Vision and Image Generation Engineer
Broken Shores | Christmas Special
End-to-end cinematic AI generation pipeline combining custom script-to-storyboard models with diffusion synthesis (Midjourney) and text-to-video generation (Google Veo). Achieved 90%+ frame-to-frame consistency across 200+ frames.
Generative AI & Creative Systems
GANs (StyleGAN2, Pix2Pix, CycleGAN) • Diffusion Models (Stable Diffusion, DDPM) • Creative Adversarial Networks • Text-to-Image Synthesis • Multimodal Generation Pipelines • Style Transfer & Aesthetic Modeling
Computer Vision
Object Detection (YOLO, Faster R-CNN) • Semantic Segmentation (U-Net, Mask R-CNN) • Keypoint Detection • Vision-Language Models (CLIP, BLIP, LLaVA) • 3D Reconstruction
ML/DL Frameworks
PyTorch • TensorFlow • Hugging Face • OpenCV • MONAI • LangChain
Production & Deployment
AWS (EC2, S3) • Docker • MLflow • BentoML • Streamlit • FastAPI • Terraform • CI/CD (GitHub Actions)
Journals (Under Review)
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Landmark-Guided Geometric Warping and GAN Refinement for Controllable and Explainable Cephalometric Profile Transformation
Electronic Letters on Computer Vision and Image Analysis (ELCVIA), 2025 (Under Review) -
FedDPI-SH: Quality and Similarity Aware Federated Learning for Medical Image Analysis
IEEE Journal of Biomedical and Health Informatics, 2025 (Under Review) -
Multi-Layer Explainability Framework for Semi-Supervised Anomaly Detection in Digital Pathology
Electronic Letters on Computer Vision and Image Analysis, 2025 (Under Review)
Journals (Accepted)
- Semi-supervised Teeth Segmentation and Rigid Registration of CBCT–IOS Pairs Using PointNetLK
MICCAI 2025, Springer LNCS (Accepted) | 🏆 First Place - MICCAI STSR Challenge
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Conferences
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From Chaos to Clarity: Satellite Imagery & Deep Learning for Emergency Response
International Conference on Advances in Aerospace and Energy Systems (IAES 2024) @ ISRO
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Sign2Text: Vision Transformer-Based Sign Language Translation
IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024)
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- Robot Learning Evolution (Second Runners-Up on IEEE RAS)