Jun 2025 - Nov 2025
Mar 2025 - Jun 2025
Feb 2025 - Mar 2025
Sep 2024 - Feb 2025
Jul 2024 - Sep 2024
Jan 2023 - Jun 2023

Solution Migration to Private Cloud Environment

Python
Azure AML
Azure ADX
PowerBI
Azure Kubernetes Service
Azure Functions
CI/CD
Team Management
Jun 2025 - Nov 2025
Delivered 17 end-to-end solution migrations in 4 months, aligning teams across EMEA and the US and ensuring seamless technical execution and client satisfaction.

Goals:

  • Daily coordination with5 cross-functional teams using Agile methodologies
  • Creation of CI/CD pipelines to automate deployments and testing
  • Planning and organisation of migration activities
  • Deployment of AML endpoints on Azure Kubernetes Service for scalable model serving
  • Weekly stakeholder meetings to ensure alignment and transparency

Optimisation of Chocolate Spraying Process in US factories

Python
Azure AML
Azure ADX
PowerBI
Azure Kubernetes Service
Azure Functions
CI/CD
Computer Vision
ETL
Mar 2025 - Jun 2025
Delivered a scalable ML-driven solution to optimise chocolate spraying on peanuts, integrating a complex ETL pipeline and deploying computer vision models for real-time monitoring. Ensured seamless collaboration across teams and maintained strong stakeholder alignment throughout the project.

Goals:

  • Design and implementation of machine learning models to optimise chocolate spraying on peanuts
  • Development of a complex ETL pipeline to process and integrate production data
  • Deployment of computer vision models for real-time monitoring and quality assurance
  • Creation of CI/CD pipelines to automate training, testing, and deployment
  • Regular stakeholder sessions to ensure alignment with production teams

Forecasting and Mathematical Modelling for Detection, Prediction and Correction of issues in production plants

Python
Databricks
Mathemathical algorithms
PowerBI
PySpark
Feb 2025 - Mar 2025
Delivered within a demanding 4-week RFP, incorporating forecasting models and mathematical modelling algorithms enhancing production to a 99.1% yield.

Goals:

  • Delivered within a demanding 4-week RFP, incorporating forecasting models and mathematical modelling algorithms enhancing production to a 99.1% yield.

Algorithmic Solution for Material Traceability and Batch Analytics System

Python
Azure Functions
Differential Algorithms
CI/CD
PowerBI
SQL
Azure DBs
Sep 2024 - Feb 2025
In this project, we primarily focused on developing an accurate mathematical model to identify efficiency bottlenecks linked to financial losses, enabling the site team to proactively address issues before incurring significant economic costs. Information was delivered to client via an intuitive collection of dashboards with deep analysis on their productions and schedules.

Goals:

  • Designed a track & tracing algorithm, and financial model achieving an 15% reduction in material overusage and improving financial assessment accuracy, deployed with CI/CD pipelines with 98.5% automated test coverage.
  • Developed PowerBI dashboards, delivering KPIs, predictions and actionable insights for client decision-making, adopted by 6 production plants in the US.

High-Performance ML Model Enhancement and Code Optimization

Python
Azure ML Studio
Azure DB
XGBoost
Azure Functions
ETL
Refactoring
Jul 2024 - Sep 2024
Contributed to a mature project by boosting efficiency and model performance through strategic refactoring, documentation, and model retraining.

Goals:

  • Refactored codebase using hashmaps for efficient O(1) lookups.
  • Retrained models with XGBoost to improve R² scores.
  • Enhanced algorithm robustness with additional logic layers.
  • Implemented a data quality assurance module with the team.

ASGI-Based GenAI Platform for Seamless LLM Integration

Python
FastAPI
Microsoft Bot Framework
Azure
ASGI
Pytest
Langchain
Streamlit
Jan 2023 - Jun 2023
Built a modular solution with a frontend, gateway, router, and SDK for GenAI agents, enabling seamless interaction with databases, audio, images, and documents, adding ML and CV capabilities.

Goals:

  • Implemented an ASGI architecture with FastAPI for GenAI with mathematical simulation, image-based fault monitoring & document processing, reducing plant production stoppages by up to 30%.
  • Developed predictive maintenance ML models and integrated them with GenAI agents, achieving 81% accuracy in early failure detection and preventing potential downtimes.
  • Deployed scalable microservices on Azure & Azure Machine Learning, supporting up to 3k+ concurrent users with Agentic AI deployments in MS Teams and Slack.