Arnav Verma
AI Engineering & Research
I work on language model safety and evaluation, and the systems that make that practical. Currently a Master's student at NYU Courant, focused on efficient training for multimodal models.
📍 New York, NY
Education
New York University, Courant Institute of Mathematical Sciences
Expected 05/28
M.S. Computer Science
Courant Institute of Mathematical Sciences · New York, NY
Affiliations
- Tech@NYU
- HackNYU
- IEEE Computer Society
Coursework
- Fundamental Algorithms - Yap CheeIn progress
- Machine Learning - Kyunghyun ChoIn progress
- Deep Learning - Yann LeCunnIn progress
University of North Texas
01/23 – 05/26
B.S. Computer Science · Mathematics Minor
Dallas-Fort Worth, TX · GPA 3.70
Affiliations
- Responsible AI Lab
- UNT Computer Science Club
- UNT AI Research Program
- IEEE Computer Society
Awards & Honors
- President's List
- Dean's List
- Undergraduate Research Fellowship
- International Education Scholarship
- 1st Place — HackSMU '24 & '25, HackUNT '23 & '24
- 2nd Place — HackUTD '24 · Runner-up — HackTX (UT Austin)
Coursework
- AlgorithmsA+
- Artificial IntelligenceA+
- Natural Language ProcessingA+
- Linear AlgebraA+
- Data StructuresA
- Operating SystemsA
- Database SystemsA
- Computer NetworksA
- Discrete MathematicsA
- Probability & StatisticsA
Research
Papers and preprints. Status is stated on each — nothing here claims more than it is.
On the Sample Efficiency of Morsel-Parallel Query Planners
2026C. Coauthor, Arnav Verma
Under review, 2026
Cost models for single-machine analytical workloads, and where the usual cardinality assumptions stop holding.
Projects
A few things I've built and written up.
Writing
Posts on things I've worked through and wanted to explain properly.
Adapting LLaMA for NER Tasks
24 September 2025 · 7 min read
Customize your models using PEFT. Fine-tuning LLaMA 3.2 1B for token classification with LoRA adapters and 4-bit quantization, on a single GPU.
- Large Language Models
- LLM Finetuning
- NLP
- AI
- Llama 3
Skills
Tools I reach for most often, shaded by how well I know them.
- Daily driver
- Working knowledge
- Beginner
Languages
- Python
- C/C++
- JavaScript
- TypeScript
- Rust
- Flutter
AI / ML
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- NumPy
- Pandas
- HuggingFace
- LangChain
- LlamaIndex
- Ollama
- Pinecone
- JAX
- vLLM
- TensorRT
- n8n
- Gradio
- Streamlit
- Chroma
- OpenCV
- YOLO
- spaCy
- ONNX
Libraries & Frameworks
- Flask
- FastAPI
- Express
- Next.js
- React
- React Native
Tools
- Docker
- Terraform
- PostgreSQL
- MongoDB
- Claude Code
- OpenClaw
- Kubernetes
- Jenkins
- Ansible
- Google AI Studio
Concepts
- AI Agent Development
- Software Development
- DevOps
- API Development
Last year on GitHub
854 contributions
Certifications
Courses and credentials I've completed.
Deep Learning Specialization
14 March 2026
DeepLearning.AI · five courses covering neural networks, optimisation, convolutional models and sequence models.
Contact
Happy to talk about research, collaborations, or interesting problems.