Computer Science & Math @ NYU

Hi, I'm Rishika.

I build AI-powered training tools, data pipelines, and web apps. I’ve worked at Mentivista (AI/EdTech), OptumInsight, and NYU Courant on AI-driven financial advisory systems.

View Projects Get in touch
rg4929@nyu.edu • LinkedIn • GitHub

Currently

  • OSIRIS Lab Member – NYU Cybersecurity
  • AI Engineer – Mentivista
  • B.A. Computer Science & Math – NYU

About

I'm an NYU student (CS + Math, Business minor) interested in AI engineering, data systems, and security. I like taking fuzzy, real-world workflows—onboarding, training, reporting—and turning them into repeatable products with Python, SQL, and web tech. I’ve built RAG pipelines, multi-page web apps, and ETL/reporting flows for underwriting teams.

Education

New York University, New York, NY

B.A. in Computer Science & Mathematics, Minor in Business Studies

Aug 2024 – May 2028

Coursework: Data Structures, Computer Systems Organization, Basic Algorithms, Discrete Mathematics, Linear Algebra, Calculus III, Math for Economics, Micro/Macro, Financial Accounting

What I like building

  • AI/chatbot training experiences for staff
  • Secure, company-specific content libraries
  • Data dashboards and automations

Experience

OSIRIS Lab Member

NYU Center for Cyber Security • Brooklyn, NY • Sep 2025 – Present
  • Designing and creating CTF challenges.
  • Supporting team for CTFTime competitions.

AI & Software Development Engineer

Mentivista (EdTech Startup, NYU Leslie eLab Launchpad Cohort) • June 2025 – Dec 2025
  • Developed an AI-powered voice training platform for medspas/salons/wellness businesses so staff can practice client interactions using natural language AI.
  • Built RAG pipelines on industry manuals (LangChain) to create domain-specific agents for customer service and sales training.
  • Reduced onboarding time by ~40% with automated, interactive voice role-play and real-time feedback.

Data Engineer Intern

OptumInsight at UnitedHealth Group • Boston, MA • June 2025 – Aug 2025
  • Built a centralized SQL database to consolidate underwriting data from multiple sources.
  • Developed ETL pipelines in Python/SQL and integrated with Power BI for real-time reporting.
  • Cut report turnaround time by 50% by automating data preparation.

Undergraduate Research Assistant

NYU Courant Institute • Aug 2024 – Present
  • Research with Prof. Dennis Shasha on AI-driven financial advisory systems.
  • Built Python data pipelines for sector-level analytics and automated stock market data extraction.
  • Developed dynamic multi-page web app (HTML/CSS/JS) integrating backend APIs for AI insights.

Projects

SemFlow

JavaScript, HTML/CSS, Python • Sep 2025

Weekly planner that ingests course syllabi, class spreadsheets, and documentation to automatically generate an optimal semester plan aligned with extracurricular commitments.

  • Parsing & normalization in Python to extract deadlines/meeting times.
  • Responsive web UI to display structured schedule.

Tanasense

Node.js, React, Arduino IDE • Jan 2025 – May 2025

Gamified CPR training simulation with a physical device that captures compression accuracy, depth, and rhythm for realistic feedback.

  • Integrated hardware sensors via Arduino.
  • Finalist in NYU Tandon InnoVention Competition; received $500 in funding.

AI Training Platform (Mentivista)

FastAPI, LangChain, Supabase, Vercel

Domain-specific conversational agents that turn internal manuals into interactive role-play for staff training.

Technical Skills

Languages

Java, Python, C/C++, SQL (MySQL), JavaScript, HTML/CSS

Developer Tools

Git, VS Code, Visual Studio, Eclipse, CLion, Google Colab, Figma, React

Focus Areas

AI/RAG systems, data pipelines, web apps, security/CTF

Contact

If you want to talk about AI training products, data engineering, or internships, reach out 👇

Email: rg4929@nyu.edu

LinkedIn: linkedin.com/in/RishikaGautam9

GitHub: github.com/RishikaGautam