Building AI systems that don't just work — but work responsibly, reliably, and at scale.
I'm a Master's candidate in Data Science at the University of Texas at Arlington (graduating December 2026), actively exploring the intersection of agentic AI systems, LLM infrastructure, and AI governance through hands-on projects and open source contributions.
When I'm not in class, I'm building — autonomous agents, RAG pipelines, evaluation frameworks, and governance tooling that reflects how I think AI should be deployed: reliably, safely, and accountably.
- 🤖 Autonomous AI Agents — Multi-step reasoning · Tool use · Memory management · Anthropic Claude API
- 🔗 Multi-Agent Orchestration — LangChain · LangGraph · MCP Servers · CrewAI
- 📚 RAG & Knowledge Systems — FAISS · Chroma · Semantic Search · Embeddings
- 🛡️ AI Governance & Safety — Policy-driven drift detection · Agent trajectory evaluation
- 🧪 LLM Evaluation Frameworks — Benchmarking · Failure mode analysis · Output auditing
- ⚡ Production Systems — FastAPI · Docker · GitHub Actions CI/CD · AWS
- Agentic AI Systems — Building autonomous agents that perceive, reason, and act in production workflows using stateful graph-based systems, tool-augmented agents, multi-agent coordination, and memory management.
- AI Governance & Policy Enforcement — Contributing to governance tooling with statistical drift checks, policy-driven monitoring, and flexible agent evaluation workflows.
- RAG & Retrieval Systems — Developing end-to-end RAG pipelines with embedding optimization, chunking strategies, hybrid retrieval, reranking, and vector database management.
- 🔬 Advanced LLM Evaluation — red-teaming techniques, failure mode taxonomy, and building gold-standard ground-truth benchmarks for agentic systems
- 🏗️ Agent Infrastructure at Scale — distributed agent orchestration, stateful memory management, and multi-agent coordination patterns
- 🛡️ AI Safety & Governance Engineering — policy enforcement frameworks, model drift detection, bias auditing, and responsible AI deployment practices
- ⚙️ MLOps for Agentic Systems — experiment tracking, model versioning, canary deployments, and observability tooling for LLM-powered applications
I believe the next generation of AI won't be defined by how capable models are — it will be defined by how reliably, safely, and accountably they operate in the real world. That's the problem space I want to work in.
| 🔗 Project | 📝 Description | 🛠️ Stack |
|---|---|---|
| 🤖 Autonomous Multi-Agent Research System | Production-grade agentic AI backend with MCP servers, RAG pipelines, LangGraph workflows, Redis caching, PostgreSQL memory, token cost monitoring, and CI/CD | Python · LangChain · LangGraph · Claude API · MCP · FastAPI · Docker · PostgreSQL · Redis · FAISS |
| 📊 AI Data Storytelling Platform | 7-stage LLM orchestration pipeline that transforms raw datasets into interactive narratives with deterministic charting and Plotly visualizations | Python · Claude API · LangChain · React · FastAPI · Vite · TailwindCSS · Docker |
| 🔬 ViT Robustness Lab | Adversarial robustness evaluation framework for Vision Transformers with SHAP attribution, confidence scoring, and interactive failure analysis | Python · PyTorch · Vision Transformers · SHAP · Deep Learning · Adversarial ML |
| Project | Contribution | Status |
|---|---|---|
| Microsoft Agent Governance Toolkit | PR #2858 — Data drift governance checks using KS test, PSI, Chi-squared, and policy-driven enforcement | ✅ Submitted |
| Google ADK Python | Issue #4794 — ignore_args support for flexible tool trajectory evaluator comparisons |
🔄 In Progress |
📖 Assessment and Prediction of Urban Pollutants and its Influence on Human Health using Deep Learning Algorithm IEEE International Conference on Convergence in Technology (I2CT), 2024
- 🥇 Most Novel & Creative Award — Adversarial Robustness Framework for Vision Transformers (CSE-5360, Prof. Sihong He, Spring 2026)
- 📰 IEEE Published Researcher — Deep Learning for Urban Health Prediction, I2CT 2024
- 🎓 M.S. Data Science — University of Texas at Arlington (Jan 2025 – Dec 2026)
- 🎓 B.E. Information Technology — Don Bosco Institute of Technology, Mumbai University (2020 – 2024)
I'm actively seeking AI Engineer, Forward Deployed Engineer, ML Engineer, Applied Scientist, AI Governance & Safety Engineering roles for Fall 2026. Open to internships, co-ops, and contract roles. F-1 student with CPT/OPT authorization.
📧 allenjoshua1217@gmail.com | 📍 Arlington, TX | 🌐 Portfolio