Saicasm

Sai Kumar Nekkanti

Full Stack Developer | MSCS@GW

Vaulted in the web dev wasteland, crafting pixelated perfection.Like a seasoned Vault Dweller, I navigate the complexities of distributed systems and cloud computing with Java, JavaScript, Python, and Golang. I build robust, scalable solutions that wouldn't crumble in a Radstorm.Frontend's my Nuka-Cola – energizing and refreshing! (Especially Vue & React/Next.).
Skills
Languages
JavaJava
GoGo
TypeScriptTypeScript
JavaScriptJavaScript
PythonPython
CC
C++C++
RustRust
Frontend
ReactReact
VueVue
Next.jsNext.js
HTMLHTML
CSSCSS
SCSSSCSS
TailwindCSSTailwindCSS
WebpackWebpack
Backend, Databases & Cloud
Node.jsNode.js
Express.jsExpress.js
SpringBootSpringBoot
DjangoDjango
MySQLMySQL
MongoDBMongoDB
ElasticsearchElasticsearch
KafkaKafka
PrometheusPrometheus
GrafanaGrafana
DockerDocker
K8K8
AWSAWS
GraphQLGraphQL
PostmanPostman
GitGit
Education
Masters in CS
Bachelors in CSE
George Washington University
GWU
Relevant Coursework: Distributed Systems, Cloud Computing.
Currently researching the application of eBPF in distributed systems.
Research Interests
Cloud Computing, Database Systems and Distributed Systems.
eBPF for Database Security:
Exploring the potential of eBPF technology to enhance database security through innovative safeguarding mechanisms.
Smart NIC Framework with eBPF:
Developing a framework that leverages eBPF to empower Smart NICs with functionalities like load balancing and gateway capabilities.
eBPF for Distributed Tracing and Profiling:
Investigating the application of eBPF to improve the observability of applications by enabling efficient distributed tracing and profiling.
Experience

  1. Software Engineer 2

  2. Software Engineer 1

  3. Associate Software Engineer

  4. Software Developer Intern

Streamlined dev efficiency (+25%) with templated components (Plop.js) & unit tests enforced by ESLint rules
Championed proactive code health: conducted rigorous code reviews, implemented linters, pre-commit hooks using Husky, and utilized SonarCube for continuous improvement
Built high-quality User Analytics (75% test coverage) with Node.js, React/Vue & Kafka (Django backend). Leveraged Webpack 5 & module federation for a performant experience (45% reduced frontend loading time)
Projects
DMRS
Next.js & Storybook
Job Tracker
Distributed Music Recommendation System
Frontend
Backend
Designed and implemented distributed ML model using Spotify data.
Leveraged next.js frontend and Spring Boot backend (CircuitBreaker, Kafka) for resilience and real-time data.
Articles
Medium
Medium
Next.js Tales: Navigating Development with Storybook Integration
Medium
Next.js article on Storybook Integration for UI component isolation and Tailwind CSS for rapid styling.