Building ML systems from data to deployment

Combining data, cloud, and machine learning.

Focus: Data Systems • Machine Learning • MLOps • Cloud Infrastructure

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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.

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Background

I work across data systems, cloud infrastructure, and production workflows, focusing on building reliable and practical applications.

Experience

Senior Associate Consultant
Apr 2022 – Aug 2025

Cubastion Consulting Pvt. Ltd • Gurgaon, India

Project: Central Customer Portal
  • Designed zero-copy data integration between Azure Databricks and Salesforce Data Cloud for efficient access to distributed datasets
  • Evaluated integration approaches based on performance, cost, and scalability to select an optimal solution
  • Built data ingestion pipelines using APIs and Azure services to ensure reliable data flow
  • Developed monitoring dashboards to track system performance and user activity
  • Managed deployments across environments to maintain stable and consistent releases
Project: CI/CD Automation
  • Designed event-driven CI/CD workflows integrating Jira, Bitbucket, and Bamboo
  • Built automated pipelines for code integration and environment-based deployments
  • Integrated deployment workflows with external systems using APIs and scripting for end-to-end automation
  • Implemented logging, monitoring, and alerting to improve reliability and traceability
  • Reduced manual effort by ~40% by automating release processes
Project: Center for Competency
  • Designed data models for operational data including maintenance activities and support cases
  • Developed backend logic using SOQL and Apex to analyse job durations and identify long-running processes
  • Built dashboards to monitor system performance and operational metrics
  • Supported deployment workflows across development, QA, UAT, and pre-production environments
Assistant Manager
Jun 2018 – Aug 2020

Vedanta Limited • Jharsuguda, India

  • Analysed maintenance data across 40+ industrial machines to identify recurring failure patterns and improve system reliability
  • Applied reliability metrics (MTBF, MTTR, availability) and trend analysis to support maintenance planning, reducing unplanned downtime by ~20%
  • Performed root cause analysis to prioritise high risk equipment and optimise preventive maintenance strategies
Industrial Training
Sept 2018 – Oct 2018

Hindustan Aeronautics Limited • Bangalore, India

  • Supported quality assurance of aerospace components, ensuring compliance with engineering and safety standards
  • Gained experience in inspection processes and reliability considerations in safety critical systems

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

  • Applied machine learning to model complex systems including chaotic dynamics
  • Worked on reservoir computing and clustering techniques for real-world data
  • Focused on understanding system behaviour through data-driven approaches
National Institute of technology Patna, India
2014 - 2018

B.Tech Mechanical Engineering

  • Designed and built a pneumatic sheet metal cutting system
  • Analysed system performance under real-world constraints
  • Awarded 1st place in national design competition (IIT Kharagpur)

Certifications

Azure AI Engineer (AI-102)

Microsoft

Dec 2025
Azure Data Scientist (DP-100)

Microsoft

Dec 2023
AI Specialist

Salesforce

Oct 2024
Data Cloud Consultant

Salesforce

Nov 2024

Currently Building

Computer vision system for automated vehicle damage assessment in insurance workflows.