Ciao
مرحبا
Bonjour
Hola
नमस्ते
Hello
A little curiosity. A lot of building.34.0522° N · 118.2437° W

Hello, I’m

Monish
Patalay.

AI Engineer

Building intelligent systems and modern web applications. From the first idea to the final interaction.

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M.S. Computer Science · Cal State LA · Aug 2024 – May 2026

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A builder at heart.

I like the space where a good idea becomes something you can actually use. I build across the stack—from the model and the API to the last interaction on the screen. Thoughtful engineering. Useful AI. Things that work.

Curious by default. Hands-on by choice.

A few numbers, with context

700+DSA problems solvedLive résumé; platform not specified
300+Students mentoredLive résumé; Smart Interviews
94.9%CNN test accuracyCrop Expert; single held-out split
60+Students supportedLive résumé; Cal State LA
Selected work / built with intention

Ideas, in the wild.

A few things I’ve taken from “what if” to “it works.”

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  1. Cook — promotional concept artwork
    03 / FULL STACKBuilt

    Cook

    Less deciding. More cooking. An AI agent that turns three answers into a week of meals.

    ReactTypeScriptNode.jsMongoDB
  2. Airbnc — promotional concept artwork
    04 / FULL STACKBuilt

    Airbnc

    A complete booking flow, from finding a place to making a reservation.

    MongoDBExpressReactNode.js
  3. There’s more.

    Explore all projects

01 / 05
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Project 1 of 5, Lecture Copilot

The path so far

My career & experience.

Graduate Research Assistant

Cal State LA

Los Angeles, CA

Built automation tools in Google Apps Script for student check-in, assignment distribution, and progress tracking for 60+ students.

  • Replaced manual program workflows end to end
  • Cut weekly reporting time 30% with scripted Google Sheets data pipelines
Google Apps ScriptGoogle SheetsAutomationData workflows

Programming Mentor

Smart Interviews

Hyderabad, India

Mentored 300+ students in data structures and algorithms across 50+ live sessions.

  • Raised average assessment scores 20% through code reviews and mock interviews
  • Built problem sets and review sheets adopted program-wide
C++PythonJavaData structuresAlgorithms

Machine Learning Intern

DRDO

Hyderabad, India

Built a CNN facial-recognition system in TensorFlow and OpenCV at 94% accuracy over 10k+ images.

  • Cut inference latency 20% through preprocessing optimisation
  • Benchmarked VGG16, ResNet and custom CNNs with runs tracked in MLflow
  • Deployed through TensorFlow Serving with drift-detection alerts
PythonTensorFlowOpenCVCNNsMLflowTensorFlow Serving

The foundation

My education & background.

M.S., Computer Science

California State University, Los Angeles

Los Angeles, CA

Completed a Master’s in Computer Science with a 3.9 / 4 GPA, focused on machine learning systems and full-stack software engineering.

  • Graduated with honors
  • Research in pose estimation using MediaPipe
  • Coursework spanning machine learning, distributed systems, research, and algorithms
Machine learningDistributed systemsResearchAlgorithms

B.Tech, Artificial Intelligence and Machine Learning

CMR Engineering College

Hyderabad, India

Built a foundation in data structures, systems, and applied artificial intelligence.

  • Coursework: data structures and algorithms, operating systems, databases, machine learning, artificial intelligence, and system design
  • B.Tech GPA is intentionally omitted until confirmed
Data structuresOperating systemsDatabasesMachine learningSystem design

Along the way

  • Published “Pose Estimation using MediaPipe”Research paper in IJSREM.Publication
  • Founder, ICPC Club at CMRECStarted and ran the competitive-programming club.Leadership
  • Hackathon finalistReached the final round.Competition
  • Graduated with honors, M.S.3.9 / 4.0 GPA at Cal State LA.Academics
  • 700+ DSA problems solvedAcross platforms including LeetCode.Problem solving
The tools change. The curiosity stays.

A stack for making
things happen.

Exploring deeper: agentic AI systems, production LLM applications, and system design.

You’ve scrolled. Now play.

A little less reading.
A little more doing.

Human scribble.
Machine guess.

Draw a digit. Peek inside a neural network. See if you can beat the model.

Enter the playground ↗
“What has Monish built with AI?”

Curious about
the person behind it?

Ask my AI assistant about the projects, the journey, or the tools I work with.

The next good thing starts with a conversation

Let’s build
something.