Amil Khan

Building cloud, data, and AI systems.

Data Platform AI Insights

About Me

Data is only valuable when it can be trusted, scaled, and transformed into decisions.

Over the past several years, I have built and supported enterprise data platforms, cloud integrations, deployment pipelines, and production systems that help organisations move, manage, and use data effectively. My focus is on building cloud and data platforms that enable analytics, automation, and AI applications.

Currently pursuing an MSc in Mathematical Modelling and Machine Learning at University College Cork, I am expanding my expertise in machine learning and AI through academic research and hands-on projects. I'm particularly interested in how cloud, data, and AI come together to solve real world business problems.

Amil

Experience

Building reliable platforms, data systems, and intelligent technologies across cloud and enterprise environments.

Senior Associate Consultant

Cubastion Consulting Pvt. Ltd, India

Apr 2022 — Aug 2025

Worked across cloud data platforms, enterprise integrations, deployment automation, and solution delivery within Salesforce and Azure ecosystems.

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  • Cloud Data Platforms: Evaluated and validated a zero-copy integration architecture between Azure Databricks and Salesforce Data Cloud, enabling scalable access to operational vehicle data.
  • Enterprise Integrations: Delivered integrations across Salesforce, Azure, and external business systems using APIs, authentication services, and cloud technologies.
  • Automation & Delivery: Built and supported deployment pipelines, release automation workflows, monitoring processes, and environment promotion activities.
  • Technical Leadership: Coordinated production releases, stakeholder communication, technical documentation, and solution delivery across distributed teams.
Cloud Data Platforms Enterprise Integrations Automation & Delivery Technical Leadership

Assistant Manager

Vedanta Limited, India

Jun 2018 — Aug 2020

Supported equipment reliability, maintenance planning, and operational performance improvement within large-scale aluminium production systems.

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Analyzed maintenance and breakdown data across critical production assets to identify recurring failure patterns, prioritize corrective actions, and support preventive maintenance initiatives.

Applied reliability metrics including MTBF, MTTR, downtime, and equipment availability to improve maintenance planning and reduce operational disruptions across production systems.

Supported inventory planning for maintenance-critical components and contributed to continuous improvement initiatives, including 5S programs that improved operational audit scores from 52 to 72.

Root Cause Analysis Preventive Maintenance MTBF & MTTR Analysis Inventory Management

Industrial Training — Aerospace Manufacturing & Quality

Hindustan Aeronautics Limited, India

Sept 2018 — Oct 2018
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Completed industrial training at HAL with exposure to aerospace manufacturing operations, quality assurance processes, inspection procedures, and reliability practices in safety critical engineering environments.

Engine Maintenance Quality Assurance Inspection Procedures Reliability Engineering Aerospace Engineering

Skills

Experience across cloud platforms, data engineering, AI, and software systems.

Data Engineering

Python SQL Azure Data Factory Azure Databricks Delta Lake Data Modelling

AI Engineering

Machine Learning FastAPI Azure AI RAG Vector Databases MCP

Cloud & Deployment

Microsoft Azure Terraform Docker Kubernetes GitHub Actions CI/CD

Systems & Operations

REST APIs Git Testing Automation Monitoring

Certifications

Certifications in cloud platforms, machine learning, AI applications, and enterprise data technologies.

Data Engineering

Azure Databricks
Data Engineer Associate

Microsoft · DP-750

Cloud AI

Azure
AI Engineer Associate

Microsoft · AI-102

Machine Learning

Azure
Data Scientist Associate

Microsoft · DP-100

AI Applications

Salesforce
AI Specialist

Salesforce

Data Platform

Salesforce
Data Cloud Consultant

Salesforce

Education

Academic background focused on machine learning, mathematical modelling, scientific computing, and engineering systems.

MSc Mathematical Modelling & Machine Learning

University College Cork, Ireland

Sep 2025 — Present

Exploring how mathematics, machine learning, and engineering can come together to build intelligent systems that solve real world problems, while expanding my industry experience towards the next generation of AI technologies.

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Studying machine learning, mathematical modelling, scientific computing, and optimisation to better understand how intelligent systems learn, adapt, and interact with complex environments.

Applying data driven approaches to analyse nonlinear systems, develop analytical thinking, and bridge mathematical concepts with practical AI applications.

Currently researching Next Generation Reservoir Computing (NGRC) to explore how machine learning can model and understand complex climate dynamics.

Deep Learning Computational Modelling Data Driven Modelling Scientific Computing Complex Systems

B.Tech Mechanical Engineering

National Institute of Technology Patna, India

Aug 2014 — May 2018

Developed an engineering mindset centred around systems thinking, analytical problem solving, and understanding how complex systems are designed, operated, and improved.

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Applied engineering principles to analyse, design, and evaluate mechanical systems under real-world operating constraints.

Completed a final year project on a pneumatic sheet metal cutting system, integrating mechanical design with performance analysis.

Secured 1st place in a national engineering design competition at IIT Kharagpur.

Systems Thinking Engineering Design Reliability Engineering Analytical Problem Solving Complex Systems