About me

I’m a computer science student focused on deep learning research. I work on language and multimodal models, with a particular interest in how they learn, adapt, and behave.

See my research and experiments →

Current research

October 2026 — Present

San Jose State University

San Jose, CA

Researcher — Research under Prof. Mark Stamp

  • Investigating how neural-network architecture affects attacker performance in adversarial neural cryptography through controlled cryptographic experiments.
  • Implemented and evaluated attacker architectures in PyTorch, analyzing convergence, key-recovery behavior, and cross-architecture generalization.

PyTorch · Neural Networks · Cryptography · Experimental Evaluation

Experience

Work and education

May 2026 — August 2026

A10 Networks

San Jose, CA

Deep Learning Engineer Intern — AI Firewall Team

  • Architected and trained TrooperViz for multimodal safety evaluation across text, image-text, multilingual, and multi-turn inputs, scaling PyTorch training across 8 GPUs and 180k examples.
  • Fine-tuned a vision-language model for safety classification and merged it with a text-only guardrail using SLERP, creating a unified model for text, image, conversational, and generative-AI safety evaluation.
  • Built end-to-end data and evaluation pipelines with Pandas and Polars, combining synthetic-data generation and automated benchmarking with interactive inference through Gradio and vLLM.

Python · PyTorch · SFT · SLERP · vLLM · Hugging Face · W&B · CI/CD

October 2025 — Present

Routes Technologies

Remote

AI Engineer Intern

  • Architected an LLM-powered NL-to-SQL pipeline with few-shot prompting, input normalization, 470+ synonym mappings, parameterized SQL sanitization, session memory, and Weights & Biases observability across 5 Azure ML endpoints.
  • Built an SVD collaborative-filtering recommendation system with scikit-learn and an LLM-based taste profiler, generating updated user preference profiles through automated nightly ETL jobs.
  • Engineered a multi-source recipe ingestion pipeline using Scrapy, social-media APIs, LLM classification, language filtering, and Faster-Whisper transcription to process video and web-based content.

Python · SQL · Azure ML · scikit-learn · Sentence Transformers · W&B · Scrapy

May 2025 — August 2025

Dreamable Inc.

San Francisco, CA

AI/ML Engineering Intern

  • Fine-tuned a Qwen 7B model using TensorFlow, Hugging Face, and Lambda, applying LoRA to reduce training cost and memory usage while delivering a domain-specific question-answering model.
  • Evaluated model configurations across multiple hyperparameters through systematic experimentation, tracking training and evaluation metrics with Weights & Biases to optimize model performance.
  • Developed an AI outreach agent using LangChain, Exa.ai, and LLM APIs to automate messaging workflows, reducing manual outreach time and improving response rates while documenting processes in Notion.

Python · PyTorch · TensorFlow · Hugging Face · LoRA · GCP · LangChain · W&B

Education

San Jose State University

B.S. Computer Science · GPA 3.88/4.00 · Expected May 2027

  • Dean’s List
  • Coursework: Object-Oriented Programming, Advanced DSA, Computer Architecture, Information Security, Machine Learning, Software Engineering

San Francisco State University

Computer Science (transferred) · 2023–2025

  • VP of AI Club & Tech Lead at SparkSF
  • Hosted SFHacks for more than 400 attendees
  • Dean’s List Honoree

Leadership & involvement

Leadership, teaching, and community building at SFSU

Vice President AI Club @ SFSU

San Francisco State University

Tech Lead SparkSF

San Francisco State University

Logistics Team Member SFHacks

San Francisco State University

Helped organize and host a hackathon for 400+ attendees.

Teaching Assistant CS 215

San Francisco State University

Teaching assistant for Professor Duc Ta.

Advanced Data Structures & Algorithms CodePath

Projects

Open-source repositories and model weights

LLM Firewall for Agentic Tool-Calling

Low-latency inline defense for prompt injection. A GPT-2 attacker loop reduced bypass from 23.1% to 3.72%; BERT with LoRA adds about 20 ms latency.

GitHub

theHelper — AI Research Assistant

Production RAG with FAISS, LangChain chunking, cross-encoder reranking, local observability, and CI-gated QA.

GitHub

Kanting — Video RAG System

Indexes YouTube transcripts with Whisper and returns precise clip timestamps through semantic search.

GitHub

AdaptRoute

Task-aware routing from a query to specialized models.

GitHub

GatorGPT

A 63M-parameter transformer for consumer GPUs, using Grouped Query Attention and RoPE.

GitHub · Hugging Face

How LLMs Are Made

Annotated implementations of GPT-2, DeepSeek MoE, and Kimi from scratch.

GitHub

Hugging Face weights

MedAssistGPT 303M & 401M

Medical-domain transformers trained on PubMed, using SwiGLU, GQA, and RoPE.

Hugging Face

Qwen2.5-0.5B SFT+DPO 0.5B

A chat model fine-tuned with SFT and Direct Preference Optimization.

Hugging Face

Llama-3.2-3B OpenHermes 3B

QLoRA fine-tuning on filtered OpenHermes conversational datasets.

Hugging Face

StableLM 1.6B SFT+GRPO 1.6B

Aligned with GRPO on PKU safety preferences.

Hugging Face

Skills & credentials

Tools I use and things I’ve completed

LLM engineering

Transformers · Pretraining · Fine-tuning · Inference · Alignment · Benchmarking · Multi-GPU training · SFT · DPO · GRPO · PPO · LoRA/PEFT · TRL · vLLM · Quantization · Vector databases

ML & NLP

PyTorch · TensorFlow · scikit-learn · Weights & Biases · Neural Networks · Reinforcement Learning · LangChain · FAISS · Whisper · BART · Sentence Transformers · Pandas · NumPy

Backend & cloud

FastAPI · Flask · Node.js · Docker · Azure ML · Microsoft Azure · GCP · Lambda · PostgreSQL · MySQL · MongoDB · Scrapy · Nginx · CI/CD

Programming

Python · SQL · Java · JavaScript · C++ · Bash · R · HTML/CSS · Git · Linux

Hackathons

  • CalHacks 12.0 — Palace of Fine Arts, SF
  • MCP AWS Agentic Challenge — AWS Builder Loft, SF
  • SacHacks — Virtual
  • HackMerced — UC Merced
  • Cal Hacks 11.0 — San Francisco

Certificates

  • AI Memory: LLM Memory Systems — LinkedIn
  • Fine-Tuning for LLMs: Beginner to Advanced — LinkedIn
  • Model Context Protocol (MCP) — LinkedIn
  • Introduction to Generative AI — Google Cloud
  • Introduction to Web Development — UC Davis
  • Programming in Python — University of Michigan
  • Special Theory of Relativity — Stanford University
  • Calculus through Data & Modelling (×4) — Johns Hopkins

Hobbies

Outside of deep learning

Astrophotography

I photograph planets, star clusters, galaxies, and nebulae using long exposures and image stacking.

View my astrophotography collection →

A star named after me

There is also a registered star carrying my name.

View the star record →

Contact

For fine-tuning work, alignment evaluation, model safety, or just to say hello

The easiest way to reach me is by email.

kunjcr2@gmail.com