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Reinforcement Learning, Simulation, Optimization Jan 2026
A custom Gym-compliant multi-agent environment modeling stochastic ride-share demand with partial observability and dispatch latency. Trained PPO/SAC agents across 5M+ timesteps, achieving +15% GMV vs greedy and Hungarian baselines. Focused on reward shaping, stability, and robustness under demand shocks. [Link]
Developed using Gymnasium, and Stable Baselines 3
AtlasMarket: Why RL + Optimization is the Future of Dispatch
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Data Science, Web Scraping, Visualization Jan 2023
Analyzed Covid-19 and inflation-caused mass layoffs in tech industries, comparing company sizes and Key Performance Indicators. While Covid-19 tech layoffs affected early-stage and IPO companies, recent layoffs affect more IPOs [Link]
Developed using Selenium, Pandas, Statsmodels, and Seaborn
An Empirical Deep Dive into the Past 3 Years of Tech Layoffs
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Front-end, Back-end, Visualization, Startup Idea Jun 2022 — Present
Stock Search is a website which displays historical stock price data at 30 min intervals for 450+ companies for the past several months, going beyond what Google & Yahoo offer [Link]
Developed using Svelte, SvelteKit, Chart.js, Tailwind CSS, DaisyUI, MongoDB, and Vercel
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Machine Learning, Computer Vision Oct 2022 - Nov 2022
In this class project, I designed & tested several neural network architectures to try and predict facial keypoints. I started by predicting the location of the nose. Then, I made my own neural network to predict all 58 facial keypoints. Next, I moved to a larger dataset and used a modified pre-trained ResNet model. Lastly, I explored pixelwise classification instead of regression [Link]
Developed using Python, PyTorch, Matplotlib, Skimage
