Sibi profile picture

Hi, I'm Sibi!

🗣️ cee-bee

Welcome to my portfolio!
Scroll down and get to know the ABCs of me: AI, Building, and Collaboration.

Experiences With

About Me

Why I Build


I'm a final-year Computer Science undergraduate, specialising in Machine Learning.

Over the years, I’ve been involved in Hackathons Healthcare Ops Tech Consulting
Through it all, I’ve found that the most fulfilling work is the kind that helps people. Teaching others and building tools that make someone’s day easier is what resonates with me most.

That’s what drew me to Tech – the ability to scale impact. A single well-designed system can solve problems far beyond what one person could do alone.

With Machine Learning, there’s an added layer of intrigue: bio-mimicry. Systems that evolve and learn like we do. The idea of nurturing digital intelligence from scratch fascinates me.

I’ve worked in domains ranging from Medical Crisis Response and Telehealth, to GenAI R&D and Enterprise AI Systems Whatever the challenge, I show up with curiosity, ownership, and the drive to build tech that actually helps people.

Technical Stack

Programming Languages
Python
SQL
JavaScript
ML/AI Frameworks & Libraries
Scikit-learn
PyTorch
Pandas
NumPy
SentenceTransformers
Langchain
Flashtext2
Markitdown
Matplotlib
Databases, Cloud & Tools
Azure Cosmos DB
PostgreSQL
SQLite
FAISS
SQLAlchemy
GitHub
Web/UI Technologies
React/Next.js
Tailwind CSS
HTML

Featured Projects

SpaceX Falcon 9 Landing Analysis

Exploratory Data Analysis and Predictive Analysis using machine learning to predict the landing success of SpaceX Falcon 9 rockets.

Tech used: REST API, BeautifulSoup, SQL, Folium, prediction models(Logistic Regression, SVM, KNN and Decision Tree) to gauge the success rate of future launches.

Dr. Ducky – RAG Research Assistant

Multi-modal offline assistant that leverages local LLMs to summarise, retrieve and quiz on lecture material.

Tech used: FAISS, SentenceTransformers, FastAPI, Tailwind, ChromaDB, Markitdown

Space Race and Missions

Exploration of Space Race trends between the USSR and the USA from 1957 and creation of current space trends word cloud.

Tech used: Pandas, Matplotlib, Plotly, BeautifulSoup

Work Experience

EY Singapore – Data & AI Technology Consulting Intern

Jan 2025 – Present
  • • Engineered an end-to-end data ingestion pipeline for AI-powered analytics.
  • • Developed Python-based log analysis tool for chunking refinement.

UnravelX – Generative AI Software Engineer Intern

Mar 2024 – Jun 2024
  • • Integrated GPT-3.5 into Unity simulations and refined prompts for realism.
  • • Boosted website Lighthouse score from 56 to 91 via CDN/caching.

Trinax – Quality Assurance Engineer Intern

Jul 2024 – Oct 2024
  • • Led QA and performance tracking for 9 projects.
  • • Conducted API testing using Postman and coordinated timely releases.

Doctor Anywhere – Shift Supervisor

Jan 2022 – May 2022
  • • Scaled COVID-19 ops from 30 to 40,000 bookings.
  • • Performed manpower analytics and demand forecasting.

NUS ISEM – Data Analyst Intern

Nov 2018 – Dec 2018
  • • Collected and analysed geospatial data for 700+ locations in Singapore.
  • • First prize in case competition for innovative housing solution.

Singapore Armed Forces – CBRE Medic

Jan 2020 – Nov 2021
  • • Specialised in chemical-medical, mass-casualty, and emergency surgical response.
  • • Deployed for COVID-19 response and vaccination.

Certifications

Awards & Achievements

Extracurricular Activities

Contact

Let's connect! Reach out via LinkedIn or explore my GitHub.