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yashmittalz/README.md

Yash Mittal

Building Autonomous Systems & AI Infrastructure

I don't just write code. I build scalable infrastructure, design autonomous AI agents, and engineer systems that solve hard, global-scale problems. I focus on speed, strong backend fundamentals, and practical execution.


⚡ What I'm Building Now

I operate at the intersection of AI and production-grade software engineering. My current focus:

  • Personal Autopilot: If I execute a task on my computer more than five times, I build an autonomous agent to take it over.
  • The Second Brain (RAG): To kill hallucinations, I don't rely on base models. I dump all my raw notes, videos, and project data into a centralized vault and wire the AI directly into it. The agents execute based on my exact context.
  • Hackathon Execution: Battle-testing these systems in high-pressure environments like ASA's DataFest'26 and VillageHacks, proving that speed and structural integrity can coexist.

🛠️ Technical Arsenal

I build with a strict, engineered pipeline designed for maximum leverage, security, and scale. My toolkit spans low-level systems programming to high-level applied AI and data architecture.

Core Languages & Systems

Go C++ Python Java C# TypeScript R

Data Architecture & AI

Snowflake PostgreSQL MongoDB TensorFlow Pandas

Backend, Frameworks & Mobile

Angular Flutter NodeJS Flask Docker


🧠 Operational Philosophy & AI Leverage

I don't outsource my thinking to AI; I leverage it to multiply my execution speed. While I experiment heavily with "vibe coding" and autonomous code generation, I believe that velocity without strict architecture is just chaos. I build fast, but I ship with the discipline of a strict engineer.

  • Engineered Leverage: Using AI as a tool to scale output, not as a crutch to bypass fundamental systems design.
  • Security First: Zero hardcoding, aggressive input validation, and rigorous authentication.
  • The MVP Approach: Define what is strictly necessary, declare the out-of-scope, and build the foundation first.
  • Relentless Execution: Moving fast, breaking the right things, and optimizing for scale.

"The delay in your success is not a punishment for a lack of effort. It is protection against a lack of capacity. Build the infrastructure first."

Pinned Loading

  1. SFO-Crime-Clustering SFO-Crime-Clustering Public

    Utilizing San Francisco crime data to identify hotspots using K-means clustering techniques.

    Python

  2. IMDB-Sentiment-Analysis IMDB-Sentiment-Analysis Public

    This project is a Natural Language Processing (NLP) initiative that performs sentiment analysis on IMDB movie reviews.

    Python

  3. Customer-Segmentation Customer-Segmentation Public

    A machine learning project that segments customers into meaningful groups using advanced clustering techniques, enabling targeted marketing strategies based on both numerical and categorical data.

    Python

  4. HR-s-Salary-Calculation HR-s-Salary-Calculation Public

    A machine learning project that uses polynomial regression to predict employee salaries based on experience levels, improving accuracy for non-linear salary structures.

    Python

  5. House-Price-Prediction House-Price-Prediction Public

    A machine learning project that uses multiple linear regression to predict house prices based on factors like area, room count, and building age.

    Python