I like to tinker with mobile systems, backend infrastructure, and applied AI/ML.

Worked on mobile applications used by public safety agencies and supporting backend services.

Highlights:

• Built and maintained production iOS systems used by emergency responders
• Worked across mobile clients and backend services supporting real-time messaging
• Contributed to infrastructure supporting mission-critical communications
• Experimented with building ML pipelines

A native iOS and Android plant care application exploring plant health tracking, reminders, sensor integrations, and backend services.

Highlights

• Iterated on the PlantPal product across multiple iOS implementations
• Built supporting backend infrastructure including push notifications and gRPC services for caching responses from various plant APIs
• Explored cross-platform implementations and service-oriented architectures

Swift SwiftUI Kotlin Rust Android gRPC Postgres APNs

Repos

• iOS app (early version)
  https://github.com/am7590/PlantPal

• iOS app (newer architecture)
  (private for now - join the testflight: https://testflight.apple.com/join/NI5fZIlp)

• Android version
  https://github.com/am7590/PlantAndSucculentApp-Android

• Backend gRPC service
  https://github.com/am7590/PlantPal-GRPC-Postgres

• Push notification service
  https://github.com/am7590/PlantPal-APNs

iOS social media app for gourmet mushroom enthusiasts with backend-driven content feeds and real-time data retrieval.

Highlights

• Built a mobile client for a instagram-style feed system
• Explored backend-driven feed architectures and API integration
• Implemented feed loading, pagination, and content rendering patterns

Swift SwiftUI iOS FireStore/Firebase

⚠️ Warning: This was my first actual programming project and I had no idea what I was doing ⚠️ 🔗 https://github.com/am7590/MushFeed

iOS app exploring stock market trend analysis with supporting API.

Highlights

• Built a financial insights mobile client
• Integrated with a backend caching API for financial data retrieval

Swift UIKit

Repos

• Mobile client
  https://github.com/am7590/Stock-Trends-Insights

• Backend caching API
  https://github.com/am7590/Finance-App-Caching-API

Reinforcement learning trading system that deploys trained agents into live paper trading environments.

Highlights

• Integrated RL models we trained with FinRL with Alpaca paper trading
• Implemented live trading loop and evaluation tooling
• Built monitoring for strategy performance and showed live trading recordings at Imagine RIT 2025

Python FinRL Stable-Baselines3 Alpaca API

🔗 https://github.com/am7590/FinRL-Paper-Trading

Experimental system for modeling relationships between financial assets as a graph structure.

Highlights

• Built asset correlation and dependency graphs between data sources, analysis nodes, and LLMs
• Demonstrates graph-based analysis for portfolio insights

🔗 https://github.com/am7590/AssetGraph

Multi-agent financial analysis framework using LLMs.

Highlights

• Extended the framework for custom research agents
• Added an API wrapper layer around FinRobot to demo a financial report generation chat interface at Imagine RIT 2025

Python LLMs LangChain RAG Chain of Thought

🔗 https://github.com/am7590/FinRobot

Fork of the FinRL deep reinforcement learning trading library used for experimentation and research.

Highlights

• Trained multiple reinforcement learning models for trading (PPO, DDPG, A2C/SAC, TD3)
• Integrated custom environments and datasets and compared results to benchmarks

Python Deep Reinforcement Learning Stable-Baselines3

🔗 https://github.com/am7590/FinRL

Research project evaluating object detection and tracking pipelines for AV perception systems.

Highlights

• Benchmarked multiple detection and tracking architectures for edge devices
• Implemented evaluation tooling for model comparison

Python Computer Vision Object Detection

🔗 https://github.com/am7590/Evaluation-of-Object-Detection-and-Object-Tracking-Models-for-AV-s

Backend services focused on caching, financial data retrieval, and API design.

Highlights

• Implemented Redis-backed caching layer for financial data
• Containerized services for reproducible environments

Python Redis Docker API Design

Repo https://github.com/am7590/Finance-App-Caching-API