Himanth Kumar Panga

Artificial Intelligence Engineer with over 3 years of experience across computer vision, edge AI deployment, and applied Generative AI. Experienced in designing and deploying deep learning models for real-time object detection, tracking, and classification, with hands-on deployment on NVIDIA Jetson edge devices using TensorRT and DeepStream. Currently working on an end-to-end medical/cosmetic skin analysis platform, building image preprocessing, segmentation, and classification pipelines for dermatology and cosmetology use cases, deployed and monitored on AWS.

In parallel, building expertise in LLM-based systems – RAG pipelines, agentic workflows, and prompt engineering – to bridge vision and language AI for richer, more interpretable systems.

Data Science Engineer at Smart Rotamach Private Limited (2025-10 – Present)

• Working on an end-to-end skin analysis platform covering both dermatology (lesion and cancer-risk detection) and cosmetology (skin health scoring, skin age estimation).
• Built image preprocessing pipelines to bring medical imaging data up to the quality and consistency standards required for reliable downstream model performance.
• Developed detection, segmentation, and classification models for skin lesion analysis and cosmetic skin attribute assessment.
• Deployed and monitored models on AWS: S3 for data storage, SageMaker for model training and deployment, Lambda for pipeline automation, and CloudWatch for job monitoring and logging.

Artificial Intelligence Engineer at Digital Assets and Transformation Solutions (2023-01 – 2025-10)

• Developed and optimized detection/tracking models for ARM and x86 devices.
• Deployed solutions on Jetson devices, achieving real-time inference using TensorRT.
• Managed edge AI pipelines with Docker, Cronjobs and DeepStream SDK for automated updates.

AI Intern at Digital Assets and Transformation Solutions (2023-01 – 2023-04)

• Built proof-of-concept object detection models for real-world industrial use cases.
• Conducted performance testing and deployment on edge devices.

Bachelor of Technology in Electrical and Electronics Engineering – Acharya Nagarjuna University (2019-01 – 2023-12)