A little curiosity. A lot of building.34.0522° N · 118.2437° W
Hello, I’m
Monish Patalay. Building intelligent systems and modern web applications. From the first idea to the final interaction.
IDEAS → SYSTEMS → EXPERIENCES MOVE YOUR CURSOR. MAKE A LITTLE CHAOS.
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 solved Live résumé; platform not specified
300+ Students mentored Live résumé; Smart Interviews
94.9% CNN test accuracy Crop Expert; single held-out split
60+ Students supported Live 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.”
Scroll, swipe sideways, or use arrow keys to browse projects.
01 / AI ML Deployed
AI lecture Q&A platform: students ask, get timestamp-cited video answers.
02 / FULL STACK Built
Turn a natural-language prompt into a library that fits your mood.
React Node.js Claude Haiku Spotify API
03 / FULL STACK Built
Less deciding. More cooking. An AI agent that turns three answers into a week of meals.
React TypeScript Node.js MongoDB
04 / FULL STACK Built
A complete booking flow, from finding a place to making a reservation.
MongoDB Express React Node.js
05 / AI ML Deployed
A leaf, a photo, a clearer answer. Plant disease recognition from model to browser.
TensorFlow FastAPI React Python
↗ There’s more. Explore all projects
Project 1 of 5, Lecture Copilot The path so far
My career & experience. Graduate Research Assistant Cal State LA Los Angeles, CA
2025 — 2026 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 Script Google Sheets Automation Data workflows
Programming Mentor Smart Interviews Hyderabad, India
2023 — 2024 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++ Python Java Data structures Algorithms
Machine Learning Intern DRDO Hyderabad, India
2023 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 Python TensorFlow OpenCV CNNs MLflow TensorFlow Serving
The foundation
My education & background. M.S., Computer Science California State University, Los Angeles Los Angeles, CA
2024 — 2026 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 learning Distributed systems Research Algorithms
B.Tech, Artificial Intelligence and Machine Learning CMR Engineering College Hyderabad, India
2020 — 2024 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 structures Operating systems Databases Machine learning System design
Along the way
Published “Pose Estimation using MediaPipe” Research paper in IJSREM. Publication Founder, ICPC Club at CMREC Started and ran the competitive-programming club. Leadership Hackathon finalist Reached the final round. Competition Graduated with honors, M.S. 3.9 / 4.0 GPA at Cal State LA. Academics 700+ DSA problems solved Across platforms including LeetCode. Problem solving The tools change. The curiosity stays.
A stack for making things happen. All Languages Frontend & backend AI & machine learning Cloud & data
{ } Python
⌘ TypeScript
◇ JavaScript
⟐ Java
{ } C++
⌘ C
◇ Kotlin
⟐ SQL
{ } Bash
⌘ React
◇ Next.js
⟐ Node.js
{ } Express
⌘ FastAPI
◇ Flask
⟐ Django
{ } GraphQL
⌘ REST APIs
◇ Microservices
⟐ HTML
{ } CSS
⌘ Bootstrap
◇ LLM APIs
⟐ RAG
{ } Vector DBs
⌘ LangGraph
◇ LangChain
⟐ MCP
{ } Structured outputs
⌘ Evals
◇ TensorFlow
⟐ PyTorch
{ } scikit-learn
⌘ Hugging Face
◇ MLflow
⟐ AWS
{ } GCP
⌘ Docker
◇ PostgreSQL
⟐ MongoDB
{ } Redis
⌘ GitHub Actions
◇ pytest
Exploring deeper: agentic AI systems, production LLM applications, and system design.
You’ve scrolled. Now play.
A little less reading. A little more doing. 7 → 7?
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.
Start a conversation ↗