Help & Supportcareers@gravityer.com
Computer Science student at University of Edinburgh. Active member of Formula Student and passionate about Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
sensorless-bilateral-teleop
March 26, 2026 – Present
Sensorless bilateral force feedback for low-cost scaled teleoperation: ROS 2, custom 2x-scaled 3D-printed arms, ~$3k platform, 91% obstacle-detection sensitivity.
View Projectgrade-calc
January 21, 2026 – Present
University of Edinburgh honours degree classification calculator with transcript import, what-if scenarios, and multi-profile planning.
View Projectrealtime-whiteboard
November 9, 2025 – Present
Realtime voice-to-diagram whiteboard using the OpenAI Realtime API, WebRTC, and tldraw. Speak an architecture; get an editable canvas.
View Projectum-hack
July 22, 2025 – July 22, 2025
Aura: a WhatsApp-based AI life copilot for voice notes, habit tracking, activity logging, and YouTube research.
View Projectfont-facer
March 31, 2025 – March 31, 2025
Gemini-backed FastAPI and React prototype for generating font-style images from text descriptions.
View Projectboy-racer
March 25, 2025 – March 25, 2025
CarRacing reinforcement-learning experiments with training, evaluation, and playback scripts.
View Projectlightspeed
March 20, 2025 – March 21, 2025
Full-stack realtime insights dashboard prototype with FastAPI, React, websockets, and mock-data fallbacks.
View Projecta16z-11labs-hackathon
February 22, 2025 – February 24, 2025
Espresso Labs, 2nd place entry in the a16z x ElevenLabs hackathon in London from 22-23 Feb 2025, winning a $3000 prize. Team consisted of Stuart Johnson, Ali Hussain, Leo Camacho, and John Lingi.
View ProjectEdinburghAI-Resources
February 13, 2024 – September 24, 2024
Legacy EdinburghAI workshop resources and notebooks for machine-learning fundamentals.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards personal projects and hackathon entries, demonstrating strong initiative and a passion for technology. The diversity of projects, including AI/ML, web development, and robotics, suggests a broad interest in technical challenges. However, the lack of professional experience or team-based projects (beyond hackathons) makes it difficult to fully assess cultural fit within a structured corporate environment. The target role is 'Data Scientist', and while there are relevant projects, the overall portfolio also includes significant front-end and full-stack development, which may indicate a broader interest rather than a focused alignment with a pure Data Scientist role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and experimental approach to problem-solving. Participation in hackathons indicates a collaborative spirit and ability to deliver under time constraints. However, without specific assessment data, a detailed evaluation of soft skills and operational fit is limited.