Syed Huzaifa

Network Operations & DevOps Engineer · Cloud & Linux Systems

Chhatrapati Sambhajinagar, Maharashtra, India

@syed_huzaif

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🎓 B.Tech in Information Technology at MGM University · Graduating 2027

About

Final-year B.Tech Information Technology student building AI-powered and cloud-native systems in Python, with hands-on experience in FastAPI, AWS infrastructure, Linux operations, and data pipelines. Also works on ML applications, automation, and backend services across Docker and PostgreSQL environments.

Experience

Linux Operations Intern

DataBinaries

Jan 2026 – Present

Systems administration: monitor Linux server health and perform user, permission, and command-line administration across Linux and cloud/server environments. Troubleshooting: diagnose operating-system, service, and basic networking issues through structured troubleshooting and root-cause investigation. Documentation: document symptoms, investigation steps, and resolutions to support repeatable issue handling and clear technical communication.

Education

2027

B.Tech

MGM University

Information Technology · Jul 2023 – Jun 2027

Information Technology · Jul 2023 – Jun 2027
HSC

Indira Gandhi Memorial Urdu Junior College
SSC

Sir Sayyed Ahemad Khan Urdu School

Skills

<3 months

DNS Java Bash VLAN DHCP CRON CI/CD Python DevOps TCP/IP FastAPI JavaScript TypeScript WebSockets SQLAlchemy RAG Pipelines LLM evaluation REST API Design Semantic Search Machine Learning Knowledge Graphs Vector embeddings JWT Authentication Routing and Switching Natural Language Processing

Tools / apps / platforms

6 to 12 months

Linux

<3 months

Git MySQL Neo4j Redis Docker GitHub QDrant Ubuntu MongoDB Firebase Terraform Kubernetes PostgreSQL Apache Hadoop Amazon Web Services AWS Grafana Labs Grafana Cloud

Projects

Linux-Based Automated ETL Pipeline for E-Commerce Analytics

Linux, Python, Pandas, SQLAlchemy, PostgreSQL, Bash, Cron, Git/GitHub

Built an automated ETL pipeline that validates CSV order data, removes duplicates, calculates revenue, filters completed orders, and loads transformed data into PostgreSQL using Python, Pandas, and SQLAlchemy. Automated end-to-end execution with Bash and Linux Cron, including scheduled runs and persistent logging for repeatable operations. Added SQL analytics for e-commerce metrics, including total revenue, total orders, items sold, average order value, and product-level performance.
Used Vehicle Price Estimation Tool

Python, scikit-learn, Pandas, FastAPI, JavaScript, HTML, CSS

Full-stack ML application: built a used car and bike price prediction system using ~14,700 vehicle records. Model development: trained and evaluated regression models, achieving R² = 0.946 with Random Forest after data preprocessing and feature engineering. API & frontend: developed a FastAPI REST API and responsive web interface to provide real-time vehicle price predictions.
AEGIS — AI-Powered Fraud Detection System ↗

Python, scikit-learn, FastAPI, Machine Learning, REST API

Built an end-to-end ML fraud detection system to identify suspicious transactions using behavioral, geographic, temporal, velocity, and device-risk signals. Developed a scikit-learn ML pipeline with fraud probability scoring, risk tiers, explainable risk factors, and batch CSV analysis. Built a FastAPI REST API and interactive analytics dashboard for real-time transaction monitoring, ROC analysis, and feature-importance visualization.

⚽ Extracurricular activities

Logistics Member, IEEE Student Branch

Supported event planning and on-ground coordination for technical activities and student initiatives.

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