AlphaTechLogics

Summary: Applied AI startup/lab where you work as AI Engineer. Focus: computer vision, edge AI, efficient Vision Transformers for deployment. Product-focused, deployment-oriented.

Details

  • Type: Startup / Applied AI Lab
  • Your Role: AI Engineer (2023–Present)
  • Focus Areas:
    • Computer Vision (detection, segmentation, classification)
    • Edge AI / On-device inference (TensorRT, ONNX, CoreML)
    • Efficient Vision Transformers (ViT, DeiT, MobileViT)
    • MLOps / Deployment pipelines
  • Tech Stack: PyTorch, TensorRT, ONNX, OpenCV, Docker, Kubernetes

Significance for You

Industry experience pillar. Provides:

  • Deployment reality check — Your efficient ViT research targets exact constraints faced here
  • Code portfolio — Production systems, not just notebooks
  • LoR source — Manager can speak to engineering + research translation
  • Product sense — Knows what "works in practice" vs paper metrics

Connection to Research

  • efficient-vision-transformer — Directly inspired by edge deployment challenges here
  • smart-technology-lab — Complementary: startup (product) vs academic lab (publications)

Related

  • smart-technology-lab — Your academic research role
  • efficient-vision-transformer — Personal project targeting same problem space

Sources

  • internal-knowledge: Your employment / internal context