Computer Engineering student focused on AI systems, reinforcement learning, low-level optimization, and research-driven engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
none
Reinforcement Learning Engineer
June 14, 2026 – Present
RL-for-Universal-Compiler-Optimization
May 24, 2026 – Present
Offline Reinforcement Learning for Universal Compiler Optimization across CPUs and GPUs using LLVM IR, MLIR, Graph Neural Networks, and hardware-aware reward modeling.
View ProjectAir-Giutar
May 23, 2026 – Present
Web-based Augmented Reality guitar simulator. Uses your webcam and MediaPipe Hands to track both hands, overlays a procedural 3D guitar on your left hand, detects chords from finger curl, and plays Karplus-Strong plucked strings via Tone.js.
View Projecttrafficflowrl
May 22, 2026 – Present
Research-grade multi-agent reinforcement learning for smart city traffic optimisation.
View Projectmoneymanger
December 19, 2025 – Present
MoneyWise (moneymanger) is a comprehensive personal finance tracking application built with React Native and Expo. It helps users manage their expenses, monitor budgets, and gain insights into their spending habits through interactive visualizations
View Projecthackathon-attendance
November 16, 2025 – November 16, 2025
hackathon-attendance — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong personal interest in Reinforcement Learning, which aligns with the target role. However, the experience level is listed as 0, and the only listed 'experience' is a future-dated 'Reinforcement Learning Engineer' role at 'none', which suggests a lack of professional experience. The project diversity is good, but the depth of professional experience is missing, which could impact cultural fit in a senior role requiring established team collaboration and professional practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into work attitude, stress handling, or team collaboration.