Bridging scalable data engineering with transparent, responsible AI. Specializing in Python, TypeScript, React, and PyTorch.
Tools that prove the thesis.
Four projects at the intersection of scalable systems and responsible AI — a VS Code fairness debugger, a galaxy morphology explainability study, a causal-graph fairness library on PyPI, and a year of published research.
FairLint-DL
A deep-learning-based fairness debugger that ships as a VS Code extension. It wraps a custom PyTorch DNN around a two-phase gradient-ascent counterfactual search, cutting auditing time by 40% via real-time causal analysis.
Select a galaxy type, architecture, and XAI method. Run the explainer to overlay attention heatmaps and see faithfulness scores.
Galaxy Morphology XAI
A systematic evaluation of post-hoc explainability for astronomical AI — comparing Grad-CAM, LIME, Integrated Gradients, and GradientSHAP across four CNN architectures on Rubin LSST-scale galaxy surveys. No single method wins universally; the right choice depends on architecture, dataset, and the faithfulness criterion the scientist prioritizes.
relfair
Relationship-aware counterfactual fairness testing. Propagates protected-attribute interventions through a causal DAG so flips stay on the data manifold — detecting 3–4× more discrimination than naive flipping on Adult, ACS, and German Credit.
Research Publications
Three peer-reviewed venues. Ascend.ai at ICDSA 2024, Automated Disaster Image Classification at ICSISCET 2023, Multi-Agent Simulators for Social Networks at NeurIPS 2023 MASec.
Five roles. One throughline.
Research labs, open-source foundations, and a simulation company — all asking the same question: how do we build systems that stay accountable at scale?
Research Assistant
aug 2025 — present- Architected Python pipelines processing 8.5M+ OD pairs (300GB+ data).
- Containerized routing engines via Docker across 2,926 zones.
- Engineered Next.js/FastAPI freight toolkit tracking crash metrics across 285+ municipalities.
Open-Source Software Engineer · GSoC
may 2025 — aug 2025- Developed RESTful API via FastAPI and PostgreSQL/PostGIS for real-time road closures.
- Built React map interfaces with OpenLR encoding.
- Automated CI/CD via GitHub Actions.
Research Assistant
feb 2025 — may 2025- Constructed geospatial analysis pipelines (OSMnx) to map Chicago's road network.
- Engineered graph-based cycle detection models to identify traffic congestion zones.
Research & Web Engineer
mar 2023 — jul 2024- Designed Next.js/FastAPI ethical-AI platform.
- Scraped 2,300+ Stormfront threads into BigQuery.
- Led data team analyzing 80M+ YouTube comments for misinformation — cut analysis time by 30%.
- Built Neo4j graph visualizers (20K+ nodes).
AI Engineer
dec 2023 — jun 2024- Led 14 engineers building a gamified virtual marketplace via React.
- Platform ran behavioral simulations with 2,000+ participants and autonomous LLM agents.
A working vocabulary.
Dense, terminal-style listing — because engineering starts with the primitives you can actually reach for at 2am.
But what are skills without Agent Skills?
A collection of custom Claude Code skills I use daily — with copyable SKILL.md files so you can drop them straight into your own setup.
Written. Reviewed. Built.
3 peer-reviewed publications + 4 technical reports across explainable AI, responsible ML, disaster response, social networks, and causal inference.
Galaxy Morphology XAI
Deep learning classifiers are now standard tools for automated galaxy morphology classification at the scale demanded by next-generation ast…
LLM Toxicity Mitigation
Large Language Models (LLMs), when trained on web-scale corpora, inherently absorb toxic patterns from their training data. This leads to "t…
YouTube Misinformation Detection
YouTube serves as a major conduit for viral, multilingual political narratives, particularly during global conflicts. This project investiga…
HTE Benchmarking
This research focuses on benchmarking heterogeneous treatment effect (HTE) estimation algorithms in networked environments to enhance our un…
Ascend.AI
The proposed approach embarks on an intricate and comprehensive exploration of advanced and innovative technologies to enhance interview ski…
Multiagent Social Simulators
Multiagent social network simulations are an avenue that can bridge the communication gap between the public and private platforms in order …
CNN Disaster Classification
Natural disasters act as a serious threat globally, requiring effective and efficient disaster management and recovery. This paper focuses o…
Hire a builder who questions the model.
I'm actively interviewing for summer / full-time roles in AI infrastructure, fairness tooling, and applied ML. Let's find a problem worth debugging together.