Data Science | Statistics | @ Rutgers University, New Brunswick -- I build systems where models meet infrastructure. Python for modeling, Rust for the hot path, LLMs for reasoning.

Kernel-enforced cleanup on wrapper exit. Windows uses a Win32 Job Object with JOB_OBJECT_LIMIT_KILL_ON_JOB_CLOSE, Linux uses systemd-run --user --scope with cgroup.kill on kernel 5.14+ and falls back to setpgid + a bash trap on older kernels and WSL1. macOS is supported at a documented honesty ceiling using setpgid + a disowned out-of-process watchdog, pinned by a negative test that proves the failure mode rather than hides it. 78 tests across PowerShell and bash, CI matrix on all three platforms.

15-60 second build demos in a TikTok-style vertical feed for shipped GitHub projects. 33 numbered Postgres migrations behind a Codex adversarial-review CI gate that blocks the PR if a reviewer's findings haven't been answered in the diff. GDPR Article-17 erasure is wired into automated PII drift checks that fail the build if personal data leaks into a new column.

Local prop EV engine covering projection modeling, multi-book line sweep, probability calibration with isotonic regression, 8-layer signal gating, historical backtesting against 9M+ odds snapshots, and CLV-tracked paper trading. FastRust is a companion Rust compute engine via PyO3 that handles the hot-path EV math with GIL-releasing batch parallelism, drop-in replaceable with the Python compute_ev().

Wrote the rendering engine from scratch (no Phaser or Pixi) with A* pathfinding, 4-directional sprite animation, and map transitions. 10 NPCs each route to their own LLM provider (Anthropic, xAI, Ollama, or local subprocess). Agents consult each other mid-conversation through tool-call delegation, so the world's state is shaped by inter-agent negotiation, not scripted dialogue trees.

RedLine -- SEC filing change detection with local LLM analysis

Watches any SEC-reporting company on EDGAR. When a new 10-K or 10-Q drops, diffs each section against the prior filing at the sentence level using cosine similarity and greedy bipartite matching, flags material changes against 9 red-flag patterns, and runs risk scoring through a local Ollama model. No paid APIs, no cloud dependencies.

Python Ollama EDGAR cosine similarity bipartite matching

StormLink -- Multi-agent disaster response dashboard (HackUSF 2026, Best Use of ElevenLabs)

Co-built a multi-agent platform that routes live NOAA and FEMA feeds through Google ADK agents over the A2A protocol, with ElevenLabs voice alerts surfacing material weather events in real time. Wrote the AgentPanel component that visualizes the routing pipeline with animated data packets and elapsed timers.

Google ADK A2A protocol Gemini 2.5 Flash ElevenLabs Next.js 16 FastAPI Leaflet

InternPilot -- Automated job application pipeline

Pipeline that scrapes 13 job sources (JSearch, Greenhouse, Lever, Indeed, LinkedIn, Handshake, and more), scores postings against a resume profile, auto-fills ATS forms via Playwright across Greenhouse, Workday, Lever, Ashby, iCIMS, and SmartRecruiters, and drafts cover letters through a local LLM. Currently tracking 127 target firms.

Python Playwright Ollama FastAPI APScheduler

nemotron-reasoning-challenge -- Autonomous fine-tuning pipeline

Daemon that loops through 10 stages: Claude-powered math CoT generation, QLoRA SFT via Axolotl, GRPO reinforcement learning, vLLM eval, failure diagnosis, and Kaggle submission. Deadline-aware strategy that shifts from exploration to exploitation as the June 2026 deadline approaches.

PyTorch Axolotl trl GRPOTrainer vLLM Claude API