Based in
San Diego, California

Hi, I’m Naveen.

I’m an AI engineer in San Diego. I started in infrastructure, moved into data science, and found my way into AI systems, where I get to use all of it. Most recently, I was a founding engineer at AskTuring, a startup that was acquired by Vital Records Control. Away from work, you’ll find me in the gym, at kickboxing, or watching a race.

Career

Full resume
  1. Now

    Vital Records Control

    AI Engineer

    Bringing the AskTuring platform to AWS for 100K+ customers, and connecting VRC’s tools so employees work from one AI assistant.

    Aug 2026 – now
  2. 2025

    AskTuring.ai

    Founding AI Engineer, acquired by VRC

    Helped build the company from an early stage through its acquisition: the tool connections, the text-to-SQL agent, and the memory behind it.

    Oct 2025 – Aug 2026
  3. 2024

    Chapman University

    Data Scientist

    Analyzed 250M+ prescription records for opioid research.

    Mar – Dec 2024
  4. 2022

    Armory

    Software Engineer

    Kept 50+ services observable and shipping.

    Jul 2022 – Aug 2023

Education

2024

University of California, Irvine

Master of Data Science

2023

University of San Diego

B.S. Computer Science, Shiley-Marcos School of Engineering

Certifications

Projects

Tech Stack

AI and agents

  • Claude
  • GPT
  • Gemini
  • Cohere
  • MCP
  • LangGraph
  • LangChain
  • Langfuse
  • RAG
  • pgvector
  • RunPod

Languages

  • Python
  • Go
  • SQL
  • JavaScript
  • TypeScript
  • Bash
  • R

Data and backend

  • FastAPI
  • PostgreSQL
  • Redis
  • Kafka
  • Spark
  • Databricks
  • MLflow
  • Pandas
  • DuckDB

Cloud and infrastructure

  • AWS
  • GCP
  • Kubernetes
  • Docker
  • Terraform
  • Grafana
  • GitHub Actions

Let’s build something together.

Or just talk about last weekend’s race.

In progress

An agent that learns

Most AI agents start every conversation from scratch. When someone corrects them, or they finally solve a tricky problem, that lesson disappears the moment the chat ends.

I’m building a platform that lets agents hold on to what they learn. It picks up on what worked, what didn’t, and what people corrected, turns that into knowledge the agent can use, and brings it back the next time a similar situation comes up. People stay in the loop, reviewing anything the system isn’t sure about.

The goal is simple: agents that get better the more they’re used, whatever framework they’re built on.

It’s in active development with a small team, so the code isn’t public yet. I hope to share more about it soon.