Hello, I'm Sahil Menon
Computer Engineering student at UNSW. Building at the intersection of embedded hardware, AI, and autonomous systems.
01.About Me
Who I am
I’m Sahil, a first-year Computer Engineering student at UNSW, building towards a future in robotics and intelligent systems.
I’m fascinated by autonomous machines — the intersection of embedded hardware, low-level software, and AI. I’m actively seeking research opportunities and internships in robotics and AI.
Outside of engineering, I’m passionate about applying deep tech to help organisations scale, make better decisions, and turn research into real-world impact.
Currently
1st year at UNSW — building foundations in computer architecture, circuits, and discrete mathematics.
Education
Computer Engineering
University of New South Wales, Sydney
2026 – 2029
Time
Technical Skills
- Python & C
- TensorFlow / PyTorch
- Machine Learning
- Embedded Systems
- SQL & Data Analysis
- Git & Agile
02.Experience
BuildingBloCS
Overall-In-Charge
Led Singapore’s largest student-led Computing Advocacy Program, personally overseeing annual conferences of 1,000+ participants from 60+ schools. Coordinated organisers from 30+ institutions and secured $200,000+ in sponsorships to fund industry expert talks, hackathon judging, and national-scale mentorship programs.
Walled AI
AI Safety Researcher
Specialised in LLM hallucination detection for context-based QA. Individually designed and built a 50,000+ entry evaluation benchmark to measure detection model effectiveness — evaluating Lynx and HaluBench across precision, recall, and contextual faithfulness metrics to expose systematic accuracy gaps.
03.Featured Projects
Featured Project
Palimps — Stochastic Text Generation
Infinite, context-aware prose generation from any text corpus — no neural network required.
How do you generate coherent, unbounded prose without a neural network?
Built an n-gram Markov Chain engine with a dynamic backoff strategy for zero-probability states, NLTK POS tagging for grammatical coherence, and binary serialization that cuts initialization time by 85%.
Featured Project
Black Scholes Option Calculator
Real-time options pricing engine with interactive visualisation of volatility and time-decay across 2,500+ scenarios.
How do you make non-linear options pricing intuitive and explorable in real time?
Built a real-time pricing engine using the Black-Scholes-Merton formula with vectorized NumPy/SciPy computations, 3D Matplotlib surfaces, and Seaborn heatmaps — simulating 2,500+ scenarios instantly in Streamlit.
Featured Project
ASCII / Unicode Art Converter
Browser-based image, video, and webcam converter to ASCII, Braille, emoji, and Unicode block art — with real-time dithering and drift animations.
How do you faithfully reduce a full-colour image to a grid of text characters without losing perceptual detail?
Built entirely on the Canvas 2D API — supports Floyd-Steinberg, Atkinson, and Ordered dithering, Sobel edge detection, a particle drift system, and an emoji LUT for colour matching. Exports to PNG, SVG, TXT, and WebM video.
Interested in working together or have a research opportunity?
Get In Touch