Summary
Kalyan Padhiloju is a data scientist with 10+ years of experience applying machine learning, deep learning, computer vision and NLP to optimize global logistics operations from San Jose. He built end-to-end ML systems that digitized documents, prioritized customer emails, and detected dangerous cargo anomalies—delivering production models with >90% accuracy and a 98.7% recall on DG detection. His background spans large-scale data engineering and real-time analytics platforms at OOCL to research-grade DL and GNN models for customer behavior and PRQ forecasting, enabling measurable revenue and operational improvements. Skilled in deploying models to production, automating ML pipelines, and leveraging tools from PyTorch/BERT to Spark and Kafka, he bridges research and engineering to reduce cycle time and cost. A less obvious strength is his use of weak supervision (Snorkel) to scale labeling for NLP pipelines, which accelerated model development in high-volume, noisy document workflows.
10 years of coding experience
11 years of employment as a software developer
B.S, Engineering, B.S, Engineering at Kakatiya Institute of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal