Summary
Akshay Patil is a Lead Engineer in Applied AI based in Mumbai with 9 years of experience building production-grade ML systems across NLP, computer vision and large language models. He has led teams of engineers and data scientists to deliver enterprise SaaS tax automation at scale—designing AI pipelines that process millions of transactions monthly, cut manual work by up to 65%, and maintain >95% accuracy through automated retraining and MLOps. Comfortable across TensorFlow, PyTorch and cloud-native deployments on AWS/Azure, he’s delivered high-throughput reconciliation, invoice and ITR extraction systems that materially reduced processing times from days to hours. Akshay pairs research-rooted techniques (OCR, RNNs/LSTMs, object detection) with pragmatic engineering, mentoring juniors and establishing centers of excellence for production AI. He’s driven measurable business impact—30% infrastructure cost savings and 99.8% uptime—while still finding time to experiment (e.g., generative image work for NFT projects), reflecting a continual “learn, explore and repeat” mindset.
9 years of coding experience
4 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at University of Mumbai
Bachelor's degree, Physics, Bachelor's degree, Physics at Bhavans College Munshi Nagar Andheri West