Computer Science & AI/ML · SRM IST 2022-2026
Aayushi
Mohan
_ Full-stack || AI&ML
A developer passionate about building Web Applications and Machine Learning projects that solve real-world problems.
Learning | Executing | Growing
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01 / about
Who I am
Hi, I'm Aayushi, student at SRM IST pursuing B.tech in Computer Science and Engineering with specialization in AI&ML. i am passionate about building full-stack and ML-powered projects that have real-world impact.
I'm constantly strengthening my foundations in DSA while exploring the evolving AI landscape.
Beyond code, I find balance at the gym and through music and singing.
02 / education
Academic journey
2022 — 2026
Bachelor of Technology
SRM Institute of Science and Technology
CSE · Specialization in AI & Machine Learning
2020 — 2021
Class XII · Senior Secondary
New Patliputra Central School
Stream: PCM
2018 — 2019
Class X · Secondary
Radiant International School
All subjects
03 / skills
Technical stack
Languages
Web · Frameworks
Databases
Machine Learning
Developer Tools
AI Tools
Core Concepts
Realtime Tech
04 / experience
Where I've worked
Open-Source Developer — GirlScript Summer of Code (GSSoC 2026)
Remote
- Contributed to 100 Days 100 Web Projects — built and merged a Temperature Converter web app (HTML, CSS, JavaScript); received a "quality: exceptional" label from the maintainer.
- Contributed to DevTrack — added an "Open in GitHub" button to the PersonalRecords component (TypeScript, React), improving accessibility with aria-label support.
- Collaborated with maintainers and contributors across two open-source projects, incorporating code review feedback to meet repository quality standards.
Undergraduate Research — Machine Learning & Network Security
SRM Institute of Science and Technology, Delhi NCR
- Selected and implemented an LSTM-based architecture for sequential network traffic analysis, outperforming statistical baselines in precision and recall across binary and multi-class classification tasks.
- Processed and feature-engineered sequential network traffic datasets, coordinating methodology and experimental design across a 3-member research team.
- Applied binary and multi-class deep learning classification, evaluating models with F1-score, precision, and recall metrics.
- Co-authored a research paper accepted in IJARESM (ISSN: 2455-6211, Impact Factor: 9.175), Vol. 14, Issue 4, April 2026.
05 / projects
Things I've built
01
VideoConnect
Scalable video platform supporting 45+ concurrent users. Room creation with shareable links, audio/video toggle, screen sharing, and real-time chat sidebar powered by Socket.io.
View on GitHub
02
RailYatra - Smart Railway
A full-stack Railway Search, Booking, Analytics, and RAG-based Chatbot application built using FastAPI, SQLite, HTML, CSS, and JavaScript.
View on GitHub
03
LifeTrack
A safe space to share, reflect, and receive supportive guidance for mental well-being — combining thoughtful UX with backend intelligence.
View on GitHub
04
Shiva — AI Chatbot
Full-stack AI chatbot powered by Groq's LLaMA 3.3 70B model with multi-turn conversation memory. Ask anything — code, career advice, concepts, or casual chat.
View on GitHub
05
AI Intrusion Detection System
ML-based IDS that analyzes sequential network traffic data to detect and classify anomalous activity. Built using LSTM neural networks for real-time threat identification.
View on GitHub
06
HandConnect — Neon Aura AR
Browser-based AR experience using real-time hand tracking to generate interactive neon visuals and audio effects. Runs directly in the browser via webcam — no installs required.
View on GitHub
06 / contact
Let's connect
I'm a CS student actively seeking SDE / Full-Stack internship and full-time roles.
If you're building something meaningful, I'd love to be a part of it.
Open to opportunities & collaborations.
aayushimohan118@gmail.com