CODE
● SYSTEM STATUS: ONLINE

SOFTWARE
ENGINEER

MS Computer Science @ George Mason University.
MERN • Python • ML/AI • GCP

VIEW PROJECTS DOWNLOAD CV
/// OPEN FOR WORK /// MERN STACK /// MACHINE LEARNING /// GCP /// REACT • NODE • PYTHON /// FLASK • FASTAPI /// OPEN FOR WORK ///
Mohammad Fardeen Shaik AVATAR.JPG

Who am I?

I'm Mohammad Fardeen Shaik, a Software Engineer and MS student in Computer Science at George Mason University (Aug 2025 – May 2027). I ship full-stack apps, ML pipelines, and clean APIs—from MERN products like FxAir to research-style work in infant cry analysis, autism detection, and Parkinson's prediction.

> Coursework: Algorithms, Computer Systems, AI, Component-Based Software Dev.
> Software Engineering intern experience @ Ethnus Codemithra (MERN, REST APIs, Docker, CI/CD).
> Certified: Google Cloud Foundations, Amazon Junior Software Developer, ML with Python.
> Open to Software Engineering internships and full-time roles.

📍 George Mason University, Fairfax, VA, 22030, USA
🟢 OPEN TO WORK

TECH_STACK

/// SYSTEM_OPTIMIZED

>_ FRONTEND
REACT
>_ BACKEND
NODE.JS
>_ LANGUAGE
PYTHON
>_ API
EXPRESS
>_ DATA
MONGODB
>_ DATA
POSTGRESQL
>_ BACKEND
FLASK
>_ API
FASTAPI
>_ ML
PYTORCH
>_ ML
TENSORFLOW
>_ ML
SCIKIT-LEARN
>_ CLOUD
GCP
>_ OPS
DOCKER
>_ VERSION
GIT
>_ LANGUAGE
JAVA
>_ LANGUAGE
JAVASCRIPT
TOTAL_NODES: 16 MEMORY_USAGE: OPTIMIZED

Experience_Log

Software Engineering Intern (MERN)

Aug 2023 - Nov 2023

@ Ethnus Codemithra · Bengaluru, India (Remote/Hybrid)

  • Designed and deployed web applications using MongoDB, Express.js, React, Node.js (MERN); built RESTful APIs that reduced average response time by 30%.
  • Collaborated in Agile/Scrum ceremonies (daily stand-ups, sprint planning, retros); improved sprint delivery speed by 20% through backlog grooming and story sizing.
  • Optimized backend workflows with efficient data structures and algorithms for faster API responses and scalability.
  • Integrated third-party APIs and payment gateways; added automated tests (Jest/React Testing Library) and API monitoring with Postman Collections.
  • Contributed to infrastructure setup and containerization using Docker, supporting scalable backend deployments and CI/CD pipelines.

Certifications_

Google Cloud Computing Foundations

Google Cloud · Dec 2023

Cloud Infrastructure, GCP, Big Data, Machine Learning Fundamentals

Amazon Junior Software Developer

Professional Certificate

AWS & software development fundamentals

Machine Learning with Python

Foundations

ML foundations and Python for data science

Python for Data Science & ML

Essential Training

Data science and machine learning with Python

In Progress

AWS Certified Developer – Associate

AWS · In Progress

Developing, optimizing, packaging, and deploying applications; CI/CD workflows; identifying and resolving application issues. A strong step on the AWS Certification path for cloud developers.

CODING_STATS

LIVE

GITHUB

smfardeen7

GMU CS

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Commits

Repositories
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Followers
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Commits
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Joined
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Matrix_Output

GitHub Contribution Graph
$ gh --stats _
VIEW_GH →

LEETCODE

smfardeen7

Algorithm & ML

#Top

Ranking

LeetCode Stats
$ leetcode --u _
VIEW_LC →

Selected Works

ML_PIPELINE

Infant Cry Analysis

ML pipeline with MySQL + Flask; 78.26% accuracy with Random Forest, 82% with EfficientNet. Temporal features (cry duration, silence intervals). Precision/recall and confusion matrix reporting.

Flask MySQL EfficientNet Scikit-Learn
DL + WEB

Autism Detection

CNN/LSTM models for autism spectrum screening; 91% accuracy with EarlyStopping and learning-rate scheduling. Preprocessing, stratified splits, ROC-AUC/F1; Flask REST API + HTML UI, containerized.

PyTorch/TensorFlow Flask Docker REST API
SQL + ML

Parkinson's Disease Prediction

Hybrid algorithm: benchmark data in SQL, reusable views for train/validation and feature subsets. Profiled class imbalance and missingness with aggregates; exported to CSV for modeling.

SQL Python Data Profiling ML
FXAIR

FxAir

Web application for flight search and travel. Built with modern software engineering practices for real-time data and a smooth user experience.

React Node.js REST API Software Eng.
THRILL

Thrill — AI Contract & Invoice Intelligence

Enterprise-grade AI agent that parses, understands, and audits financial documents. PDF ingestion (Qdrant), LLM extraction (LangGraph/Mistral), invoice–contract mismatch detection, risk assessment, Next.js review dashboard. FastAPI, Celery, PostgreSQL, Docker.

Next.js FastAPI LangChain Docker AI/LLM
MAZEPAY

MazePay

Payment or finance-related application. Built with modern full-stack tools for a seamless user experience.

Full-Stack Web App
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Let's
Talk
Code.

Open to Software Engineering internships and full-time roles. MS CS @ George Mason University.

shaikfardeen595@gmail.com
571-386-9025
George Mason University, Fairfax, VA, 22030, USA