• Leading development of advanced machine learning solutions for Canada's largest retailer, driving data-driven decision making across multiple business units.
• Designing and implementing MLOps pipelines for scalable model deployment and monitoring in production environments.
• Building recommendation systems and predictive analytics solutions to enhance customer experience and optimize business operations.
• Collaborating with cross-functional teams to translate business requirements into technical ML solutions and drive innovation in retail technology.
• Tools: Python, ML Pipeline, Cloud Platforms, Data Science, Leadership, Innovation

Priceline

• Built a flight price prediction use case using time series forecasting. Deployed on Vertex AI with data from BigQuery, enabling data-driven pricing and integration with product features.
• Built a standardized ML pipeline for preprocessing, training, and online/offline deployment on Vertex AI, featuring modular design, feature store integration, versioning, and backfilling. Orchestrated the pipeline with a reusable Airflow DAG.
• Designed a scalable GenAI framework on GCP with CI/CD integration, featuring a robust Inference module with rate limiting, monitoring, parallel processing, and use-case-specific configuration, and a Validation module using LLM-as-a-Judge for automated evaluation and continuous quality feedback. Leveraged LangChain for orchestrating dynamic LLM workflows and integrating retrieval-augmented generation capabilities.
• Delivered a hotel review summarization use case combining sentiment analysis and summarization, with an algorithm to surface high-impact reviews. Achieved a 30% conversion rate uplift through A/B testing.
• Tools: Python, GCP, Vertex AI, Git, GitHub, ML pipeline, Teamwork

AltaML

• Implemented a LightGBM and XGBoost algorithm for predicting the permeability of rock core images with an accuracy of 94%, saving upwards of 10 million dollars for the client.
• Developed a Machine Learning pipeline from scratch on Azure and conducted error analysis to further improve the model performance.
• Conducted error analysis to analyze model performance.
• Prepared bi-weekly update and present it to the client.
• Tools: Python, OpenCV, Azure ML Studio, Git, GitHub, ML pipeline, Teamwork

MIRA Chatbot

• Built and implemented the back-end and front-end of the MIRA chatbot.
• Explored and compared different Recurrent Neural Network language models to detect the intent of a sentence and extract entities from it with an F1-score of 97% and 83%.
• Used various data augmentation techniques like back translation and synonym replacement to increase the amount of training data in the MIRA chatbot.
• Applied Sentiment Analysis techniques to MIRA Chabot to identify the sentiment of users’ responses and modify the chatbot’s responses according to detected sentiments.
• Developed a system to automatically report bugs to decrease the time needed for team members to identify and fix bugs/issues.
• Implemented different ways to visualize and send a daily report of MIRA chatbot statistics to team members.
• Trained and managed two undergraduate students in the MIRA chatbot team.
• Developed a service to automatically perform a set of unit tests daily on a product in development to decrease the time needed for team members to identify and fix bugs/issues.
• Tools: Python, Rasa Framework, Tensorflow, Keras, Teamwork

CafeIoT

• Experience in leading a group by managing the technical part of CafeIot startup.
• Collaborated with team members utilizing version control systems such as Git to organize modifications and assign tasks.
• Tools: Python, Django, PHP, Laravel, JavaScript, HTML/CSS, Leadership

Languages and Databases

Python

C++

C

PHP

JavaScript

HTML

CSS

MySQL

PostgreSQL

SQLite

Microsoft SQL Server

NLP & Large Language Models

NLTK

Spacy

Gensim

Hugging Face

LangChain

OpenAI API

Libraries

Tensorflow

Pytorch

Keras

Sklearn

Numpy

OpenCV

Scipy

Pandas

React

Web Frameworks & APIs

Django

Flask

FastAPI

React

Streamlit

Rasa

Cloud & ML Platforms

Google Cloud

Azure ML

AWS

Vertex AI

BigQuery

MLOps & DevOps Tools

Docker

Kubernetes

Apache Airflow

MLflow

Git

Linux

NGINX

Bash

Visualizations

Tableau

Matplotlib

Seaborn

Plotly

Microsoft Power BI

Soft Skills

Communication

Teamwork

Leadership

Work Ethic

Time Management