Tejaswini Devikoppa
Actively Seeking ML Engineer Roles | ML, DL, NLP, LLMs, Generative AI | Python, Tensor Flow, PyTorch, Scikit-learn | AWS | Docker | SQL
- Role
- Machine Learning Engineer at Norm Ai
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Tejaswini Devikoppa
Machine Learning Engineer with 4+ years of experience building and deploying production…
Experience
Machine Learning Engineer
Jan 2025 — Present · NY, US
Deployed BERT-based classification model on AWS EC2 using Flask, reducing manual legal document reviews by 55% and improving classification accuracy by 21% across multiple compliance workflows.• Analyzed preprocessing pipelines using Pandas and Scikit-learn to clean, encode, and scale features, reducing training time by 40% and improving model reliability across legal text datasets.• Created Streamlit dashboards showing ROC-AUC, F1, and precision metrics, reducing validation time from three days to one and enabling faster decision-making by compliance and QA teams.• Optimized classification pipelines using hyperparameter search and cross-validation, boosting F1 score from 78% to 88% across diverse document categories in compliance workflows.• Containerized models using Docker and automated testing through GitHub Actions, reducing environment issues by 30% and improving release cycle time from one week to three days.
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