Vaishnavi G
Ai Ml Engineer @Fifth Third Bank
Signup · Get unlimited contacts
WORK HISTORY
Ai Ml Engineer @Fifth Third Bank
Kentwood, MI, US
Designed and implemented end-to-end ML pipelines for credit risk scoring using Python,Pandas, and Scikit-learn, improving prediction accuracy by 18%. Developed deep learning models with TensorFlow and PyTorch to detect anomalies intransactional data, reducing false positives by 30%. Integrated real-time data ingestion pipelines using Apache Kafka and Airflow forcontinuous data updates and retraining workflows. Leveraged AWS SageMaker for large-scale model training and automated deploymentusing CI/CD pipelines built with Jenkins and Docker. Implemented feature selection and dimensionality reduction techniques (PCA, Lasso) toimprove model interpretability and runtime efficiency. Conducted data drift and model performance monitoring through MLflow andPrometheus dashboards. Collaborated with DevOps team to containerize models and deploy scalable inferenceservices on AWS EKS. Conducted hyperparameter tuning using Optuna to enhance precision and recall scores. Created API endpoints using Flask for real-time fraud detection model integration intocore banking applications. Developed Power BI dashboards to visualize transaction anomalies, fraud trends, and keybusiness KPIs. Documented model versions, lineage, and governance details in Confluence for auditreadiness.
EDUCATION
KS Institute Of Technology
Bachelor of Engineering - BE, Computer Science Engineering
University of Central Missouri
Master's degree, Computer Science
ABOUT VAISHNAVI G
I’m an AI/ML Engineer specializing in building production-grade machine learning and GenAI systems that scale reliably in real-world environments. I have hands-on experience designing end-to-end ML pipelines, deploying models on AWS & Azure, and developing LLMs, RAG pipelines, NLP models, and automated MLOps workflows.With 3+ years of experience in banking and healthcare AI, I have delivered solutions for credit risk scoring, fraud detection, anomaly detection, patient readmission prediction, and clinical NLP automation—always focusing on accuracy, scalability, and measurable business impact. What I Do BestLLMs & GenAI: embeddings, RAG, vector search, prompt engineering, LLMOpsMachine Learning: risk scoring, anomaly detection, forecasting, classificationNLP: BERT, SpaCy, text embeddings, document intelligenceMLOps: Airflow, MLflow, Docker, Kubernetes, CI/CD, monitoring & governanceCloud AI: AWS SageMaker, Azure ML, EKS, containerized inferenceData Pipelines: feature engineering, ETL automation, Kafka streaming pipelines My Engineering ApproachI combine strong ML development with system-level thinking—building pipelines that are: Scalable (real-time + batch) Automated (Airflow, CI/CD, MLflow) Secure & compliant (healthcare & fintech experience) Business-aligned (risk, fraud, operational efficiency)I enjoy translating complex requirements into clean, reliable ML architectures that work in production—not just in notebooks. Currently ExploringAdvanced GenAI + LLMOps for enterpriseRetrieval-based LLM systems (RAG)High-performance GPU training + inferenceAI reliability, model monitoring, and explainability What I’m Looking ForFull-time roles in:AI/ML Engineer | Machine Learning Engineer | GenAI Engineer | MLOps Engineer | NLP EngineerOpen to: USA • Remote • Hybrid • RelocationIf you\'re building AI systems that need to scale, I’d love to connect.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.