Key accomplishments

  • Led the successful implementation of LoRA fine-tuning for a healthcare question answering task, achieving superior performance in clinical information retrieval.
  • Developed Machine Learning (ML) model particularly Long-Short Term Memory (LSTM) with Python and Matlab to predict financial time series, outperformed 1.2% than up-to-date forecasting models with low latency.
  • Developed Convolutional Neural Network (CNN) models for specific classification tasks, with a successful deployment on Web and Android platforms, ensuring seamless integration and usability across multiple devices.
  • Led a multidisciplinary team to develop a state-of-the-art convolutional neural network (CNN) model in healthcare innovation, achieving an impressive 97% accuracy in classifying X-ray images, revolutionizing medical imaging diagnostics and setting a new standard for precision in healthcare analytics.
Role 1
Ai engineer
Role 2
Full stack developer
Financial technology > banking and exchange
full-time 40-hours-per-weekcontract
Any
Senior
United States
Any
NA
Remote
Willing to work for paid projectsWilling to work for stock and paid projects

Tags

AITechFintechHealthtech

Education

  • May 25 2014 - May 25 2015
    University of Florida

    Masters Degree

    I finished Masters degree on Induction Motor Fault Diagnosis using Deep Learning by classifying its noise data.

  • September 1 2010 - May 20 2014
    University of Florida

    Bachelor's Degree

Experience

Portfolio

Expertise

Machine Learning Engineer
90
Frontend Developer
95
Backend Developer
80
MySQL
100
Python
95
Tensorflow
100
Keras
95
JavaScript
95
React
100
Android
100

Languages

English

Honors & awards

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