i'm an honors CS student at penn state, and i like building software around problems i actually have — systems i can use every day rather than one-off demos.
Nytr started from one of those problems: penn state dining changes every day, but nutrition and training targets don't. i built it to combine Stacks Market availability, HealthKit data, food logs, and training history into deterministic daily guidance.
right now, i'm going deeper into LLMs, agentic systems, backend infrastructure, and systems/performance engineering.
python typescript c++ swift postgresql pgvector fastapi node docker linux git
Nytr · case study · swift, python, fastapi, postgresql
Evidence-driven decision system built around Penn State Harrisburg's Stacks Market. Combines daily dining availability with HealthKit, food logs, and Hevy training history to produce deterministic meal and training guidance in a native iOS app.
Clage · python, algorithms from scratch
Neuroevolution of Augmenting Topologies (NEAT) implemented from first principles in a 2D bounded simulation world. 300 unit and integration tests, zero ML library dependencies, validated against OR, AND, XOR, and sine wave benchmarks across fixed seeds.
Devvy · typescript, devtools
Local daemon for coordinating Discord Rich Presence across developer tools. Speaks Discord's IPC protocol directly with arbitration, TTL expiry, heartbeats, and reconnect handling.
ScholarAI · python, postgresql, pgvector
Data engineering for a government-scheme discovery platform indexing 1,000+ Indian government programs. Built normalization, embeddings, and PostgreSQL/pgvector ingestion as part of a 5-person hackathon team.
