Summary
Ganesh Panthula is a research scientist and machine learning engineer with 8 years of experience building and productionizing AI solutions, from conversational agents to medical imaging and drug-targeting models. Based in New York, he blends deep academic grounding in CNN-based object detection with hands-on expertise in AWS-centric MLOps, real-time NLP, and generative models to turn noisy data into actionable insights. He has led small teams to deliver deployable systems—such as a drive-through conversational AI that cut manual work by 90% and a GENPU-based model for prescriber targeting—while optimizing pipelines to reduce latency and processing time. Comfortable across the stack (ETL, SageMaker, Glue, Redshift, DynamoDB, QuickSight), he also brings experience in speech-to-text seq2seq models and automated retraining workflows. Notably, his work leverages Positive-Unlabeled learning and GAN approaches to solve imbalanced-data problems that traditional classifiers struggle with.
8 years of coding experience
8 years of employment as a software developer
Master’s Degree Electrical and Computer Engineering, Master’s Degree Electrical and Computer Engineering at Florida State University
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at MCT's Rajiv Gandhi Institute Of Technology
Hindi, Telugu, English