- 🌱 I’m currently exploring cutting-edge AI technologies and their applications.
- ⚡ Fun fact: I believe that technology and innovation are the keys to solving complex challenges.
Pioneered the implementation of Apache Airflow and Kubeflow, orchestrating 50+ machine learning workflows and slashing model deployment times by 60%, resulting in faster iteration and improved business outcome. Skilled in strategic project management and team leadership. Seeking a challenging executive role to leverage technical expertise and drive engineering excellence.
Milk Quality Prediction.git
This project builds a machine learning pipeline to predict the quality of milk (low, medium, or high) based on a variety of physicochemical properties such as pH, temperature, fat content, and more. The goal is to help dairy producers ensure consistent product quality and reduce contamination risks through data-driven insights.
Tools Used: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), Jupyter Notebook
COVID19-Cluster
In this project, I attempted to cluster published literature on COVID-19 and reduce the dimensionality of the dataset for visualization purposes. This allowed for an interactive scatter plot of papers related to COVID-19, grouping materials with similar themes together.
Tools Used: Python, Pandas
MediAssist: Fine-tune LLaMA-2
This repository contains my submission for the Machine Learning Engineer Job Assessment. The task involves building a pipeline to fine-tune a large language model (LLaMA-2-7B) using synthetically generated healthcare dialogue data. It demonstrates proficiency in data handling, prompt engineering, transformer-based model training, and evaluation.
Tools Used: Python, PyTorch, HuggingFace Transformers, PEFT
Exploring Cryptocurrency Market
Exploring the Bitcoin cryptocurrency market to better understand the growth and impact of Bitcoin and other cryptocurrencies. This project explores the market capitalization of different cryptocurrencies.
Tools Used: Python, Pandas, JSONL