Ayush Kumar

AI Engineer at Metro Global Solution Centre with hands-on experience delivering business-driven AI solutions by integrating existing cloud models and APIs — not reinventing algorithms. Proven expertise in Google Cloud Platform (Vertex AI, Document AI, BigQuery ML, Agent Development Kit), LLM API integration (OpenAI, Anthropic Claude, Gemini, Azure OpenAI), prompt & context engineering, agentic workflow design, and microservices / event-driven architecture. Experienced building and maintaining CI/CD pipelines on GCP using GitHub Actions and Cloud Build, maintaining comprehensive API documentation, and ensuring all AI solutions comply with responsible AI and ethical standards.

Strong communicator, fast learner, and collaborative team player with a structured, process-oriented approach.

AI Engineer — AEP/AJO Journey Orchestration at Metro Global Solution Centre (MGSC) (2026-03 – Present)

Deliver AI-powered customer journey orchestration solutions within METRO's enterprise ecosystem by integrating Google Cloud AI services (Vertex AI, Agent Development Kit) and third-party LLM APIs, prioritising practical implementation over algorithm development.

• Translate business goals into AI solution requirements by collaborating with cross-functional squads comprising data scientists, architects, and full-stack engineers — directly fulfilling the squad-based collaboration model at MGSC.
• Build and maintain CI/CD pipelines using GitHub Actions and Cloud Build for robust deployment and monitoring of AI microservices in a GCP-native environment.
• Maintain comprehensive documentation including API references, architecture diagrams, and internal runbooks for all deployed AI solutions; conduct internal demos and training sessions for stakeholders.
• Ensure all AI solutions comply with METRO's corporate policies on responsible AI and ethical standards throughout the full development lifecycle.

Artificial Intelligence Engineer Intern at Bornsec (2025-08 – 2026-03)

• Integrated third-party LLM APIs (OpenAI, Anthropic Claude, Gemini) and implemented NLP algorithms to classify customer feedback at scale, delivering production-grade AI-powered insight pipelines with measurable business value.
• Developed and benchmarked ML model prototypes by integrating cloud AI models via APIs — focusing on rapid iteration to improve predictive accuracy rather than building algorithms from scratch.
• Defined AI/ML system integration requirements in collaboration with product managers and engineers, applying a structured, process-oriented approach across the full AI development lifecycle.
• Conducted rigorous code reviews enforcing standards for maintainability, security, and observability across all AI engineering deliverables.

AI Research Engineering Intern at India Meteorological Department (IMD) (2025-08 – Present)

• Designed and automated data processing pipelines handling 500 GB+ of satellite imagery and Doppler radar data using Python, improving ML model data quality by 15%.
• Built and deployed an ensemble AI forecasting system (ARIMA + ML) to predict extreme weather events by integrating existing cloud model APIs, demonstrating the practical integration-first AI engineering approach.
• Developed Power BI and Matplotlib dashboards to communicate AI model outputs and climate research findings to senior scientific stakeholders; maintained architecture documentation throughout.
• Conducted statistical analysis on climate model outputs to evaluate long-term trends and refine predictive model inputs.

Full Stack Developer Intern at sync. (2023-07 – 2023-12)

Developed and maintained full-stack web application components using PHP and MySQL in an API-driven architecture, collaborating asynchronously with a distributed engineering team.

Web Development Intern at OctaNet Services Pvt Ltd. (2023-01 – 2023-06)

• Engineered responsive UIs with modern JavaScript frameworks, achieving a 20% reduction in page load times through targeted performance optimisation.
• Established CI/CD-aligned Git/GitHub workflows across a 5-developer team, improving deployment reliability and code review processes.

Master of Science in Data Science – Christ University, Lavasa (2024-07)

Bachelor of Computer Applications in Computer Applications – Ganpat University (2021-09 – 2024-07)