Nipun
AI/ML Engineer | Machine Learning NLP & Generative AI | MLOps, LLM& Cloud (AWS, Azure, GCP) | Data Pipelines & Model Deployment
- Role
- Ai Ml Engineer at Freddie Mac
- Location
- Dallas-Fort Worth, TX, US
- LinkedIn followers
- 500 followers
About Nipun
I’m an AI/ML Engineer with 3+ years of experience developing and operationalizing machine…
Experience
Ai Ml Engineer
Jan 2025 — Present · US
Designed and deployed production-grade ML pipelines using Python, SQL, Pandas, NumPy, and Jupyter, processing large-scale credit and behavioral datasets — boosting risk assessment accuracy by 30%-Built ensemble models (Decision Trees, Gradient Boosting, XGBoost, CatBoost, Random Forest) and integrated predictions into Power BI dashboards, cutting manual review time by 25%-Operationalized ML workflows with Azure ML, Databricks, Docker, Kubernetes, and CI/CD (GitHub Actions, Jenkins), reducing model deployment cycles by 40% and ensuring scalable, reproducible releases-Automated retraining pipelines with Apache Airflow DAGs, handling 100K+ daily loan applications and improving pipeline freshness by 35%-Applied LLMs + Prompt Engineering + LangChain to automate financial document summarization, classification, and customer query interpretation — enhancing response accuracy by 20%-Leveraged SpaCy, NLTK, TF-IDF, Bag-of-Words for text parsing, sentiment analysis, and entity recognition to improve downstream decisioning-Established ML governance and model transparency with SHAP, LIME, feature engineering, proxy variables — improving AI adoption by 45%-Implemented MLflow, AWS CloudWatch, Prometheus, Grafana for experiment tracking, drift detection, and real-time monitoring-Delivered real-time credit insights via Power BI, Tableau, and advanced Excel dashboards for executive decision-making.
Education
Southern Arkansas University
Master's Degree
2024 — 2025
Sreenidhi Institute of Science and Technology
Bachelor of Technology - BTech
2019 — 2023
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