hello.

builder, founder, engineer.
building ai-powered products, embedded systems, and developer tools.

cto @ ashoka maa · based in india.

AI PRODUCTS
EMBEDDED
DEV TOOLS
EXPERIENCES
COMMUNITY

I'm
Yash.

I build AI-powered products, embedded systems, and developer tools, and lead a 1,500+ member student tech community.

  • CTO @ Ashoka MAA
  • Founder, Bits&Bytes
  • AI & Embedded Systems
  • Full-Stack & Mobile
  • Startup Ashoka (2nd Place)
  • Community (1,500+ Members)
  • Hardware & ESP32
  • Hackathon Organizer
not just building products.
building
ecosystems.

Selected Credentials

2026 – PRES

CTO, Ashoka Student Govt (MAA)

Leading technology for the ministry representing students' academic interests to the Office of Academic Affairs. Built unified React platforms serving Ashoka's ~4,000-student community and developing AI-powered features for student academic tools.

FOUNDER

Bits&Bytes (Gobitsnbytes.org)

Built a 1,500+ member student tech community running projects, workshops, and hackathons, expanding to 10+ Indian cities as "Bits&Bytes forks". Built official websites for Gobitsnbytes.org, Daydream Lucknow, and IndiaInnovates.org.

2026

2nd Place, Startup Ashoka

Awarded 2nd place (₹35,000) for LISA — a frugal, Foldscope-style smartphone spectrometer testing drinking water under India's Jal Jeevan Mission field kits.

SWE INTERN

Software Engineer, Maximally

Built MailAF, an AI-powered cold-outreach tool that automates contact research, email drafting, and multi-stage sending workflows (Next.js, Firebase, Prisma, LLMs).

COMMUNITY

India Innovates & Hackathons

Partnered with India Innovates (28,000+ registered participants at Bharat Mandapam), Lead Organizer for Scrapyard Lucknow, and mentor for NASA Space Apps Challenge Lucknow (400+ participants).

not just writing code.
designing
experiences.
vision
systems
future
design
youth
ambition
intelligence
motion
internet
culture
Selected Works & Explorations
01

LISA

Light-based In-field Spectral Analyser · Startup Ashoka 2026 (2nd Place)

A frugal, Foldscope-style smartphone spectrometer for testing drinking water, aimed at field kits used under India's Jal Jeevan Mission that rely on subjective visual colour matching without digital records. Features an origami card enclosure with a 30×30 mm optical tube, dual razor-blade slit, and diffraction grating film costing ~₹1,500/unit, coupled with an offline-first physics-informed ML runtime (Beer-Lambert, Ridge Regression) measuring absorption from 400–700 nm to quantify phosphate and lead levels against BIS IS 10500:2012 standards with bilingual voice readouts and geotagged logs.

Core / Tech

Physics-Informed ML, Ridge Regression, Beer-Lambert Law, Embedded Optical Hardware, BIS Standards, Python

02

Ghost

Through-Wall Fall Detection on a WiFi Chip · ESP32 & PyTorch

An end-to-end through-wall fall detection pipeline where ESP32 firmware streams WiFi channel-state information (CSI) into a CNN achieving 96% test accuracy and 97.8% fall recall, gated by a debounced state machine. Integrated with an LLM-written caregiver alert system with deterministic fallbacks, a live 3D digital twin of the sensing pipeline, and a custom parametric CAD enclosure and circuit costing ~₹430 ($5) per room.

Core / Tech

Python, PyTorch, ESP32 Firmware, WiFi CSI, CNNs, Three.js, React, Parametric CAD

03

NextBench

Verified Campus Marketplace · Kotlin & Android · 300+ Active Users

A verified-student campus marketplace for trusted buying and selling, campus stories, student clubs, and messaging. The web platform is live and actively used by over 300 students, with the native Android app launching in October 2026.

Core / Tech

Kotlin, Android, React 19, TypeScript, Firebase, Tailwind CSS, PWA

04

Codiva

VS Code Extension · 5.0 Rating · 83 Active Users

A gamified coding extension for Visual Studio Code featuring a distraction-free Pomodoro timer and actionable analytics on coding habits. Helps developers maintain flow state and build consistent programming discipline.

Core / Tech

TypeScript, VS Code Extension API, Pomodoro Engine, Developer Productivity Analytics

05

Alem

Lightweight Notes App · Python · Under 25 MB

Built specifically for low-resource devices under 25 MB total footprint. Features rich text editing, local AI-powered semantic search, dynamic tagging, and secure sharing without cloud bloat.

Core / Tech

Python, Semantic Search, Local Embeddings, Rich Text, Low-Resource Systems

The internet still has room for

beautiful things.

© 2026 Yash Vardhan Singh.