Work Experience
Co-Founder and CTO
Tenyks
Lead R&D of a cutting-edge camera stream analytics platform for the Hospitality Industry
June 2021 - Aug. 2025
Cambridge, England
🏆Key Achievements
- Worked closely with the CEO to shape the strategic vision of Tenyks. Contributed to raising over $3.4M from top-tier VCs by shaping and pitching the technical vision to investors.
- Oversaw ideation, design, architecture, research prototyping, & delivery of the two Tenyks products: an MLOps platform for Computer Vision model debugging, and an AI-first surveillance platform for camera stream analytics. The latter product processed 100s of camera streams in realtime via novel model cascade architectures combining multi-modal LLMs (e.g. Gemini) with powerful object detectors & VLMs, successfully detecting crucial events such as patient accidents in care homes, or operational inefficiencies in Quick-Service Restaurants.
- Together with the Founding team, grew Tenyks to 15 FTEs (at peak). Designed and ran the technical hiring pipeline (incl. take-home assessments, interviews, followups). Led a technical team of 9 FTEs (across SW, ML, Design, and Support).
- Collaborated with Tenyks engineers in architecting the Tenyks products across the stack including: FE (React), BE (FastAPI/Flask), DBs (Mongo/Timescale), Infra (K8s), Cloud (AWS/GCP). Led the delivery efforts of SOC-II certification (using the Vanta platform).
⚡Technologies & Skills
PyTorchUltralyticsHuggingFaceVertexGeminiOpenAINVIDIA TritonLangChainLangGraphFoundation ModelsVLMsVectorDBs
Research Intern
Nokia Bell Labs
Explored Variational Continual Learning for personalised ML systems using sparse user data.
June 2019 - Sept. 2019
Cambridge, England
🏆Key Achievements
- Developed adaptive models responsive to individual usage patterns
- Researched novel approaches to continual learning with limited data
- Collaborated with senior researchers on cutting-edge ML applications
- Presented findings to the research team and contributed to technical documentation
⚡Technologies & Skills
PythonTensorflowVariational MethodsContinual LearningMachine Learning
Software Engineer Intern in Machine Learning
Arm
Built a face recognition pipeline for Arm platforms using SVMs, CNNs, and CV pre-processing techniques.
June 2018 - Sept. 2018
Cambridge, England
🏆Key Achievements
- Implemented face recognition pipeline using SVMs, CNNs, and CV pre-processing techniques (HOG, Gaussian Pyramids)
- Integrated with the Arm Compute Library for optimized performance
- Developed robust preprocessing pipeline for various lighting and angle conditions
- Achieved performance improvements on Arm-based devices
⚡Technologies & Skills
C++PythonOpenCVCNNsSVMsArm Compute LibraryComputer Vision
Software Engineer Intern
Redgate Software
Developed installer features in C# for the Toolbelt suite.
June 2017 - Sept. 2017
Cambridge, England
🏆Key Achievements
- Developed installer features in C# for the Toolbelt suite
- Contributed to CI/CD using GitHub, TeamCity
- Wrote unit-tested .NET code following best practices
- Collaborated with the development team on software delivery improvements
⚡Technologies & Skills
C#.NETGitHubTeamCityCI/CDUnit Testing