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Shreesh-Sree/README.md

👋 Hello there! I'm Sreesanth R

Software Engineer specializing in Backend Services, AI Systems, and Cloud-Native Workflows

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Shreesh-Sree's GitHub Stats

  • 🏢  I'm currently seeking Software Engineering Internships & Backend / AI Engineering roles
  • 🌱  I’m currently building retrieval/orchestration systems & event-driven apps on AWS
  • 💬  I like to talk about System Design, LLM pipelines, and Cloud Infrastructure
  • 📖  Learn more about my projects on my portfolio
  • 📫  Ask me anything on my issues page
  • 💻  Connect with me on LinkedIn

Favorite Tech

Tools, languages, and other things that I like to work with.

Python
Python
FastAPI
FastAPI
TypeScript
TypeScript
React
React
AWS
AWS
Terraform
Terraform
PostgreSQL
Postgres
Docker
Docker

About Me

I build systems where APIs, data, models, and deployment meet. Most of my projects live at the intersection of backend services, AI-enabled workflows, and cloud infrastructure, with a strong preference for clean interfaces, explicit failure handling, and software that stays understandable as it grows.


Architectural Flow

flowchart LR
    A["User or system signal"] --> B["API or ingestion layer"]
    B --> C["State, queues, and storage"]
    C --> D["ML or LLM reasoning"]
    D --> E["Workflow, decision, or insight"]
    E --> F["Observable deployed product"]
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Featured Projects

Event-driven grievance workflow platform built around secure intake, asynchronous processing, and AI-assisted resolution pipelines on AWS.

Tech Stack: AWS Lambda · API Gateway · SQS · DynamoDB · Bedrock · Terraform

AI engineering workspace for retrieval, evaluation, privacy-aware workflows, and local LLM-backed experimentation with deployment-friendly structure.

Tech Stack: FastAPI · Streamlit · FAISS · SQLAlchemy · Ollama · Docker

Career-learning platform that combines application services, semantic resource discovery, and personalized workflow design across frontend and backend layers.

Tech Stack: FastAPI · React · Firebase · PostgreSQL · pgvector · Groq

Scientific optimization system combining physics-informed modeling, constrained search, and agentic orchestration for additive manufacturing experimentation.

Tech Stack: PyTorch · LangGraph · Ollama · PostgreSQL · Docker


Problem Solving & Coding Profiles

LeetCode Codeforces CodeChef HackerRank GeeksforGeeks Code360


Coding Language Distribution

Top Languages

Engineering Principles

const engineeringPrinciples = [
  "Design data flow before interface polish",
  "Keep failure paths explicit and observable",
  "Use AI where it improves decisions, not just demos",
  "Treat deployment and security as product features"
];

Popular repositories Loading

  1. machine-learning-hub machine-learning-hub Public

    Jupyter Notebook 2

  2. matsyan-quarkverse matsyan-quarkverse Public

    TypeScript 1

  3. portfolio-admin portfolio-admin Public

    TypeScript 1

  4. montra-finance-tracker montra-finance-tracker Public

    Montra is a comprehensive financial tracking application built with React, TypeScript, and Vite. It helps users manage their income, expenses, budgets, and savings goals with a premium, user-friend…

    TypeScript 1

  5. grievanceflow grievanceflow Public

    HCL 1 1

  6. email-spam-detection email-spam-detection Public

    This project implements a Gmail spam detection system using a Logistic Regression model. It provides a user-friendly web interface built with Streamlit where users can paste email content and recei…

    Jupyter Notebook 1