Syed Muaaz

AI Backend Engineer & ML Systems Architect

Production AI systems, distributed pipelines, and scalable infrastructure.

$current_focus:"Passionate about building innovative AI systems, from research to production. Focused on scalable infrastructure, intelligent automation, and real-world impact."
$availability:"Open to backend, MLOps, AI engineering, DevOps, and cloud engineering roles"
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system@portfolio
runtime:active
uptime:∞
status:● online

active_stack:

→Python
→Django
→PyTorch
→PostgreSQL
→Kafka
→Kubernetes
→AWS
→Docker

// AI Systems Engineer | Backend Infrastructure

// Distributed Systems | ML Deployment

About

Syed Muaaz

Computer Science undergraduate specializing in AI and Machine Learning at Ramdeobaba University (Expected 2027). I build scalable, intelligent systems spanning full-stack development with React and Django, ML deployment, data engineering with Apache Kafka and Airflow, and AI automation using Google ADK and n8n.

Core Expertise

Full-Stack Development (React, Django)Machine Learning & Deep LearningData Engineering & Distributed SystemsAI Automation & Agentic WorkflowsBackend Architecture & APIsCloud Infrastructure
InstitutionShri Ramdeobaba College of Engineering and Management
DegreeB.Tech in Computer Science
SpecializationArtificial Intelligence & Machine Learning
Expected GraduationJune 2027
CGPA7.8/10
Focus AreasArtificial Intelligence, Machine Learning, Distributed Systems, Backend Engineering

Relevant Coursework

Advanced Machine LearningNeural Networks & Deep LearningComputer VisionNLPData Structures & AlgorithmsDatabase Systems

"I'm driven to build systems that make meaningful impact. Focus on production-grade implementations that combine research rigor with engineering pragmatism."

Skills

Organized by domain and system layer.

Programming Languages

PythonJavaScriptJavaC++SQLGo

AI/ML

TensorFlowPyTorchKerasScikit-LearnPandasNumPyOpenCV

Web Development

ReactDjangoDjango REST FrameworkFlaskFastAPITailwindCSSBootstrapHTML/CSS

Data Engineering

Apache KafkaKafka StreamsApache AirflowApache SparkZooKeeper

Databases

PostgreSQLMongoDBMySQLRedisFirebaseSQLite

Cloud & DevOps

AWS (EC2, S3, Lambda)GCPDockerGitLinux

AI & Automation

Google ADKn8nOllamaCeleryLLMsLangchainLangGraph

System Architecture Stack

Frontend:React / Next.js / TypeScript / TailwindCSS
API Layer:FastAPI / Django / GraphQL / REST
ML Serving:PyTorch / TensorFlow / ONNX / Ray Serve
Data Processing:PySpark / Kafka / Airflow / dbt
Storage:PostgreSQL / BigQuery / Redis / S3
Infrastructure:Kubernetes / Docker / Terraform / AWS

Featured Projects

Technical case studies, not portfolio cards.

Full-stack placement management platform architected for students and CDPC administrators. Features resume building, AI-powered job matching, application tracking, and placement analytics with role-based portals.

In Progress

AI screening agent | Role-based access | Automated analytics | 3000+ embedded dimensions

Comparative deep learning study for automated diabetic retinopathy classification. Custom RetinaCNN (4-block architecture) vs. frozen VGG16 transfer learning on Kermany2018 OCT dataset.

Completed

98.66% test accuracy | Custom CNN outperformed VGG16 by 8.4% | 25% faster inference

End-to-end streaming pipeline for real-time e-commerce event analytics. Processes events via Kafka, aggregates with 5-second windows, persists to MongoDB, and powers live dashboards.

Completed

Real-time event processing | 5-second aggregation windows | Live React dashboard | Containerized microservices

Experience

Backend Developer Intern — Predict-Xplore

Indian Institute of Technology, Bombay

Jun 2025 - Nov 2025

Mumbai, India

  • ▪Architected and executed a scalable machine learning model testing and deployment framework, converting research-grade models into production-ready systems
  • ▪Engineered robust deployment pipelines with emphasis on reliability, reproducibility, and system-level design rigor
  • ▪Applied deep analytical reasoning to bridge theoretical machine learning concepts with real-world operational constraints
  • ▪Delivered high-impact contributions that streamlined model validation workflows and advanced the project's long-term research trajectory

Technologies

PythonDjangoDjango REST FrameworkReactDockerOpenCVSQLite

R&D Intern

Crux HR

Nov 2024 - Feb 2025

Bengaluru, India

  • ▪Developed smart sourcing tool reducing candidate sourcing time by 30%
  • ▪Built conversational AI agent for interview scheduling (25% response rate improvement)
  • ▪Designed user-friendly recruiter dashboard

Technologies

PythonAI/MLConversational AIERP Integration

Get in Touch

Interested in discussing AI systems, infrastructure, or collaboration opportunities? Let's connect.

muaaz1802@gmail.com
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