Machine Learning Engineer
Kellton Tech
Jul 2021 - Dec 2023 (2 years 6 months)
• Engineered a real-time fraud detection engine using XGBoost and PySpark, achieving a 94% F1-score by implementing custom SMOTE techniques to mitigate
extreme class imbalance in transactional data.
• Architected a production-grade RAG pipeline utilizing LangChain and Pinecone, which reduced information retrieval latency by 35% for enterprise-level
semantic search across multi-structured datasets.
• Deployed scalable model microservices via FastAPI and Docker on AWS EKS, maintaining 99.9% uptime and facilitating seamless integration with existing high-
traffic client applications.
• Automated end-to-end MLOps workflows using MLflow and Airflow, reducing the model deployment lifecycle from weeks to days through