Model Distillation and Fine-tuning

Research

Fine-tuning and distilling large language models for domain-specific tasks...

This project focuses on distilling large language models (LLMs) into smaller versions and fine-tuning them on domain-specific tasks. The distillation process uses a teacher model (gpt-neo-1.3B) to train a student model (distilgpt2). The model is then evaluated on several NLP benchmarks. Finally, it is finetuned on the Yahoo News Financial dataset and evaluated on FinQA.

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OptiRun

ML & Mobile App

Machine learning and Strava data for personalized training recommendations...

I am utilizing machine learning algorithms and user data from Strava to provide personalized training recommendations for runners. By integrating a JavaScript backend into an iOS app using Xcode and Swift, I enable real-time running data extraction and presentation to users. This combination of machine learning and real-time data allows for tailored insights that enhance the running experience.

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LSTM Stock Price Prediction

Data Science

Analyzing stock volatility using investor data and statistical models...

With the volatility of the stock market, this project attempts to use the amount of investors and how this has an influence on the individual stocks, while also calculating the impact of the entire market from past data. Using past data and statistical analysis through many specific models to achieve this goal.

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Co-Connect

Full-Stack

A data-driven platform for Northeastern co-op experiences connecting students, employers, and advisors...

Traditional platforms like NUWorks and Glassdoor fail to capture the complex aspects of co-op roles, such as workload variability, realistic responsibilities, and the work environment. Co-Connect provides a data-driven, intuitive solution designed to offer a deeper understanding of co-op experiences while streamlining the connection between students, employers, and advisors. Features include post feeds for sharing co-op experiences, job listing feeds for employers, student profiles with filtering capabilities, employment status tracking, and resume management.

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Resume Parser

NLP

An NLP-based tool that converts unstructured resume data into structured format...

An NLP-based tool that converts unstructured resume data into a structured format, extracting key details like skills, education, and experience to automate candidate screening and improve recruitment efficiency.

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