Rohit Bale
Senior AI Engineer
Hyderabad, India
I specialize in designing and deploying intelligent architectures that automate complex workflows and extract value from massive datasets. Core Expertise: • Agentic AI & Automation: Building autonomous, goal-driven AI systems. • Data Engineering: Designing scalable, high-throughput data architectures. • Deep Learning for Healthcare: Developing computer vision models for critical medical tasks, including Cervical Cancer Classification. Let's connect to discuss AI agents, data scaling, or healthcare tech!
Senior AI Engineer
Micron Technology
- Built complex Pipelines that get's near real time data from On-prem to Cloud.
- Worked on building chatbot for a project, which can answer all the queries revolving around the project.
- Built APIs and Dashboards for the complex projects.
- Implement terraform for various projects.
- Implemented CI/CD for many projects to automate the deployment process.
Cervical Type Classification Using Deep Learning
Developed an end-to-end deep learning pipeline for early-stage cervical cancer detection using colposcopic images, functioning as a low-cost, automated screening tool. Key Contributions: Semantic Segmentation: Implemented a UNet architecture integrated with Residual Blocks (ResNet) to accurately isolate the transformation zone (Region of Interest) and remove background noise. Image Classification: Fine-tuned a pre-trained VGG19 model using transfer learning to categorize the segmented images into three distinct cancer types, simplifying treatment planning. Performance & Impact: Achieved a Dice Coefficient of 0.71 for segmentation. The segmented pipeline boosted classification accuracy to 81%, outperforming the unsegmented image baseline of 73%.
MTech
NIT Calicut
BTech
Mumbai University
Attendee · Oct 24, 2026