Nithish Suresh

About Projects Skills Contact

About Projects Skills Contact Connect

Nithish Suresh

Software Developer

Building Scalable Applications and Cloud Solutions and Intelligent Systems

Software Engineering Cloud Engineering

About Me

Results-driven cloud-native software engineer with expertise in building distributed systems using Go and Python. Currently pursuing my Master's in Computer and Infromation Science at the University of Michigan. Proficient in developing high-performance, fault-tolerant applications leveraging AWS/GCP cloud services, microservices architecture, and containerization. Research experience in GenAI with a focus on deepfake detection systems. Passionate about designing scalable and efficient solutions that handle high-concurrency workloads while maintaining response times.

3+ years experience in Software and Cloud Solution architecture

Specialized in Golang microservices

AWS Deployments

Nithish Suresh

Education

University of Michigan

Master of Science in Computer and Information Science

August 2023 - May 2025

Anna University

Bachelor of Technology in Computer Science and Engineering

August 2018 - May 2022

Technical Skills

Languages & Database

Golang

Python

C++

C

JavaScript

PostgreSQL

MySQL

SQLite3

DynamoDB

Cloud & DevOps

Google Cloud

AWS

Docker

Kubernetes

Git

GitHub

Redis

Cloud Run

Bigtable

AI/ML

Ollama

LangChain

OpenAI

PyTorch

OpenCV

TensorFlow

Featured Projects

Marine Research Ecosystem Image 1

Marine Research Ecosystem Image 2

Marine Research Ecosystem Image 3

Offline-First Marine Research Ecosystem

Constructed an offline-first mobile and web ecosystem designed for marine researchers studying coral reefs in locations with unreliable internet access.

React Native Vue.js Tailwind CSS Go AWS (EC2, S3) Ollama PostgreSQL

Leveraged React Native for an offline-first architecture that supports field operations.
Applied Vue.js and Tailwind CSS to create a responsive user interface for data management.
Developed Go RESTful APIs deployed on AWS to offer scalable processing solutions.
Employed Ollama/TinyLlama on EC2 for species identification combined with Wikipedia integration.
Established solid protocols ensuring data integrity throughout varying connectivity situations.
Successfully removed connectivity limitations for marine research in geographically isolated locations.
!!!! The repo and webapp here is an prototype for this project !!!!

GitHub Live Demo

Deepfake Detection System Image 1

Deepfake Detection System Image 2

Deepfake Image Detection System

Leveraged the GenImage dataset to train an AI detection system, achieving a remarkable 98.5% accuracy rate in deepfake image identification.

Python PyTorch OpenCV

Achieved a remarkable 98.5% accuracy rate in deepfake image identification.
Outperformed existing methods in deepfake image detection by attaining a 98.5% accuracy, outperforming benchmark tests by 3.7%.
Evaluated leading AI/ML models such as Midjourney, Stable Diffusion, ADM, GLIDE, Wukong, VQDM, and Big, illustrating superior detection capabilities across diverse image classes.

GitHub Live Demo

Chat Application Image 1

Chat Application Image 2

Scalable Real-Time Chat System

Engineered a high-performance, Discord-inspired chat platform with distributed architecture supporting 10,000+ concurrent users and real-time message delivery.

Go WebSocket DynamoDB AWS SQS Docker

Achieved horizontal scalability using consistent hashing
Optimized message delivery latency by 40% via FIFO queues
Implemented fault tolerance with Docker containerization

GitHub Live Demo

Smart Door System Image 1

Smart Door System Image 2

AI-Powered Smart Door Security

Developed an intelligent access control system integrating facial recognition with AWS Rekognition and multi-factor authentication.

Python AWS Rekognition Lambda Kinesis

Achieved 95% accuracy in facial recognition
Implemented secure time-based OTP system
Real-time notifications for unauthorized access attempts

AI Dining Concierge Image 1

AI Dining Concierge Image 2

AI Dining Concierge

Built a serverless restaurant recommendation chatbot using NLP to provide personalized dining suggestions.

AWS Lex Lambda Elasticsearch DynamoDB Yelp API

Optimized response time by 60% with DynamoDB caching
Enhanced search accuracy with Elasticsearch fuzzy matching
Integrated automated SMS notification system

GitHub Live Demo

Collaborative Todo List Image 1

Collaborative Todo List Image 2

Collaborative Todo List

Developed a real-time collaborative task management system with concurrent access control and live updates for shared household coordination.

Go SQLite3 REST API Chi Router WebSocket

Mutex-based concurrency control for safe task updates
Real-time notifications using WebSocket synchronization
RESTful API with efficient CRUD operations

GitHub Live Demo

Ad-Free Manga Reader Image 1

Ad-Free Manga Reader Image 2

Ad-Free Manga Reader

Developed a streamlined manga reading platform with content caching and offline reading capabilities for an optimized, ad-free reading experience.

Go REST API PostgreSQL Tailwind CSS Docker

70% faster load times with image caching system
RESTful API for manga metadata management
Responsive UI with infinite scroll and preloading

GitHub Live Demo

Weather Forecast Application Image 1

Weather Forecast Application Image 2

Weather Forecast Application

Built a high-performance weather forecasting system with intelligent location detection and real-time weather updates using OpenWeatherMap API.

Go Tailwind CSS REST API Chi Router Docker AWS App Runner

Multi-layer location detection system
50+ requests/sec handling with Go concurrency
99.9% uptime with Route53 failover routing

GitHub Live Demo

Tic Tac Toe Game Image 1

Tic Tac Toe Game Image 2

Real-Time Multiplayer Tic Tac Toe

Built a cross-platform multiplayer Tic Tac Toe game with real-time gameplay using WebSocket for seamless player interaction and move synchronization.

Go WebSocket JavaScript HTML/CSS Docker

Real-time game state synchronization
Matchmaking system and game room management
Responsive UI with instant validation updates

GitHub Live Demo

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☕ Available for collaborations and coffee chats

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