Megha Ilamurughu

Multilingual NPS Assistant, Pension Forecast Engine

Career Phase Detection (First Job / Promotion Phase / Career Break / Stable Growth Phase) • Auto-Debit Status (Completed / Pending for Current Month) • Retirement corpus calculator using compounding logic • Inflation-adjusted future value modeling

Python Essentials 1

Cisco Networking Academy and OpenEDG Python Institute

C Programming for College Students

Udemy by Gomathinayagam A

Learn HTML 5 Programming By Building Projects

course by Edunix.

Deloitte Australia's Cyber on @[Forage] Data Science, Machine Learning, Deep Learning & NLP Bootcamp

Udemy B

GDG On-Campus member, actively contributing to the developer community through technical events, collaboration, and knowledge sharing.

AI/ML Engineer with experience building and experimenting with machine learning solutions and exploring real-world AI applications.

Participant in the 36-hour Vashisht 3.0 Hackathon at IIITDM Kancheepuram (Savara Fest ’26), where our team developed a Fin Tech prototype aimed at helping Gen Z plan early retirement through financial awareness and gamified learning.

Competed in the CITIL SDG Hackathon at Chennai Institute of Technology, progressed through Mentor Phase 1 & 2, and ranked among the Top 33 out of 155 teams, demonstrating strong problem-solving and iteration under pressure.

Active open-source contributor collaborating with developers and contributing to community-driven projects.

Explored diverse technology domains including AI, blockchain, cloud computing, and full-stack development; currently serving as Student Representative at the Blockchain Centre of Excellence.

Sentinel Guard —A Sensor-Fusion Based Emergency Alert & Response System.

It is a privacy-first, multi-layered emergency detection system designed to reduce response time during accidents and acute medical events. It is explicitly positioned as an assistive alert system.

Powered Multilingual NPS Assistant, Pension Forecast Engine

• Career Phase Detection (First Job / Promotion Phase / Career Break / Stable Growth Phase) • Auto-Debit Status (Completed / Pending for Current Month) • Retirement corpus calculator using compounding logic • Inflation-adjusted future value modeling

Selected via the Internship Common Aptitude Test (iCAT), validating strong foundational ML, analytical, and problem-solving skills.

Trained on supervised and unsupervised learning covering regression, classification, clustering, dimensionality reduction, and pipelines.

Gained expertise in model evaluation metrics (F 1-score, AUC-ROC, precision-recall) and end-to-end ML deployment and monitoring.