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M. Alfi Hasan.

01/PROFILE

Portrait of M. Alfi Hasan

FIG. 02 — M. ALFI HASAN / CHROMATIC LENS

alfi@physical-ai — env

Curious by training, engineer by obsession.

AI researcher passionate about solving real-world problems with state-of-the-art advances in science and technology. Currently addressing challenges for the world's largest retail company on the Physical AI team — building practical solutions with vision-based large language models, multimodal deep learning architectures, and human-aligned evaluation techniques for agents.

Expertise spans computer vision, generative AI, and applied artificial intelligence, with an emphasis on delivering scalable, business-impacting outcomes.

My enthusiasm lies in long nights of coding for fun, solving mathematical challenges in a gamified way, and motivating people to adopt new technologies. Interests range from machine intelligence via computer vision and generative AI, to the philosophical and moral quandaries of human and artificial intelligence, to the light and dark sides of history. I enjoy a nicely brewed coffee, RTS games, traveling to new places — and I am an avid fan of One Piece.

Whether it's a groundbreaking scientific topic, a casual talk on world history, or a chat about any moonshot idea — let's connect.

02/CAPABILITIES

C-01

Computer Vision at the Edge

Device-efficient deep learning — detection, segmentation and tracking tuned for constrained IoT hardware in the physical world.

C-02

Generative & Agentic AI

Vision-based LLMs, RAG pipelines, vector embeddings and human-aligned evaluation techniques for production agent systems.

C-03

End-to-End System Design

From device-level inference to server-side dashboards — full intelligence systems with CI/CD discipline.

C-04

Scientific Research

Peer-reviewed research across remote sensing, climate modeling and epidemiology — 29 publications, 1000+ citations.

03/TECHNOLOGY STACK

LANGUAGES

  • Python
  • C++
  • Go
  • R
  • Visual Basic
  • SQL
  • TypeScript

FRAMEWORKS

  • PyTorch
  • TensorFlow
  • OpenCV
  • Hugging Face
  • LangChain
  • scikit-learn

ARCHITECTURES

  • GANs
  • Segment Anything
  • YOLO Series
  • CLIP
  • Grounding DINO
  • Transformers
  • Vision LLMs

PLATFORMS

  • Edge / IoT Devices
  • CI/CD Pipelines
  • GCP
  • Azure
  • Docker
  • Kubernetes

04/EDUCATION

  1. 2018

    Ph.D. — Civil & Environmental Engineering

    University of Rhode Island

    Satellite-driven epidemic prediction with computer vision and statistical modeling.

  2. 2014

    M.Sc. — Water Resources Development

    Bangladesh University of Engineering and Technology

    Improvement of heavy rainfall forecasting using the WRF model.

  3. 2011

    B.Sc. — Water Resources Engineering

    Bangladesh University of Engineering and Technology

    Foundations in fluid mechanics, hydrology and numerical modeling.