Hi, I'm Anish Cheraku

Computer Science Student at the Georgia Institute of Technology

Passionate about software development, algorithms, and creating innovative solutions. Currently pursuing my degree in Computer Science with a focus on full-stack development.

Anish Cheraku

About Me

I'm a dedicated Computer Science student with a passion for technology and problem-solving. My journey in programming began with curiosity about how software works, and it has evolved into a deep understanding of various programming languages, frameworks, and development practices.

When I'm not coding, you can find me exploring new technologies, contributing to open-source projects, or working on personal projects that challenge my skills and expand my knowledge.

2+

Years of Experience

10+

Projects Completed

5+

Technologies Mastered

Proficient Skills & Technologies

Programming Languages

Python
Java
Rust
C++
SQL
Swift
JavaScript
HTML
CSS

Tools & Technologies

Git
Docker
SQL
AWS
GitHub Actions
GCP
Azure

Specializations

Web Development

React
Node.js
HTML5
CSS3

Mobile App Development

Swift
Java
Kotlin
Xcode
Android Studio
XCTest
JUnit
Gradle

Artificial Intelligence

Python
R
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Jupyter Notebooks

Cloud Tools and Services

Python
Go
Java
Rust
C#
.NET
AWS Services
AWS S3
AWS EC2
AWS CloudFront
AWS ECS
AWS IAM
CloudWatch
CloudTrail
AWS SSM
Secrets Manager
Azure Services
Azure Web Apps
Cosmos DB
Azure SQL
Key Vault
Google Cloud Services
Cloud Storage
Cloud SQL

Experience

Software Development Engineer Intern

Amazon Web Services

May 2025 - August 2025

EC2 Linux Operating Systems

Languages, Technologies, and Tools
Rust Go Linux Docker AWS S3 AWS Secrets Manager AWS SSM AWS IAM AWS EC2 Git
Tasks Completed
  • Designed and implemented new runtime configuration options for EC2 Instances running Linux, improving runtime configuration management and reducing downtime
  • Refactored existing codebases for modularity, enabling cleaner abstractions and easier maintainability
  • Integrated AWS services (S3, Secrets Manager, and SSM) to expand scalability and configure settings from remote sources
  • Authored a security threat model addressing spoofing, privilege escalation, and IAM/API/network mitigations to ensure system reliability
Impact
  • Improved runtime configuration management efficiency by 40%
  • Reduced system downtime through better configuration handling
  • Enhanced code maintainability with modular refactoring
  • Strengthened security posture with comprehensive threat modeling
  • Enabled remote configuration management for better scalability

Software Engineering Intern

Scale AI

February 2025 - May 2025

Task Routing, Task Queue, and Monitoring Systems

Languages, Technologies, and Tools
Go Python FastAPI PostgreSQL React Next.js JavaScript Tailwind CSS
Tasks Completed
  • Created a real time ops console using Next.js, React, and Tailwind and fetched live updates over WebSockets/SSE from FastAPI.
  • Developed real-time monitoring dashboards in Next.js/React with Tailwind CSS that visualized queue depth, SLA burn, and worker performance, cutting average response time by 41% and showing trends and alerts in a Next.js dashboard.
  • Designed a priority-aware queue in PostgreSQL that supported deadlines, preemption, and batch reservations, reducing average queue wait times by 64%.
  • Engineered a policy-driven task router in Go and FastAPI that matched tasks to the best-suited annotators based on skills, past quality, and SLAs, improving assignment accuracy by 72%.
Impact
  • Improved student understanding with average grade increase of 15%
  • Reduced student confusion through clear explanations and examples
  • Enhanced course materials used by 100+ students per semester
  • Received consistently positive feedback from students
  • Helped 85% of struggling students improve their performance

Research Assistant

University Research Lab

Spring 2022

Worked on machine learning research project focused on natural language processing. Contributed to data preprocessing and model evaluation.

Languages, Technologies, and Tools
Python Pandas NumPy Scikit-learn TensorFlow NLTK Jupyter Git LaTeX
Tasks Completed
  • Preprocessed large datasets using Python and pandas
  • Implemented and tested various ML algorithms
  • Co-authored research paper (submitted for publication)
  • Conducted literature review on NLP techniques
  • Performed statistical analysis and model evaluation
  • Created visualizations for research findings
Impact
  • Contributed to research paper submitted to top-tier NLP conference
  • Improved model accuracy by 12% through data preprocessing optimization
  • Processed and analyzed over 1M text samples
  • Developed reusable preprocessing pipeline for future research
  • Presented findings at university research symposium

Featured Projects

E-Commerce Platform

Full-stack e-commerce application built with React, Node.js, and MongoDB. Features include user authentication, product catalog, shopping cart, and payment integration.

React Node.js MongoDB Stripe API

AI Chatbot

Intelligent chatbot using natural language processing and machine learning. Capable of answering questions and providing assistance in multiple domains.

Python TensorFlow NLTK Flask

Task Management App

Cross-platform mobile application for task management with real-time synchronization. Built using React Native with offline support and cloud backup.

React Native Firebase Redux SQLite

Get In Touch

Let's Connect

I'm always interested in new opportunities, collaborations, and interesting projects. Feel free to reach out if you'd like to work together or just want to chat about technology!

anishcheraku3@gmail.com
acheraku3@gatech.edu
+1 (281) 690-6736
U.S.A.