A
Alee Ashwin
About
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New York, United States
Résumé
Jobs
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Senior AI/ML EngineerBayforceOct 2021 - Current (5 years 1 month)• Computer Vision & Image Intelligence:• Developed and deployed BERT-based document parsers to streamline KYC processes, significantly reducing manual review time while ensuring compliance with HIPAA and SOC 2 standards.• Worked with CNN-based models and transformer architectures (e.g., ViT, CLIP) for tasks such as object detection and image metadata tagging to classify and extract meaningful information from large image datasets.• Enhanced facial recognition, scene detection, and aesthetic appeal scoring in image datasets for automated content classification and tagging in high-volume environments.• Recommendation Systems & Behavioral AI:• Led the development of an advanced fraud detection system using XGBoost and Autoencoders, increasing- OMachine Learning EngineerOpTechAug 2018 - Sep 2021 (3 years 2 months)• Predictive Modeling & Healthcare AI:• Engineered an LSTM-based model for predicting ICU patient deterioration, significantly improving early warning systems and enhancing patient care outcomes.• Fine-tuned BioBERT models on Azure ML for clinical note classification, automating workflows, and improving documentation efficiency within healthcare settings.• Applied transfer learning with ResNet and EfficientNet for radiology scans, accelerating diagnostic workflows and supporting clinicians' decision-making processes.• Developed automated model retraining pipelines using Airflow and Azure Pipelines, ensuring continuous optimization of AI models and maintaining model performance in a live healthcare environment.• Data Engineering & AI Infrast
- PJunior Machine Learning EngineerPRI TechnologyJul 2014 - Jun 2018 (4 years)• Recommendation Systems & Forecasting:• Developed a recommendation engine using SVD, which increased customer engagement and drove repeat purchases by providing personalized recommendations based on historical user behavior.• Implemented LSTM and Prophet models for demand forecasting, optimizing inventory management and reducing stockouts in retail and logistics operations.• Designed and implemented PCA and K-Means clustering models for customer segmentation, resulting in improved customer retention and conversion rates.• Model Development & Validation:• Developed and maintained a robust model validation framework, ensuring consistent performance and reducing model drift in production environments.• Integrated recommendation and forecastin
Education
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- BBachelors of Science in Computer Science
Projects (professional or personal)
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- AAI-driven Patient Monitoring SystemDesigned an AI-based real-time patient monitoring system, leveraging deep learning and sensor data to predict and alert clinicians of potential health deteriorations, leading to earlier intervention and improved patient outcomes.
- PPredictive Maintenance SystemDeveloped a predictive maintenance system using machine learning algorithms (e.g., Random Forest, XGBoost) to predict equipment failure in healthcare facilities, reducing downtime and minimizing maintenance costs.
- DDocument Parsing with BERTDesigned and implemented a BERT-based document parsing system that automated manual review processes, reducing processing time and streamlining operations in compliance-heavy industries like healthcare and finance.