The Search for Elsewhere
I didn't start with machine learning. I started with design — building interfaces, thinking about how people interact with technology. But somewhere along the way I got pulled deeper. From UI/UX I moved into core ML, drawn by the idea that you could teach machines to find patterns humans couldn't see.
Then I looked up. Literally. The same tools I was learning could be pointed at the night sky — at exoplanets, at the question of whether other worlds could hold life. I'm an astrophile who found his instrument.
UI/UX Intern · UptoSkills
“Designed user interfaces and interaction flows for real products.”
GDG on Campus Organizer · Geethanjali College
“Founded and led the Google Developer Group chapter on campus.”
Anchor · DevFest 2025, Hyderabad
“Selected as on-stage anchor for Google's flagship developer festival in Hyderabad.”
GCTC Portal Administrator · Geethanjali College
“Sole student selected to administrate the college student-run portal.”
Exoplanet Habitability Research
“Building a novel habitability scoring pipeline for tidally locked exoplanets using ESI, HZD, SEPHI, and a new TLHI framework.”
Professional Experience
UptoSkills
Led a team as Senior Team Lead, managing end-to-end delivery of 6 medium-complexity UI/UX projects within a 3-month timeline.
Computational Artifacts
A three-tier approach to find habitability of exoplanets. Processed 5,000+ exoplanet candidates from NASA Exoplanet Archive through a 3-stage scoring pipeline (ESI → HZD → SEPHI), applying a radius filter of < 1.6 R⊕ to isolate rocky planet candidates. Modeled tidal locking probability using stellar age and lock timescale to produce a blended habitability score, narrowing candidates to a ranked shortlist with a composite index.
Built a regression-based ML model to predict household power consumption, applying feature engineering and data preprocessing pipelines using NumPy and Pandas. Evaluated model performance using scikit-learn metrics (MAE, RMSE) and visualized consumption trends and feature importance using Matplotlib and Seaborn. Built as part of a 3-member team
Collective Empowerment
Founded and established the GDG on Campus chapter at Geethanjali College of Engineering and Technology. Achieved Tier 3 in the Google Cloud Campaign and hosted GSoC awareness sessions for students.
Selected as one of the college's student administrators for gctcportal.in — a competitive, single-seat annual appointment. Managed academic notifications, marks updates, and college announcements via the portal and official Instagram handle. Served as Sub Core – Technical for the college fest committee, overseeing technical event coordination.
Instruments of Inquiry
Programming Languages
Python, Java, C, HTML, CSS, JavaScript
Libraries / Frameworks
NumPy, Pandas, scikit-learn, Matplotlib, Seaborn
Tools / Platforms
GitHub, VS Code, Figma, Jupyter, Google AI Studio, Firebase Hosting
Databases
MySQL
Let's map the transits together.
Open to research collaborations, ML engineering roles, and conversations about exoplanets. If you're working at the intersection of AI and space science — let's talk.