BS Computer Science · UT Austin · Class of 2027
About Me
I'm a rising senior studying Computer Science at UT Austin, where I split my time between building production AI systems and pushing the boundaries of machine learning research.
My work spans the full stack — from Transformer architectures and RAG pipelines to Kubernetes deployments and Reddit-integrated apps. I'm drawn to problems at the intersection of math, finance, and engineering, which led me to place top 0.8% globally in IMC's algorithmic trading competition out of 12,620 teams.
Before Austin, I was solving math olympiad problems for fun — qualifying for the Indian National Math Olympiad and placing in the top 2% on India's most competitive entrance exams. That same precision and drive is what I bring to every project I build.
Awards & Recognition
From national mathematics olympiads to global algorithmic trading — a track record of elite performance.
Work & Research
Production engineering and ML research at UT Austin — building real systems, not toy projects.
.parquet formatProjects
Production deployments, AI systems, and cloud-native infrastructure — end to end.
Tech Stack
Life Outside the Terminal
Bachata is my favorite — there's something about the rhythm, connection, and musicality that's completely addictive. I love how it blends culture, movement, and expression into something you feel rather than just perform.
Playing guitar is how I decompress. Whether I'm fingerpicking a slow melody or strumming through a bachata rhythm, music keeps me grounded when code gets complicated.
Contact
Open to SWE internships, ML research roles, and conversations about AI, trading, or hard math problems.