AV

Arnav Verma

AI Engineering & Research

I work on language model safety and evaluations, representation learning and the systems that make it practical. Currently a Masters student at NYU Courant. Currently working on efficient training and evaluation of multimodal models.

๐Ÿ“ New York, NY

Latest
  • Passed the CKAD exam โ€” Certified Kubernetes Application Developer
  • Paper accepted to Findings of AACL-IJCNLP 2026
  • Started the M.S. in Computer Science at NYU Courant
  • Check Out Marigold - An App to help you study

Education

  1. New York University, Courant Institute of Mathematical Sciences

    Expected 05/28

    M.S. Computer Science

    Washington Square Campus, 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
  2. University of North Texas

    01/23 โ€“ 05/26

    B.S. Computer Science ยท Mathematics Minor

    Dallas-Fort Worth, TX ยท 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 โ€” HackSMU '24 & '25, HackUNT '23 & '24
    • 2nd Place โ€” HackUTD '24 ยท Runner-up โ€” 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. Currently submitted, under review or published

  1. Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks

    Iqbal, F., Dutt, R., Das, S., Verma, A., Ray Choudhury, S.

    Findings of AACL-IJCNLP 2026. Accepted.

  2. Do Large Language Models Reason Causally, or Just Pattern Match? A Multi-Strategy Evaluation

    Verma, A., Iqbal, F., Das, S, Ray Choudhury, S.

    Under review at A* conference

Projects

A few things I've built and written up.

  1. Marigold - Turn Lecture Notes to Timed Quizzes and Flashcards

    Upload a PDF of your notes, get flashcards generated from it, study them, then take a timed quiz on the same material and see exactly what you missed. Re-reading feels like studying; being asked and getting it wrong is what sticks.

    • React
    • FastAPI
    • SQLite
    • Gemini
  2. Monte Carlo Options Pricer

    A Monte Carlo engine for pricing European and American options. With variance reduction, Greeks, and alternative asset dynamics and a backtest that puts its deltas to work hedging a real position on ten years of S&P 500 data.

    • Hedge Funds
    • Trading
    • Quantitative Research
  3. Vectorized Portfolio Backtesting Engine

    A daily-frequency engine for multi-asset equity strategies, built around the things that actually decide whether a backtest means anything: vectorised computation, explicit look-ahead handling, real transaction costs and honest out-of-sample validation. The headline result is negative, which is the point.

    • Quantitative Research
    • Quantitative Trading
    • Python
  4. TRT Ship

    A CLI and Python toolkit that takes a trained Pytorch model through ONNX export, TensorRT engine builds and INT8 calibration, numerical validation and benchmarking, to a Triton model repository

    • PyTorch
    • TensorRT
    • CUDA
  5. Synapse - A workflow Automation Engine

    Building Synapse: a workflow engine that survives crashes You draw a workflow as a graph in the browser, hit publish, and a fleet of workers runs it reliably. If a worker dies halfway through, the work still gets done.

    • PyTorch
    • TensorRT
    • CUDA

Writing

Posts on things I've worked through and wanted to explain properly.

  1. Adapting LLaMA for NER Tasks

    24 September 2025 ยท 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
  2. Language Model Distillation

    18 March 2026 ยท 13 min read

    Training a small student model to behave like a large teacher: what the soft probabilities actually carry, how to transfer attention patterns when the two models are different sizes, and how to tell whether it worked.

    • Knowledge Distillation
    • LLM
    • Model Compression
    • PyTorch
  3. Building a Semantic Video Search Engine

    2 August 2026 ยท 31 min read

    Point it at a folder of videos, type "a red car driving at night", and get back exact timestamps across every video you own โ€” each one playable at the moment it matched.

    • CLIP
    • FAISS
    • Vector Search
    • Python
    • TypeScript
  4. Kubernetes Pods Explained

    2 August 2026 ยท 26 min read

    What a Pod actually is, starting from the pause container nobody mentions: the lifecycle and its phases, imperative versus declarative creation, the manifest field by field, and the multi-container patterns worth knowing.

    • Kubernetes
    • Containers
    • DevOps
    • Infrastructure

Skills

Tools I reach for most often, shaded by how well I know them.

  • Proficient
  • Working knowledge
  • Basic familiarity

Languages

  • Python
  • C/C++
  • TypeScript
  • JavaScript
  • Rust

AI / ML

  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
  • NumPy
  • Pandas
  • JAX
  • OpenCV
  • YOLO
  • spaCy

Agentic AI & LLMs

  • LangChain
  • LlamaIndex
  • HuggingFace
  • Ollama
  • Claude Code
  • OpenClaw
  • n8n
  • Google AI Studio

Model Serving & Demos

  • vLLM
  • TensorRT
  • Gradio
  • Streamlit
  • ONNX

Databases

  • PostgreSQL
  • MongoDB
  • Pinecone
  • Chroma

Backend

  • FastAPI
  • Flask
  • Express

Frontend & Mobile

  • React
  • Next.js
  • React Native
  • Flutter

DevOps & Infrastructure

  • Docker
  • Terraform
  • Kubernetes
  • Jenkins
  • Ansible

Concepts

  • AI Agent Development
  • Software Development
  • API Development
  • DevOps

Certifications

Courses and credentials I've completed.

  1. CNCF - Certified Kubernetes Application Developer

    2 September 2026

    Cloud Native Computing Foundation's Certified Kubernetes Application Developer.

    Credential ID: LF-5ridapwt2z

  2. Anthropic - Introduction to agent skills

    6 June 2026

    Anthropic's Introduction to AI Agents Course

  3. Meta - Introduction to Backend Development

    Meta's Backend Development Course

Contact

Happy to talk about research, collaborations, or interesting problems.