Ayush
Khanuja

Computer Science Engineering Student / Data Science

I design and build high-performance systems — from AI-driven platforms to scalable full-stack applications. Focused on clean architecture, real-time systems, and impactful engineering.

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Academic Background

Education

Dec 2023 – Present

Bachelor of Engineering in CSE (Data Science)

BMS College of Engineering — Bengaluru, Karnataka

CGPA: 9.13/10

April 2022 – March 2023

Higher Secondary Certification (12th)

Matoshri Junior College — Nashik, Maharashtra

Percentage: 84.17%

April 2020 – March 2021

Central Board of Secondary Education (10th)

Army Public School — Deolali, Maharashtra

Percentage: 97.8%

Introduction

About Me

I'm a Computer Science student focused on building scalable systems and AI-driven applications. I enjoy solving complex engineering problems, optimizing performance, and designing systems that actually get used. Currently exploring real-time architectures, distributed systems, and applied machine learning.

Portfolio

Projects

Featured

Meet-AI - AI-Driven SaaS Video Intelligence Platform

Next.js 15 OpenAI tRPC Drizzle Stream SDK Inngest Polar

Delivered sub-500ms latency in AI-human voice interactions, improving response speed by ~40% compared to baseline systems.
Engineered an asynchronous, event-driven backend with Inngest and tRPC, automating complex workflows including live transcription, intelligent summarization, and multi-tenant data synchronization.
Implemented a production-ready security and monetization layer using Better Auth and Polar, managing secure user sessions and automated subscription billing for a scalable, multi-tenant ecosystem.

GitHub ↗ Live ↗

Quick Bites - Full-Stack Food Delivery & Operations Ecosystem

Kotlin Android SDK Supabase MVVM Coroutines

Developed a dual-application ecosystem comprising a customer ordering platform and a dedicated Admin console, synchronized via Supabase Realtime for zero-latency order and inventory updates.
Architected a secure relational database schema using Postgres Row Level Security (RLS), ensuring strict data isolation and enterprise-grade security for user records and transaction history.
Reduced UI lag by ~30% by optimizing main-thread usage with Kotlin Coroutines.

GitHub ↗ APK ↗

ClassLogger - Biometric Attendance & Security System

FastAPI FaceNet OpenCV KNN Firebase

Architected a multi-factor authentication system to eliminate attendance fraud, integrating FaceNet (Inception-ResNetV1) 512-D facial embeddings with WIFI SSID/BSSID network validation.
Engineered an AI-vision pipeline utilizing MTCNN for real-time face detection and KNN with Cosine Similarity for identity classification, achieving a 70%+ confidence threshold for automated verification.
Built a secure, dual-interface mobile platform with real-time Firestore synchronization, featuring automated session management, administrative overrides, and biometric auditing for institutional compliance.

GitHub ↗

Capabilities

Technical Skills

Languages

JavaCPython JavaScriptSQLRKotlin

Libraries & Frameworks

FlaskPandasNumPy MatplotlibTensorFlowKeras Node.jsExpress.jsReact.js

Tools

PostgreSQLMongoDBNeo4j FirebaseVercelDockerGitHub

Coursework

Data Structures & AlgorithmsOperating Systems Database ManagementMachine Learning Deep LearningCloud ComputingBig Data Analytics

Position of Responsibility

Leadership

June - Nov 2024

Junior Core Member

IEEE Signal Processing Society (SPS)

Spearheaded technical workshops and events, securing high engagement scores and positive feedback.
Developed strategic industry partnerships and connections to drive collaborative networking.

Resume

Ayush Khanuja - Resume

View or download my full professional experience, skills, and academic achievements.

View Resume Download

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