Tirth Joshi
Artificial Engineer and International Tutor
Tirth Joshi
Master’s student in Artificial Intelligence (Yeshiva University, NYC).
AI engineer building systems at the intersection of LLMs, security, and graph-based blockchain routing.
Current focus: LLM-based vulnerability detection, multi-chain routing graphs, scalable ML, and topological ideas for optimization.
Highlights (2025–2026)
- IEEE ICNC 2026: invited paper accepted (with Prof. Honggang Wang)
- Best Research Award, YU CSE Research Day
- DuckAI poster, Stevens Institute of Technology
- Research Assistant, Prof. Shucheng Yu
- 4.0 GPA (graduate)
Research
I work across applied ML and theory-driven systems:
- Smart contract / DeFi security: LLM-aided vulnerability detection and analysis
- Graph routing for multi-chain ecosystems: hierarchical representations and dependable/independent node constraints
- Scalable ML: retrieval, compression, and system design for tool-using LLM applications
- (Selective) Topology + optimization: topological structure in non-convex landscapes and optimizers
Publications & Writing
- Hierarchical Graph Representation for Multi-Chain Blockchain Routing — IEEE ICNC 2026 (Invited), PDF
- Traveling Salesman Problem Using Quantum Computing — The Quantastic Journal (Medium)
Experience
AI Engineer — DZap (Sep 2024 – Present)
- Graph-based modeling of cross-chain token relationships
- Tool-using LLM interfaces for blockchain workflows
ML Intern — ComputeLib (Jun 2023 – Jul 2024)
- MVC gateway for microservices; improved performance and uptime
- Clean-architecture services (gRPC + REST)
- Flask LLM app with JWT/security; optimized response times
- Worked with Hugging Face/Open LLM stacks + vector DBs (FAISS/Chroma/Qdrant/Pinecone)
Teaching & Service
- Global Guide, One To World (150+ students)
- Section Leader, Code in Place
- Mentor, DevFest Hackathon (Columbia University)
- Volunteer, Jersey City Marathon
Selected Projects
- Build Your Own Story — interactive branching storytelling with LLM-generated prompts + images
- Re-ID / Realness Index API — face comparison API
- Additional work spans DeFi routing graphs, agentic systems, and data pipelines
Skills
Languages: Python, TypeScript/JavaScript, Java, C/C++, SQL
ML/DS: PyTorch/TensorFlow, scikit-learn, LangChain, vector databases
Backend: Flask, Express.js, REST APIs, microservices, JWT security
Data: PostgreSQL/MySQL, Firebase, embeddings + retrieval systems
Contact
- LinkedIn: https://www.linkedin.com/in/tirth5828/
- GitHub: https://github.com/tirth5828/