Amil | AI & ML Portfolio

About Me

I am an engineer with a background in manufacturing, where I worked with operational data to understand equipment performance and maintenance patterns. This experience sparked my interest in using data to solve problems and exploring how technology can be applied to build intelligent solutions.

Building on this interest, I transitioned into data and cloud engineering, shifting from analysing data to working with systems that support it. Through experience in system integration, cloud technologies, and data workflows, I developed a broader understanding of how scalable and reliable systems are designed and operated.

Currently, I am pursuing a Master's in Machine Learning and Mathematical Modelling, focusing on applying machine learning within real world systems. I am particularly interested in building scalable, production ready solutions that combine data, systems, and machine learning.

Experience

Experience working with data systems, cloud infrastructure, and production workflows, building practical and reliable applications.

Cubastion Consulting Pvt. Ltd, India

Apr 2022 – Aug 2025

Senior Associate Consultant (Data Engineering & Automation)

Worked on data platforms and automation systems, improving data accessibility, system reliability, and deployment efficiency.

Central Customer Data Platform

Enabled real-time access to distributed customer data using zero-copy integration between Databricks and Salesforce
Optimised architecture for performance, cost, and scalability across large datasets
Built robust API-driven pipelines ensuring consistent and reliable data flow
Improved system observability through performance and usage monitoring dashboards

CI/CD Automation & Deployment Platform

Automated end-to-end deployment workflows using event-driven CI/CD pipelines
Reduced manual effort by ~40% while improving release consistency and traceability
Integrated multiple systems via APIs to enable seamless deployment processes
Enhanced system reliability with logging, monitoring, and alerting mechanisms

Operational Analytics Platform

Transformed operational data into actionable insights through structured data models
Identified inefficiencies and long-running processes using backend analysis
Enabled real-time performance tracking via interactive dashboards
Ensured stable system delivery across development, QA, and production environments

Vedanta Limited, India

Jun 2018 – Aug 2020

Assistant Manager (Operations & Reliability Engineering)

Analysed maintenance data across 40+ industrial machines to identify failure patterns and improve system reliability
Applied reliability metrics (MTBF, MTTR, availability) to optimise maintenance planning, reducing unplanned downtime by ~20%
Conducted root cause analysis to prioritise high-risk equipment and enhance preventive maintenance strategies

Hindustan Aeronautics Limited, India

Sept 2018 – Oct 2018

Industrial Training (Aerospace Manufacturing & Quality)

Supported quality assurance of aerospace components, ensuring compliance with engineering and safety standards
Performed inspection and validation processes for safety-critical systems to improve reliability

Skills

Machine Learning

Supervised Learning Unsupervised Learning Model Evaluation Feature Engineering Scikit-learn

Deep Learning

CNNs Neural Networks PyTorch

Data Processing & Engineering

Python NumPy Pandas Data Preprocessing REST APIs FastAPI SQL Git

Cloud & MLOps

Microsoft Azure Docker CI/CD Pipelines Linux Model Deployment Workflow Automation

Education

University College Cork, Ireland

Sep 2025 – Present

MSc Mathematical Modelling & Machine Learning

Implemented reservoir computing (NGRC) models to simulate and predict chaotic systems such as Lorenz-63 and double scroll circuits
Analysed convergence behaviour of optimisation algorithms (Adam, SGD, Momentum, AdaGrad) across nonlinear objective functions
Applied clustering techniques (K-Means, hierarchical, DBSCAN) and evaluated performance using Silhouette, Davies-Bouldin, and Calinski-Harabasz metrics
Worked with numerical methods and scientific computing to model, simulate, and analyse complex data-driven systems

National Institute of Technology Patna, India

Aug 2014 - May 2018

B.Tech Mechanical Engineering

Designed and built a pneumatic sheet metal cutting system integrating mechanical and control components
Analysed system performance using force calculations and operating parameters to estimate cutting capacity
Evaluated system behaviour under different operating conditions and design constraints
Awarded 1st place in a national design competition (IIT Kharagpur)

Certifications

Azure AI Engineer AI-102

Microsoft

Dec 2025

Azure Data Scientist DP-100