Subbulakshmi S.

Machine Learning Engineer @Megalabs.Ai

Palo Alto, CA, US

Fine-tuned the FLAN-T5 model using PEFT (Parameter-Efficient Fine-Tuning) techniques to enhance model performance. Evaluated the results using the ROUGE metric, demonstrating improved summarization quality.• Developed ML model for Autism Spectrum Disorder detection using facial landmarks from MediaPipe and Dlib, with Hyperopt for optimal model selection.• Created churn prediction model for Robinhood, utilizing EDA and classification models to identify key factors and improve user retention.• Led the development of an AI healthcare application on AWS EC2 using ML models, enhancing diagnostic precision and streamlining assessment time for elderly patients.• Implemented advanced social media content filtering for the Wowso App by preprocessing tweets, applying TruncatedSVD for dimensionality reduction, and building optimized tweet classification models using Logistic Regression, Random Forest, and XGBoost, significantly improving user engagement.• Optimized resume tools with AI-driven skill gap analysis, enhancing their effectiveness and improving candidates\' hiring success rates.Tech Stack:• Data Science/Machine Learning/AI Core Algorithms: Regression, Classification, Clustering,Ensembling methods, Recommendation Systems, Natural language processing, Deep learning, Generative AI.• Data Manipulation and Visualization: Pandas, Numpy, Seaborn, Matplotlib, Plotly Express,Tableau• Machine Learning and Deep Learning Frameworks: Scikit-learn, TensorFlow, Keras, Media Pipe• Natural Language Processing and Computer Vision: Spacy, Natural Language Toolkit (NLTK),OpenCV• Deployment: API deployment using Flask on AWS EC2 instance• Additional Tools: Regex, Anaconda, Google Colaboratory.

Raja College of Engineering and Technology - Anna University

Bachelor's degree, Electronics and Communications Engineering

Liverpool John Moores University

Master of Science - MS, Machine Learning and AI

International Institute of Information Technology Bangalore

PG Diploma, Machine Learning and AI