech-to-Text transcription model by OpenAI.

Techniques for detecting presence of human speech.

High-quality Text-to-Speech synthesis system.

Advanced Speech-to-Text transcription system.

Framework for developing applications with LLMs.

Library for building multi-agent LLM applications.

Vector database for AI applications.

Vector database for similarity search.

Vector search engine for AI applications.

Practices for deploying and maintaining ML systems in production.

Techniques for deploying ML models to production.

Continuous monitoring of ML model performance.

Managing different versions of ML models.

Tools and practices for managing ML experiments.

Design and development of autonomous AI agents.

Crafting effective prompts for AI models.

Retrieval-Augmented Generation for improving LLM responses.

ML toolkit for Kubernetes.

ML infrastructure for building and managing ML workflows.

Business operations practices for organizational efficiency.

Security operations for monitoring and responding to security threats.

Collaboration model using chat platforms for operations.

Practices for data management and analytics.

Integration of security practices into DevOps.

Cloud financial management and cost optimization.

Operations using Git for infrastructure management.

GitHub Issues-based operations workflows.

Operations for Large Language Model deployment and management.

Sustainable development and operations practices. (DevSusOps)

User-friendly app for managing and running local LLMs with API integration.

High-throughput library for efficient LLM inference on GPUs.

File format for efficient storage of quantized LLMs on CPUs with metadata support.

Python serialization format for saving model objects, including weights and architecture.

Format for saving numerical arrays, useful for model weights in simple scenarios.

Enterprise resource planning system.

Microsoft Dynamics 365 for ERP and CRM.

Customer relationship management platform.

IT service management and workflow automation.

Non-profit organization supporting Apache projects.

Building REST, GraphQL, and gRPC APIs.

Programming paradigm based on objects and classes.

Programming paradigm based on events and event handlers.

Programming paradigm oriented around data flows and the propagation of change.

Reusable solutions to common software design problems.

Object-oriented design principles.

Principles for writing maintainable code (DRY, KISS, YAGNI).

Architectural patterns for user interface design.

Architecture pattern using events for decoupling.

Software development approach centered around business domains.

Designing applications using serverless computing services.

Best practices across development disciplines.

Quality assurance and software testing methodologies.

Managing software releases and build processes.

Software Development Life Cycle management.

Fundamental computer science concepts.

TypeScript-based web application framework.

React framework for production web applications.

JavaScript library for building user interfaces.

Progressive JavaScript framework for web UIs.

JavaScript framework for building user interfaces.

Python web framework for rapid development.

Modern Python web framework for APIs.

Java framework for building microservices.

Kubernetes-native Java framework.

High-performance python framework for building AI applications.

Secure JavaScript and TypeScript runtime.

Git repository management solution by Atlassian.

Collaboration platform for documentation and knowledge sharing.

Project and issue tracking software.

Complete DevOps platform with Git repository management.

Collaborative interface design tool.

Integrated development environment for Java and other languages.

Tools for API design, documentation, and testing.

Universal artifact repository manager.

Repository manager for binary artifacts.

Model Context Protocol for AI tool integration.

CLI tool and a set of standards for agent building.

AI-powered code completion tool by GitHub.

Package manager for JavaScript with improved performance.

Python dependency management and packaging tool.

Build automation tool for multi-language development.

Build automation and dependency management for Java.

Package manager for Debian-based Linux distributions.

Package manager for Fedora and Red Hat-based systems.

Package manager for RPM-based Linux distributions.

Package manager for Arch Linux.

Universal Linux package system.

Package manager for Windows.

Functional package manager for Unix systems.

Unscripted testing work that occurs during a testing engagement.

Testing system behavior under normal and peak load conditions.

Testing to determine how a system performs in terms of responsiveness and stability.

Testing system behavior under extreme conditions to find breaking points.

Testing for compliance with accessibility standards.

Application of techniques and tools to estimate application response time during peak load conditions.

Methodology for shaping products that maximizes user satisfaction and value.

Designing software-based human-machine interface applications that communicate through voice and/or natural language.

Visual method for managing work and workflow.

Extension of waterfall model with testing phases.

Traditional sequential software development model.

Behavior-Driven Development for collaborative requirements definition.

Test-Driven Development methodology.

Human-centered approach to innovation and problem-solving.

IT Service Management framework.

Role responsible for maximizing product value.

Management of service levels including SLA, SLO, SLI.

Lean and agile practices for start-up environments.

Managing organizational change and transitions.

Administration and oversight of contracts.

Ensuring customer satisfaction and retention.

Oversight of project delivery and implementation.

Management of engineering teams and programs.

Management of mergers, acquisitions, and organizational change.

Planning and execution of system or data migrations.

Implementation and support after sales.

Technical support for sales and solution design.

Request for Information / Quote/ Proposal processes.

Management of sales processes and cost control.

Providing sales teams with the tools and resources they need.

Managing sales processes and operations.

Technical solution design for sales opportunities.

Creating detailed project scope and deliverables.

Drafting overarching service agreements.

Management of relationships with stakeholders and partners.

Clear and effective exchange of information.

Guiding and supporting others' professional development.

Planning, executing, and controlling projects.

Managing relationships with project stakeholders.

Presenting technical concepts to various audiences.

Efficient use of time and prioritization of tasks.

Human-centered AI eXperiences for building inclusive AI applications.

Recommendations for building inclusive and user-friendly experiences.

Open-source videogame engine.

The business processes and systems design which enable a user or group to access, interact, and affect digital or analog systems or processes using an application, or device or tool is interactive design.

Process of designing and providing solutions to people's problems

Process of designing the graphical user interfaces (the look and feel).

Process of designing the interaction inputs, components, such as forms, buttons, links, interaction outputs, and message prompts.

Presentation a potential user progress typically through multiple touchpoints before taking a desired action.

Observability tools that provide visibility into the performance of entire features.

Numerical values that tell us something, and we want to make them better.