Vasanth S
Chengalpattu · IN
Portfolio · 2026
Available for work

Researcher.Builder.Quietlyobsessedwiththedetails.

Frontend developer & AI researcher building interfaces, systems and ideas that bridge deep learning with everyday usability.

Currently
BS Data Science @ IIT Madras
B.E. CSE @ RMK College
Recently
Frontend Dev @ SLATE IITM
3 IEEE Publications
↓ Scroll to explore01 / 06
02About

I sit between research and the interface — translating models, papers and data into things people can actually touch.

Discipline

Computer Science & Data Science undergraduate working across frontend engineering, applied ML, and systems thinking.

Research

Three IEEE conference papers spanning deep-learning robustness, data governance, and explainable AI — led as research team lead.

Craft

React, React Native and modern UI systems. I care about typography, motion that earns its place, and interfaces that feel inevitable.

03Experience

A short, real timeline.

Feb — Jun 2025

Frontend Developer

SLATE — IIT Madras · Remote
  • Built and optimized UIs for web & mobile across the SLATE learning platform.
  • Shipped responsive, interactive components in React and React Native.
  • Partnered with design to refine accessibility and motion across flows.
Jun — Jul 2024

Intern

Rane NSK · On-site
  • Managed IT assets and improved internal asset-tracking systems.
  • Supported networking infrastructure setup and troubleshooting.
Earlier

Network Operations Assistant

BSNL · Railwire Franchise · Field
  • Configured routers and ONTs at customer locations.
  • Resolved network issues end-to-end for subscribers.
04Selected Project

Digital Twin for Manufacturing Optimization.

Manufacturing systems suffer from latency, static workflows, and slow decision-making. I built an AI-powered orchestration framework that mirrors the floor in real time — closing the loop between sensor data, quality control, and re-planning.

Digital TwinOrchestrationEdge InferenceOEEPython
12.7s → <500ms
Real-time latency
6.2% → 1.1%
Defect rate
82.4% → 94.1%
Equipment effectiveness
3–5h → 27s
Workflow reconfig
05Research & Publications

Papers, conferences and questions worth chasing.

04

Automated Dynamic Schema Evolution for Eliminating Pipeline Brittleness in Real-Time Data Ingestion Systems

ICCT-SD 2026 · GNDEC × NIT Delhi
Presented
06Toolkit

The things on my bench.

Frontend
React·React Native·HTML·CSS·Figma
Backend
Java·C++·Python
ML & Data
NumPy·Pandas·Deep Learning·Image Processing
Soft
Research Writing·Leadership·Problem Solving·Team Management·Presentation
Languages
Tamil·English·Hindi
07Contact

Let's build something careful.

I'm open to internships, collaborations on applied AI and interface work, and research projects. The fastest way to reach me is email.

Email→GitHub→LinkedIn→ResearchGate→