About Me

Hi, I’m Jibin Baby, an AI engineer, creative technologist, and full-stack builder currently pursuing my Master’s in Applied Machine Intelligence at Northeastern University, Boston. With a strong background in data engineering, software testing, and content creation, I combine structured thinking with imaginative execution to bring innovative solutions to life.

📚 Education Timeline

  • High School (2017 – 2019)
    St. Philomena’s School, Elanji, India — CBSE Board (88%)
    Physics, Chemistry, Mathematics, Computer Science

  • Bachelor’s in Computer Applications (2019 – 2022)
    Kristu Jayanti College, Bangalore — GPA: 9.56/10
    Machine Learning, Data Structures, Software Principles

  • Advanced Data Science Diploma (2023 – 2024)
    IIIT Bangalore — GPA: 3.9/4.0
    Deep Learning, NLP, CNN, EDA, Hypothesis Testing

  • Master’s in Applied Machine Intelligence (2024 – Present)
    Northeastern University, Boston — GPA: 4.0
    AI Research, Machine Intelligence, Academic Applications

💼 Work Experience

  • National Instruments – Internship (Jan 2022 – Jun 2022)
    Software Test Engineering – Bangalore, India

  • National Instruments – Full-time (Jul 2022 – Oct 2023)
    Python, SQL, Test Automation, Azure DevOps, Flask-based monitoring tools

  • National Instruments – Staff Engineer (Promotion) (Oct 2023 – Aug 2024)
    LabVIEW automation, DBT pipelines, cross-functional collaboration, innovation delivery

📊 Featured Projects

  • Report Plus (2021)
    Android app with 13,000+ users worldwide — designed to simplify student report and grade management, widely adopted across Africa.

  • AI Assistant for Northeastern CPS (2024)
    Presented alongside the Associate Dean — built using RAG, local LLMs, and embedding search to automate program FAQs.

  • Nestly – Smart Chore Splitting App (2025)
    A cross-platform app for shared apartments using gamified logic and smart notifications.

  • Student Marks App (2020)
    First Android project built for St. Philomena’s School during the pandemic.

  • Restaurant Mess Tracker (2022)
    Final year BCA project to manage student food usage via an Android-based system.

🚀 Skills & Interests

  • Data Engineering & AI: DBT, Airbyte, Apache Airflow, LLMs, NLP, GCP, AWS, Vector Search

  • Programming: Python, SQL, Flask, React Native, LabVIEW, Docker

  • Media Creation: Video editing, podcast production, 3D graphics, storytelling

  • Creative Endeavors: Political satire channel (2K+ subs), Podcasting (“Aatmavu Talks”)

✨ Philosophy

“Jack of all trades, master of none, but oftentimes better than master of one.”

I thrive at the intersection of multiple domains — combining engineering precision with creative storytelling. If you’re building something ambitious and human-centered, we’ll probably get along.

🌍 Connect