SystemoneX - ML Engineer
February 2024 - May 2024 | Boston, MA
The Sprint Experience
This was a fascinating 4-month sprint where I got to dive deep into the pure technical side of machine learning. Think of it as a concentrated bootcamp where every day was about building, training, and optimizing models with laser focus.
The Technical Playground
Working with the trifecta of ML frameworks - TensorFlow, PyTorch, and Scikit-learn - I spent my days crafting models that could predict business outcomes with impressive accuracy. The data exploration phase was like being a detective, using Pandas, NumPy, and Matplotlib to uncover hidden patterns in datasets.
Cloud Adventures
One of the most exciting aspects was deploying ML applications on AWS and Google Cloud. There’s something magical about taking a model that works perfectly on your laptop and scaling it to serve thousands of requests in the cloud. It’s like watching your digital creation grow up and move out into the world!
The Algorithm Hunt
Each project required researching and implementing the most suitable ML algorithms for specific business needs. It was like being a matchmaker between problems and solutions - finding the perfect algorithm that could turn business challenges into predictive opportunities.
The Learning Curve
In just 4 months, I packed in experience with data preprocessing, model architecture design, performance optimization, and cloud deployment. It was intense, focused, and incredibly rewarding - like a masterclass in end-to-end ML engineering.