RIA·VINOD

Pune, Maharashtra  ·  Available for internships

Ria Vinod

ML Engineer & UI/UX Designer

CSE undergrad who builds machine‑learning systems as rigorously as she designs the interfaces around them — from multi‑agent transport pipelines and clinical ECG models to governance wireframes used by pension‑fund members.

riavinodk@gmail.com +91 98508 31058 Portfolio ↗ GitHub ↗ LinkedIn ↗
01

About

Ria is a third‑year Computer Science student at Symbiosis Institute of Technology, Pune, working at the intersection of applied machine learning and human‑centered design. Her academic projects span causal modeling and graph‑attention networks for transport systems, stacked ensembles for clinical ECG risk prediction, and real‑time network intrusion detection — while her design work has shaped governance and employer‑support experiences for a UK pension fund.

She is currently co‑authoring a peer‑reviewed paper on cardiac‑arrest risk prediction, leads UI/UX for her university's Developer Student Club, and has placed in national hackathons spanning strategy consulting and design.

98% AUC
Cardiac‑risk ensemble model
30 / 1857
Global rank, Stylumia NXT Hackathon
25+
Governance wireframes shipped at Headspur
02

Experience

UI/UX Intern
Headspur Technologies
Jul 2025 – Sep 2025
  • Designed 25+ governance and employer‑support wireframes for the Greater Manchester Pension Fund (GMPF) website in Figma, restructuring information architecture across 10+ content sections to improve clarity, navigation, and accessibility.
  • Converted complex pension policy content into 30+ structured cards, categorized flows, and microcopy components, improving scannability and simplifying navigation across governance resources.
  • Built 8+ user journeys and content frameworks covering governance, trustee resources, and employer help sections, collaborating with a multi‑disciplinary design team to ensure usability and launch readiness.
UI/UX Lead
Developer Student Club (DSC), SIT
Jul 2025 – Present
Core Committee Member
SymbiTech — SIT Pune's flagship tech fest
Jan 2025 – Feb 2025
Class Representative
SIT, Pune
Jul 2023 – Present
03

University Projects

Jan – Mar 2026

Multi‑Agent System for Sustainable State Transport

  • Architected a multi‑stage ML pipeline combining causal modeling, Graph Attention + Transformer (CDAGT) networks, and stacked ensembles (LightGBM, CatBoost, XGBoost) for demand, load‑factor, and utilization prediction.
  • Applied XGBoost meta‑learning to fuse deep‑learning and gradient‑boosting outputs, reaching R² ≈ 0.9998 on spatio‑temporal transport data.
  • Added MC Dropout uncertainty estimation and Isolation Forest anomaly detection to flag high‑risk predictions and congestion anomalies.
  • Designed a multi‑agent orchestrator that fuses model signals into fleet allocation and frequency‑adjustment decisions.
LightGBMCatBoostXGBoostGraph Attention
Mar – Apr 2025

ECG Analysis for Cardiac Arrest Prediction

  • Engineered an ensemble (XGBoost, Random Forest, Logistic Regression) for clinical ECG analysis, reaching 98% AUC on the Georgia 12‑Lead dataset.
  • Applied SMOTE for class‑imbalance correction and RFE for robust feature selection to protect data integrity.
  • Built and deployed an interactive Streamlit app for physicians to review real‑time predictions and patient histories.
  • Partnered with domain experts on a structured validation process and a governance roadmap for clinical adoption.
XGBoostSMOTEStreamlitCloud
2025

Network Intrusion Detection System — Java Full Stack

  • Built a security monitoring system processing 10,000 packets/second with over 95% accuracy detecting brute‑force attacks and port scans.
  • Designed a normalized MySQL schema (31 tables) for network event analysis, audit trails, and forensic querying.
  • Built a real‑time multithreaded Java Swing dashboard with JDBC, cutting threat response time by 8ms.
JavaMySQLJDBCSwing
04

Publication

"Cardiac Arrest Risk Prediction by ECG Analysis using Hybrid Stacked Ensemble Machine Learning and XGBoost"
R. Arora, R. Vinod, S. Shrivastava  ·  2026
Under review International Journal of Computing and Digital Systems
05

Skills & Concepts

Technical
Machine LearningPythonSQLC / C++HTMLCSSJavaScript
Design
FigmaCanvaStreamlitUI/UX Principles
Concepts
Agile CollaborationSDLCData Analysis
06

Achievements & Certifications

Top 1.6%
Stylumia NXT Hackathon
Ranked 30 of 1,857 — global leaderboard
Oct – Nov 2024
3rd
Accenture Strategy Connect S4
National Finals — strategy consulting competition
Aug 2025
3rd
Tantrafiesta Designathon
National UI/UX Hackathon, IIIT Nagpur
 
Nutanix Certified Associate (NCA) — Nutanix Oct 2025 – Mar 2026
Machine Learning A‑Z — Udemy
07

Education

Bachelor of Technology, Computer Science & Engineering
Symbiosis Institute of Technology, Pune
2023 – 2027
GPA 7.56
Artificial IntelligenceAgileCloud ComputingFull Stack DevelopmentOOPDatabase ManagementData StructuresOperating SystemsComputer ArchitectureComputer NetworksDistributed Systems