GRADUATE SOFTWARE & AI ENGINEER
Graduate software engineer with projects in Android, Rails, audio machine learning and GPU computing.
01 / SELECTED WORK
Projects across Android, Rails, audio ML, GPU computing, speech technology and numerical pricing.
TB-Turing / HeAR
Team research into cough-based TB screening. My HeAR workstream used frozen audio embeddings, patient-level multiple-instance learning and grouped five-fold evaluation.
Count Gliders / Histogram / Emboss
Implemented and optimised OpenMP and CUDA versions of three supplied algorithms: glider-pattern counting, integer histogramming and an emboss image filter. Compared correctness and end-to-end execution time.
ReCoLA / Android property management
Android property-management app built by a six-person team. I implemented property creation and editing, maps and geocoding, proximity sorting, supplier assignment, image handling and related tests.
Individual dissertation / Heston model
An individual dissertation comparing CPU COS pricing, batched CuPy calibration and a PyTorch surrogate for Heston-model calibration to SPX options.
02 / PROFILE
I graduated from the University of Sheffield in 2026 with a four-year integrated master’s in Computer Science with Artificial Intelligence.
At university, I worked on Android property-management features and a Rails team project, developed a cough-audio ML pipeline, and implemented OpenMP/CUDA algorithms. My dissertation compared numerical and neural approaches to option pricing.
Profile03 / CONTACT
I’m applying for graduate software engineering and applied ML roles. Email is the quickest way to reach me.
aryan.lokesh4@gmail.com