Prathamesh Mahale
AI Engineer at Pratilipi
Pune, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolPrathamesh Mahale is an AI Engineer with eight years of experience building production-ready machine learning systems and deploying them via FastAPI, Django REST, Docker, and cloud services. He has hands-on expertise across the full model lifecycle—data preprocessing, custom loss design, fine-tuning, knowledge distillation, and real-time optimization—applied in domains from recommendation systems to biomedical NLP and technical document extraction. Notable contributions include improving OCR/NLP pipelines to raise accuracy by 30% in manufacturing use cases and transferring BioBERT knowledge into lightweight student models for better interpretability and speed. At Pratilipi he’s moved internal workflows to AWS Step Functions and helped prototype an AI story-writing agent, demonstrating a practical focus on scalable, user-facing AI features. Prathamesh pairs research-driven techniques (custom losses, logit alignment, visualization pipelines) with production engineering to ensure models are both explainable and maintainable in deployment. Based in Pune, he blends academic rigor with product-minded delivery, often automating retraining and monitoring to keep models robust in changing data environments.
8 years of coding experience
Bachelor of Technology - BTech, Artificial intelligence and Data science, Bachelor of Technology - BTech, Artificial intelligence and Data science at Vishwakarma Institute of Information Technology
Github Skills (8)
generative3
super-resolution2
deep-learning2
generative-adversarial-network2
photo2
keras2
motor-driver1
tensorflow1
Programming languages (1)
Github contributions (5)
prathameshmhabdi/Keras-SRGAN
Nov 2019 - Dec 2019
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Contributions:4 commits, 4 pushes in 1 month
deep-learningadversarialsingle-imageresolutiongenerative-adversarial-network
prathameshmhabdi/advanced-processors
Mar 2019 - Aug 2019
Contributions:1 push, 1 branch in 4 months
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