GenAI & AI/ML Engineer with 5+ years of experience building and deploying enterprise-grade AI platforms across Financial Services and Banking. Hands-on in LLMs, RAG, AI agents, predictive analytics, and secure production deployments. Experienced in MLOps, CI/CD, and cloud-native architectures (AWS, Kubernetes, FastAPI) to automate workflows, improve operational efficiency, and deliver reliable, governed AI solutions.

Jayashri

GenAI & AI/ML Engineer with 5+ years of experience building and deploying enterprise-grade AI platforms across Financial Services and Banking. Hands-on in LLMs, RAG, AI agents, predictive analytics, and secure production deployments. Experienced in MLOps, CI/CD, and cloud-native architectures (AWS, Kubernetes, FastAPI) to automate workflows, improve operational efficiency, and deliver reliable, governed AI solutions.

Available to hire

GenAI & AI/ML Engineer with 5+ years of experience building and deploying enterprise-grade AI platforms across Financial Services and Banking. Hands-on in LLMs, RAG, AI agents, predictive analytics, and secure production deployments.

Experienced in MLOps, CI/CD, and cloud-native architectures (AWS, Kubernetes, FastAPI) to automate workflows, improve operational efficiency, and deliver reliable, governed AI solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

GenAI & AI/ML Engineer at Fulton Financial Corporation
November 1, 2024 - Present
Designed and deployed enterprise-grade Generative AI applications using GPT-4, Claude, Gemini, and Llama, reducing manual financial operations by 50%. Built RAG platforms using LangChain, OpenAI APIs, Hugging Face, and vector databases to improve knowledge retrieval accuracy by 40%. Engineered predictive analytics solutions for portfolio risk assessment and financial forecasting using ensemble learning. Automated ETL/ELT pipelines using AWS Glue, Airflow, Spark, and Lambda to reduce processing time. Built AI assistants for customer service, investment recommendations, and knowledge management. Developed AI-powered KYC/AML and regulatory compliance document processing, reducing review time by 65%. Implemented fraud and anomaly detection models and built scalable inference APIs using FastAPI and AWS Lambda. Implemented MLOps pipelines with MLflow, Docker, Kubernetes, Jenkins, and GitHub Actions, reducing deployment cycles by 70%. Optimized prompt engineering to reduce token usage while i
AI/ML Engineer at IBC Bank, Laredo, TX
January 1, 2023 - October 31, 2024
Developed enterprise AI/ML solutions for fraud detection, credit risk modeling, customer segmentation, and transaction analytics. Built scalable ML pipelines for multi-terabyte banking datasets using Spark/PySpark, AWS EMR, and SageMaker. Created secure RAG applications for context-aware enterprise knowledge search. Built models for credit scoring, customer lifetime value prediction, and loan default forecasting. Automated data ingestion pipelines using AWS Glue, Lambda, Step Functions, and Airflow, reducing manual intervention by 60%. Deployed models via SageMaker real-time and batch endpoints. Implemented feature engineering and optimization to improve accuracy by 20–30%. Designed ETL frameworks integrating S3, Athena, Glue Catalog, Redshift, and EMR. Conducted advanced statistical analysis and built executive dashboards using Power BI/Plotly/Matplotlib. Improved deployment efficiency with Git workflows, CI/CD, and MLflow lifecycle management.
Data Scientist at HighRadius Corporation, Houston, TX
April 1, 2021 - December 31, 2022
Delivered AI solutions for customer analytics, marketing intelligence, forecasting, and enterprise automation. Built recommendation systems, churn prediction, and customer segmentation improving campaign effectiveness by 30%. Developed predictive analytics models including Random Forest, Gradient Boosting, XGBoost, Logistic Regression, clustering, and neural networks. Built NLP applications using Amazon Bedrock, Hugging Face Transformers, spaCy, and NLTK for sentiment analysis and document classification. Designed end-to-end model deployment pipelines using AWS SageMaker and REST APIs (FastAPI/Flask). Implemented monitoring using AWS CloudWatch. Improved accuracy through feature engineering and hyperparameter tuning by 15–25%. Collaborated with engineering teams to integrate AI services into enterprise web applications and led design discussions, code reviews, mentoring, and AI governance initiatives.

Education

Bachelor of Technology in Information Technology (IT) at Dr. Babasaheb Ambedkar Technological University, Maharashtra, India
January 11, 2030 - July 23, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet