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Mokeshmiri/README.md

Hi, I'm Mo Keshmiri

Software Engineer · Full-Stack Developer · Data & ML

Computer Engineering student at Politecnico di Torino building reliable backend systems, data-driven applications, and clear user experiences.

LinkedIn

About

I develop end-to-end software across backend services, full-stack web applications, data pipelines, and applied machine learning. My experience includes Python ETL workflows, REST APIs, relational databases, real-time telemetry processing, and collaborative software delivery.

I care about maintainable architecture, useful automation, reliable data, and software that solves practical problems.

Skills

Backend & software engineering

Python Java C# C/C++ Flask

REST APIs · OOP · data structures · algorithms · design patterns · system integration · unit and integration testing

Full-stack development

JavaScript TypeScript React Vue.js Bootstrap

Responsive interfaces · authentication · role-based workflows · validation · database-driven applications

Data & machine learning

PostgreSQL MySQL Pandas scikit-learn TensorFlow PyTorch

ETL pipelines · data ingestion and transformation · SQL · NetCDF · feature engineering · model evaluation

Cloud & delivery

AWS Docker Linux Git CI/CD

EC2 · Lambda · API Gateway · Git workflows · code reviews · Agile/Scrum · technical documentation

Selected engineering work

SilkStep

Full Stack

Tour-booking platform with authentication, role-based workflows, scheduling, capacity controls, image uploads, and administration features.

Python Flask SQLite Bootstrap

View repository

Weather Report

Software Engineering

Team-built environmental monitoring system with layered architecture, JPA persistence, reporting, anomaly detection, access control, and automated tests.

Java Hibernate/JPA JUnit Mockito

View project

Housing Anomaly Detection

Data & ML

End-to-end anomaly-detection prototype with data preparation, an Isolation Forest pipeline, interactive controls, visual analysis, and plain-language explanations.

Python scikit-learn Streamlit Pandas

View repository

Real-time & interactive systems

Ayene Matrix

Computer Vision

Real-time face-driven dot-matrix mirror combining MediaPipe expression tracking, interactive ML classification, OSC messaging, Processing visuals, and local WebRTC streaming.

Python MediaPipe OSC Processing Wekinator

View repository

Music & Multimedia Labs

Creative Computing

Four curated labs covering audio codec analysis, FFT-driven visuals, interactive machine learning, gesture regression, and network protocol analysis.

Processing Python Wekinator MediaPipe Wireshark

View repository

Reliable backends · Clear interfaces · Data-driven systems

Pinned Loading

  1. housing-anomaly-detection-streamlit housing-anomaly-detection-streamlit Public

    simple housing anomaly detection with isolation forest and streamlit

    Python

  2. java-oop-university java-oop-university Public

    Java

  3. SilkStep SilkStep Public

    HTML

  4. Ayene-Matrix Ayene-Matrix Public

    A live face-driven dot-matrix mirror built with MediaPipe, OSC, Wekinator, Processing, OBS and MediaMTX.

    Python

  5. Music-Multimedia-Labs Music-Multimedia-Labs Public

    Creative coding and multimedia labs exploring audio processing, interactive machine learning, gesture tracking, OSC and network protocols.

    Processing