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Kaveesh81/README.md

Kaveesh Passari

Software engineer and builder working at the intersection of AI, commercial real estate, and applied data systems.

I like turning fragmented, high-friction workflows into software that produces clear decisions and measurable action.

Current work

  • Acreon — building intelligence infrastructure for commercial real estate: entity resolution, relationship context, prospect prioritization, and workflow automation.
  • The CRE Brief — developing an automated commercial real estate news and market-intelligence publication.
  • Industry systems — applying software directly inside brokerage and development workflows to understand where data and coordination break down.

Selected projects

Project What it demonstrates
RL + LLM Trading System PPO reinforcement learning, custom Gymnasium environments, FinBERT sentiment features, and controlled ablation experiments
Aviation Flight Logbook Native SwiftUI development, Core Location, AVFoundation, sensor-driven event detection, and mobile product thinking
ML@SJSU Project Platform React, Spring Boot, MySQL, OAuth 2.0, Docker, and approval-based full-stack workflows

Technical focus

TypeScript · React · Next.js · Python · Machine Learning · Java · Spring Boot · PostgreSQL · Supabase · Docker · SwiftUI

Background

  • B.S. in Computer Science with a Physics minor from San José State University
  • Research experience in quantum computing and neural-network quantum states
  • FAA Private Pilot
  • Built and operated a rental business serving more than 4,000 customers

Connect

LinkedIn · The CRE Brief

Pinned Loading

  1. aviation-flight-logbook aviation-flight-logbook Public

    SwiftUI prototype for automatic general-aviation flight logging using GPS and microphone signals.

    Swift 1

  2. mlatsjsu-project-platform mlatsjsu-project-platform Public

    Full-stack ML@SJSU project and membership platform built with React, Spring Boot, MySQL, and Docker.

    Java

  3. rl-llm-trader rl-llm-trader Public

    Experimental PPO trading agent comparing price-only signals with FinBERT news sentiment.

    Python