I like building things and figuring out what could go wrong before they ship.
Software engineering × Security
My brother, Simba.
Experience
Lawgical
Software Development Engineer Intern
Jun 2025 – Aug 2026
San Francisco, CA
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Joined as the startup’s second engineer; shipped 390+ production pull requests and built full-stack services supporting growth from 0 to 15+ US law firm customers in one year.
Owned features from problem definition and system design through implementation, testing, and production readiness; made technical decisions and coordinated delivery with stakeholders.
Engineered a graph-based legal-intake questionnaire system using NestJS, TypeScript, and Supabase/PostgreSQL, with conditional branching, batched question delivery, flow validation, and row-level security.
Designed an asynchronous video-processing pipeline using FFmpeg and Cloud Run Jobs, with signed uploads and idempotent database operations to support safe retries; addressed database scaling limitations using PostgreSQL RPCs.
Built AI-powered intake and follow-up workflows integrating ElevenLabs, Twilio, OpenAI, and Vertex AI, including browser-based voice calls, webhook processing, and lead scoring.
Automated testing and deployment workflows with GitHub Actions CI/CD and structured cloud logging; reviewed pull requests for architecture, security, correctness, and maintainability.
Led SOC 2 Type II readiness and HIPAA compliance efforts; remediated penetration-test findings involving XSS, CSRF, authentication, session management, and access control, and automated dependency-security checks.
U4U
Tech Intern
Jan 2024 – Jun 2024
Berkeley, CA
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Collaborated with a cross-functional team to build educational and wellbeing platform features for teen girls, including Fit Crush and a compatibility-check game based on user-engagement goals.
Education
University of Washington
M.S. Computer Science & Software Engineering
2026 – present
Bothell, WA
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My first quarter at the University of Washington, studying parallel computing and how to build more secure software systems.
Current coursework
Parallel Programming in Grid and Cloud
Shared-memory and message-passing programming with OpenMP and MPI.
Task and data parallelism with MapReduce and Spark; benchmarking parallel performance and managing parallel jobs.
B.Tech (Hons.), Computer Science, Minor in Fintech
2022 – 2026
Bangalore, India
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Bangalore, India. Minor in Fintech.
Selected work
A few things I’ve built
01
Learnify
Less noise. Better learning.
Learning platform
The starting point
I built Learnify because getting an answer isn’t the same as understanding a topic. When I used ChatGPT to study, I often ended up with more information than I needed and too few visuals to make things click. I wanted something more focused: clear explanations, visual learning material, and questions to check what I’d understood.
6
professors used it in class
63+
students prepared for a quiz
Beyond the project report
Six professors at RV University used it to cover topics in class, and more than 63 students used it to prepare for a class quiz. Students told me it helped them earn better grades, and classmates later returned to it for exam preparation. What started as a project for my report became something people actually chose to study with.
Next.js
Supabase
Tailwind
02
Japan Visa Data Analysis
Making messy data useful.
Data engineering
The starting point
This one started as a requirement for my data engineering course. I chose Japan’s visa data as a way to explore a practical question: how do you turn scattered public records into trends someone can actually understand?
What I learned
Before I could answer that, I had to make the data consistent—cleaning records, reconciling country names, and standardizing datasets with PySpark. I then built interactive visualizations to explore the results. The project taught me how much of useful data engineering happens before you ever draw a chart.
PySpark
Plotly
Python
03
ColdChain IQ
The route matters as much as the destination.
Route intelligence
The starting point
The idea started with spoiled groceries. My friends and I had ordered food that arrived in poor condition, and it made us question what happened between dispatch and delivery. Conversations with people in healthcare brought up a more serious version of the same problem: temperature-sensitive vaccines going to waste.
What we built
We built ColdChain IQ to explore how delivery routes could account for heat exposure alongside distance. Using heat-island data, route information, and temperature thresholds, it assesses where spoilage risk could rise along a journey. Our goal was to help delivery teams choose routes that better protect what they’re carrying.
Python
GeoPandas
Streamlit
Tools I work with
01
Languages
Java
JavaScript
TypeScript
Python
C
02
Web & databases
React
Next.js
NestJS
Node.js
Tailwind CSS
PostgreSQL
Supabase
RPCs
webhooks
03
Cloud & quality
GCP
Cloud Run Jobs
GitHub Actions
CI/CD
automated testing
structured logging
04
AI & data
OpenAI APIs
Vertex AI
ElevenLabs
OpenAI Codex
PySpark
GeoPandas
Plotly
Leadership & recognition
Vice President, Sponsorship & Fundraising, E-Cell RV University · Mar 2023 – Feb 2024
