A

Alhabib Abbas

AI Researcher

London, England, United Kingdom8 yrs 8 mos experience

Key Highlights

  • Expert in developing ML models for real-world applications.
  • Strong background in Computer Vision and Natural Language Processing.
  • Published research in top-tier ML conferences.
Stackforce AI infers this person is a Machine Learning expert with a focus on Computer Vision and real-world applications.

Contact

Skills

Core Skills

Machine LearningComputer VisionTeaching

Other Skills

Analytical SkillsAutomationBack-End Web DevelopmentCollaborationCommunicationDesignExplainabilityNoise InvarianceProblem SolvingProgrammingResearchResearch and Development (R&D)Runtime ComplexityTask-AgnosticityTechnical Analysis

About

Experienced ML developer working on bayesian and deterministic machines. My attention and interest lies in connecting state-of-the-art research to real-world applications. My efforts to that extent include adapting existing proposals to industry standards on: runtime complexity, input bandwidth, format, and monetary cost. Domains I worked on: Natural Language Processing (NLP), Computer Vision (CV), and graph processing via GNNs.

Experience

8 yrs 8 mos
Total Experience
1 yr 8 mos
Average Tenure
--
Current Experience

Alpacatech co., ltd.

ML Researcher

Jan 2024Jan 2025 · 1 yr

Meme ltd

Senior ML Engineer

Jun 2021Jan 2024 · 2 yrs 7 mos · London, England, United Kingdom

  • Developed production ML models that meet strict constraints on explainability, task-agnosticity, runtime complexity, and noise invariance.
  • Selected Publications:
  • ``PAC-Bayesian Bounds on Noise-Invariant Machines." IEEE International Conference on Machine Learning (ICML 2022)
  • ``Biased Mixtures of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations." IEEE Transactions on Image Processing (TIP/CVPR 2021)
  • ``Graph-based object classification for neuromorphic vision sensing." In the IEEE International Conference on Computer Vision and Pattern Recogniton (CVPR 2020)
Machine LearningExplainabilityRuntime ComplexityTask-AgnosticityNoise InvarianceComputer Vision

Tractable

Senior ML Engineer

Jan 2020Feb 2021 · 1 yr 1 mo · London, England, United Kingdom

  • Developed ML production models to automate damage estimation of insured physical assets.
  • Maintained annotation tooling with insurance experts to level ML/CV performance with industry standards.
Machine LearningComputer VisionAutomation

Ucl

2 roles

Research Fellow

Promoted

Jan 2018Jan 2020 · 2 yrs

  • Collaborated with industry partners (Thales UK, Tokyo University, and NICT Japan) to research domain agnostic ML-assisted compression techniques.
Machine LearningCollaboration

ML Instructor

Jan 2018Jan 2018 · 0 mo

  • Delivered masterclasses on behalf of the Alan Turing Institute to third-party institutions.
  • Topics: Linear and Logistic Regression, Regularization, Support Vector Machines, Supervised and Unsupervised Learning, and Applied Machine Learning
TeachingMachine Learning

Bafta

Computer Vision Researcher

Jun 2015Jun 2017 · 2 yrs

  • Developed low-latency indexing techniques for high-definition video.
  • Built commercial tools for video semantic analysis in the compressed domain.
Computer VisionVideo Analysis

Education

UCL

Doctor of Philosophy - PhD — Machine Learning and Computer Vision

Jan 2015Jan 2019

UCL

Master's degree — Computer Systems Networking and Telecommunications

Jan 2013Jan 2014

Stackforce found 100+ more professionals with Machine Learning & Computer Vision

Explore similar profiles based on matching skills and experience