Hrishi Kabra.
Junior at Tulane. Production person-resolution pipelines at Louisa AI, a paper at AAMAS 2026, and a habit of building end-to-end — from the optimizer to the deploy button.
I study computer science and mathematics, publish research on multi-agent voting, teach 50+ students as a TA, and spend the rest of my time underwater — a PADI Master Diver thinking about how intelligent systems and ocean conservation meet.
3.95 GPA · South Asian Scholar full-tuition award · Dean's List every semester · Graduating May 2028
The stack, dealt out.
PROJECTS
Software Engineer Intern, Embedded AI
Production person-resolution and enrichment pipelines — a confidence-gated LLM identity judge that keeps wrong-person data out of enriched records, a fallback pipeline that reconstructs profiles from open-web sources, and single-call extraction orchestrated in Airflow DAGs.
Research Assistant
Co-authored a paper accepted at AAMAS 2026 on optimal voting rules — positional-scoring optimizers via simulated annealing, gradient descent, and mixed-integer programming over large-scale preference datasets. Now reframing RAG top-k truncation as a proportional committee election.
Undergraduate Teaching Assistant
CMPS3160 Intro to Data Science and CMPS1500 Intro to CS I — weekly labs and office hours teaching Python, pandas, and core CS fundamentals to 50+ students.
AI/ML Engineer Intern
Shipped a production NLP pipeline using custom spaCy NER to extract structured fields from noisy OCR across financial and identity documents — ~97% extraction precision, automated KYC and form-digitization workflows.
Open to SWE and AI/ML internships. Let's talk.
Research, projects, F1 hot takes, or dive stories — my inbox is open. Or use the terminal; it actually works.
Send me an email →