T
Thulasi Allampati
About
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Milpitas, California, United States
Résumé
Jobs
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Machine Learning EngineerFlatiron HealthJul 2025 - Current (1 year 4 months)• Transform structured datasets using PySpark on Databricks, integrating with AWS Redshift for ETL and feature engineering, improving pipeline throughput by 30% for oncology datasets.
• Engineer predictive oncology models using TensorFlow, XGBoost, and LightGBM, improving patient outcome forecasting accuracy by 18% across more than 130,000 patient records while ensuring FHIR integration, HIPAA compliance, and robust model validation.
• Develop retrieval-augmented NLP workflows using Hugging Face transformers, LangChain, FAISS, and Pinecone, enabling scalable semantic search across unstructured oncology notes and reducing clinical information retrieval time by 40%.
• Build scalable production ML pipelines with MLflow, FastAPI,- Ml InternTempusMay 2025 - Jul 2025 (3 months)• Assisted in training transformer-based NLP models using PyTorch, performing feature engineering on 40,000+ clinical text records to improve healthcare information extraction accuracy.
• Contributed to retrieval workflows using vector embeddings and FAISS, preparing structured and unstructured healthcare datasets in AWS S3 to improve data accessibility for NLP model development.
• Maintained reproducible ML experimentation workflows using GitHub, improving collaboration efficiency and reducing versioning conflicts across healthcare AI projects. - Data ScientistDeloitteSep 2021 - Nov 2023 (2 years 3 months)• Automated ETL/ELT pipelines with Apache Spark and Airflow, transforming structured datasets stored in Snowflake, reducing data processing time by 25%.
• Conducted feature engineering and statistical analysis using Pandas and NumPy, validating 250+ model features and identifying predictive trends for downstream ML workflows.
• Developed regression and classification models using Scikit-learn and Statsmodels on 2M+ client records, improving predictive accuracy by 15% and supporting data-driven business decisions.
• Managed PostgreSQL and MySQL databases while deploying predictive models through Azure ML, reducing deployment cycles from days to under 24 hours.
• Designed Power BI dashboards to track KPIs and model outputs
Education
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- Master of Science in Computer Information SystemsFlorida Institute of TechnologyDec 2025
- JB.Tech in Electronics & Communication EngineeringJNTUA College of Engineering AnantapuramApr 2023
Projects (professional or personal)
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- Diagnosing Chronic kidney diseaseJawaharlal Nehru Technological University Anantapur JNTUAJan 2023 - May 2023 (5 months)Home kit we used to detect the ckd in which stage using ML algorithms and Neural Networks