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trayodasha/README.md

⚡ trayodasha

AI Engineer • Full-Stack Developer • Problem Solver




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🧠 Engineering Interests

I'm focused on becoming a strong AI Engineer with a solid foundation in software engineering, problem solving, and system design.

My technical interests include Generative AI, LLM applications, RAG systems, retrieval pipelines, AI evaluation, full-stack development, backend engineering, Data Structures & Algorithms, and scalable system architecture.


🤖 AI Engineering

Core Technologies

AI / ML

Python • NumPy • Pandas • Scikit-Learn

Machine Learning • Deep Learning • Neural Networks

Generative AI

LLMs • Prompt Engineering • Context Engineering

Generative AI • AI APIs • LLM Applications

RAG & Retrieval

RAG • Embeddings • Vector Databases

Semantic Search • Hybrid Retrieval • Reranking

Document Processing • Chunking • Retrieval Pipelines

AI Evaluation

LLM Evaluation • Retrieval Evaluation

Evaluation Pipelines • Metrics • Experimentation

AI Systems

AI APIs • Inference Pipelines • Observability

Tracing • Evaluation • Production AI Systems


🌐 Full-Stack Engineering

MERN Stack

HTML • CSS • JavaScript • TypeScript

React • React Router • Vite

Node.js • Express.js • REST APIs

MongoDB • Mongoose

Backend & Web Engineering

REST API Design • Middleware • Controllers

Authentication • Authorization • JWT

RBAC • Protected Routes • API Security

Database Design • Schema Design • Indexing

Development & Deployment

Git • GitHub • Docker • Postman

Deployment • Linux • CI/CD Fundamentals


🧩 DSA & Problem Solving

C++ • Algorithms • Data Structures

Arrays • Strings • Hashing

Two Pointers • Sliding Window • Prefix Sum

Binary Search • Linked Lists

Stacks • Queues • Recursion

Backtracking • Trees • BST

Heaps • Graphs • Tries

Greedy Algorithms • Dynamic Programming

Sorting • Searching • Complexity Analysis

Problem Solving • Algorithmic Thinking


🏗️ System Design

Interested in understanding how software systems are designed for performance, scalability, reliability, and maintainability.

API Design • System Architecture

Load Balancing • Caching • Redis

Database Design • Indexing

Message Queues • Asynchronous Processing

Scalability • Reliability

Distributed Systems • Microservices


🛠️ Technology Stack

AI / Machine Learning

Languages

Frontend

Backend

Databases

Tools & Infrastructure


🔭 Currently Exploring

AI Engineering
├── LLM Engineering
├── RAG
├── Retrieval Systems
├── Embeddings
├── Vector Databases
├── Hybrid Search
├── Reranking
└── LLM Evaluation

Software Engineering
├── MERN
├── Backend Architecture
├── REST APIs
├── Authentication
├── Databases
└── Deployment

Problem Solving
├── C++
├── DSA
├── Algorithms
├── Dynamic Programming
├── Graphs
└── Advanced Data Structures

Systems
├── System Design
├── Scalability
├── Distributed Systems
├── Caching
└── Message Queues

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  1. namaste namaste Public

    Learning web programming only.