Sree Sushma Damineni

Ai Ml Engineer @FIS

Florence, KY, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2025 — Present

Ai Ml Engineer @FIS

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US

Built data preprocessing and feature engineering pipelines using PySpark and Databricks to process large-scale transaction data for fraud detection and credit risk analysis, improving pipeline efficiency by 35%.• Developed machine learning models for credit risk scoring and anomaly detection using LightGBM and Pandas, optimizing features and validation to improve prediction performance.• Fine-tuned transformer-based NLP models using PyTorch and Hugging Face for document classification, improving accuracy by 22%.• Designed RAG-based knowledge retrieval systems using LangChain, FAISS, and Sentence Transformers for contextual search across enterprise documentation.• Deployed LLM inference APIs using FastAPI and Docker with GitHub Actions CI/CD, reducing deployment time by 40%.• Managed scalable ML workflows using Kubernetes, Apache Airflow, and AWS SageMaker, reducing deployment cycles by 30%.

EDUCATION

N/A

Sanskriti Vidya Mandir

Secondary School Education, General Studies

2019 — 2023

Shri Vishnu Engineering College for Women, Vishnupur, Kovvada Village, Bhimavaram, PIN-534202(CC-B0)

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

N/A

University of Missouri-Kansas City

Master of Science - MS, Computer Science

N/A

Narayana Junior College - India

Intermediate, Science

ABOUT SREE SUSHMA DAMINENI

I am an AI Engineer with a Master’s in Computer Science focused on building deployable machine learning systems that solve real-world problems.My work centers on natural language processing, predictive modeling, and end-to-end ML pipelines — from data preprocessing to deployment. I recently built and deployed an NLP web application that analyzes resume–job description alignment and identifies skill gaps through an interactive interface.I enjoy translating complex data into interpretable insights and practical decision-support tools. My experience includes developing ML pipelines, building web-based AI applications, and working with cloud platforms for scalable deployment.I am currently seeking entry-level opportunities where I can contribute to building intelligent systems and continue growing as an applied machine learning engineer. Portfolio: https://sreesushma.github.io/ai-portfolio-sree/ Live AI Application: https://resume-matcher-webapp.onrender.com GitHub: https://github.com/sreesushma

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Sree Sushma Damineni — Ai Ml Engineer at FIS in Florence, KY, US | Unifers