Upendar Reddy Kandimalla

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AI/ML Engineer

Brex

Oct 2024 - Current (1 year 9 months)

• Worked on an AI-Powered Expense Intelligence System, collaborating with product managers, finance teams, and data engineers to deliver personalized spend insights, fraud detection, and budget optimization tools for corporate clients. • Collaborated with data engineering to collect, preprocess, and store transactional, merchant, and category data on AWS S3. Used Python and Pandas for data cleaning, normalization, and feature extraction, resulting in a high-quality dataset with 98% completeness for model development. • Built reinforcement learning models in TensorFlow and OpenAI Gym to optimize real-time budget recommendations and anomaly alerts. Designed reward functions centered around spend efficiency, policy compliance, and user enga
AI/ML Engineer

Barclays

Jan 2021 - Aug 2023 (2 years 8 months)

• Developed a credit risk scoring system using ensemble models and temporal graph learning in collaboration with credit risk, analytics, and data governance teams. Integrated behavioral and demographic features to improve borrower segmentation and risk prediction. • Designed an end-to-end data pipeline with Azure Data Factory and Apache Spark on Azure Databricks to preprocess and transform 80+ million customer transactions per day, achieving 99.5% pipeline reliability. • Constructed custom Temporal Graph Convolutional Networks (T-GCNs) using PyTorch Geometric and DGL to capture evolving borrower-lender relationships. Leveraged Azure Machine Learning for distributed training and model orchestration. • Implemented advanced feature extract

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Upendar Reddy Kandimalla

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