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Computer engineering undergrad at Cambridge, thinking about how to align AI systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
hdl
January 29, 2026 – Present
Learning hardware description languages (Verilog, VHDL, System Verilog)
View Projectiia
November 5, 2025 – Present
Repository for labs and coursework for Engineering Tripos Part IIA
View Projectdft-fft
March 12, 2025 – March 18, 2025
Investigating the Discrete Fourier Transform and Fast Fourier Transform, with applications to earthquakes
View Projecthalu
December 17, 2024 – January 13, 2025
Benchmark of various hallucination detection research and tools
View Project6.009
September 30, 2024 – September 30, 2024
Course notes for MIT 6.009 Fundamentals of Programming
View Projectngd_with_slt
January 10, 2024 – September 30, 2024
A research project in developmental interpretability that showed evidence for a singular learning theory (SLT) prediction - that NGD would converge to solutions with higher effective dimension than SGD.
View ProjectMeta-Portfolio-Method
December 21, 2022 – January 1, 2023
An implementation of the Meta Portfolio Method, with applications of machine learning in portfolio optimization.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and cover a wide range of technical areas (DSA, ML, embedded systems, hardware description languages). While this demonstrates broad technical curiosity, it's difficult to assess cultural fit without information on collaborative work, contributions to open source, or community involvement. The diversity of projects suggests an individual who enjoys exploring different technical domains, which could be a fit for a research-heavy or innovative environment, but also might indicate a lack of deep focus in one area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.