BADARUDDIN SHAIKH

MS in Computer Science | Full-Stack & ML Engineer

Passionate about building scalable systems, solving real-world problems with AI/ML, and mentoring future developers.

585-537-8851 bs8645@g.rit.edu
Download Résumé
Badaruddin Shaikh

Education

My academic journey and coursework

MS in Computer Science

GPA: 3.67

Jan 2023 – May 2025

Rochester Institute of Technology

Specializing in Machine Learning and Distributed Systems with hands-on research experience in autonomous systems.

Relevant Coursework:
Data Structures & Algorithms Machine Learning Distributed Systems Cryptography Autonomous Driving Computer Vision

Technical Skills

Technologies I work with

Languages

Python Rust Java Go JavaScript TypeScript C/C++ SQL

Frontend

React.js Next.js Flutter Tailwind CSS Redux

Backend

Node.js Spring Boot MongoDB PostgreSQL gRPC

Cloud & DevOps

AWS (EC2, S3, ECS) Docker Kubernetes CI/CD

ML/Data

PyTorch scikit-learn OpenCV Pandas NumPy

Professional Experience

My career journey and achievements

Teaching Assistant - OOP in Java

Jan 2023 – Present

Rochester Institute of Technology

  • Mentored 100+ students in Object-Oriented Programming concepts, improving project scores by 15% through personalized guidance
  • Reduced feedback turnaround by 40% by developing custom grading rubrics and automation scripts
  • Conducted weekly office hours and code reviews, enhancing student understanding of design patterns

Software Engineer

Nov 2021 – Aug 2022

Raja Software Labs / LinkedIn

  • Delivered 5+ LinkedIn features using Ember.js with 98% test coverage, improving user engagement metrics
  • Migrated legacy components to Glimmer.js, reducing latency by 30% and improving rendering performance
  • Collaborated with product managers to implement A/B testing frameworks for feature validation

Associate Software Engineer

Jul 2021 – Nov 2021

Accenture / Farmers Insurance

  • Automated COBOL/JCL workflows for insurance claim processing, saving 20+ hours weekly in manual work
  • Developed monitoring dashboards that reduced system downtime by 25% through proactive alerts
  • Participated in agile ceremonies and contributed to CI/CD pipeline improvements

Featured Projects

My technical showcase and innovations

Smap - Pothole Navigation

Go Flutter PyTorch GeoHashing

Real-time pothole detection system with 73% accuracy using computer vision, integrated with geoHashing backend for optimized routing.

View on GitHub

Rusty Vault

Async-Rust Cryptography AES-256

High-performance encryption tool built with async Rust, achieving 50% faster encryption/decryption than Python implementations.

View on GitHub

Netplus IoT Platform

Node.js AWS Docker MongoDB

Scalable IoT dashboard with 40% MongoDB optimization, processing 10,000+ device messages per minute with real-time visualization.

View on GitHub

Parking Spot Detection

PyTorch OpenCV Mask RCNN

91% accurate Mask RCNN model for HD map annotations, reducing manual labeling effort by 60% for autonomous driving datasets.

View on GitHub

Get In Touch

Let's collaborate on something great

Email

bs8645@g.rit.edu

Phone

585-537-8851

Location

Rochester, NY