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Ayush Khanuja — Portfolio

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.
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.
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.
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.
Reach Out

Contact