Hi! I'm Vignesh Ramesh

Passionate about crafting scalable software and pioneering machine learning, I thrive at the intersection of tech, math, and computer science. My drive stems from a thirst for knowledge and making impactful contributions to the evolving tech landscape. With an unwavering belief that I can conquer any challenge through dedication and intellect, a passionate curiosity fuels my drive. This innate desire to explore, learn, and solve problems pushes me beyond conventional boundaries, making me a perpetual seeker of knowledge and an innovator of progressive solutions.

Kubernetes

Angular

React

Python

PyTorch

Java

C/C++

SQL

Airflow

Spring Boot

Docker

Kubernetes

Angular

React

Python

PyTorch

Java

C/C++

SQL

Airflow

Spring Boot

Docker

What I do ..

I bring a dynamic blend of expertise, skills, and innovative solutions to the table.

Get in touch

Back-end Software Development

I develop and maintain highly scalable and robust back-end software systems, supporting mission-critical applications. Additionally, I excel in optimizing architecture and designing robust infrastructure, empowering software services and front-end products.

Data and Service Integration

I am adept at integrating apps with databases, cloud services, middlewares, and APIs in a seamless manner. Through my meticulous approach and in-depth knowledge, I have a knack for establishing robust connections that foster smooth interoperability across diverse technological landscapes. My ability to navigate and harmonize complex systems reflects my commitment to delivering top-tier solutions in the realm of application integration.

Data flow Engineering and Automation

I optimize operational efficiency by implementing streamlined workflow automation using Apache Airflow. I engineer and automate data flows and processes, developing comprehensive workflow pipelines that orchestrate a sequence of programmed actions, facilitating seamless business operations.

Data Science and Machine Learning

I build machine learning and deep learning models, ensuring a robust foundation for data-driven decision-making. Through meticulous data preprocessing and analysis, I delve into patterns that drive informed choices. My approach involves creating innovative solutions, effectively solving business problems by applying my technical knowledge and fostering meaningful collaboration.

Timeline

My journey so far

2022

Master Of Science (MS)

Arizona State University, Tempe, AZ, USA
Computer Software Engineering
Aug 2022 - May 2024
Current interests:
Software Engineering, System Design, Data Science, Machine Learning, Deep Learning, Game Design, Knowledge Graphs
Capstone Project:
Intrusion Detection in softwarized 5G Networks using Machine Learning
GPA: 3.87/4

VMware - Member of Technical Staff

2020

VMware - Member of Technical Staff

Chennai, Tamil Nadu, India
Full-stack Software Engineer
Jul 2020 - Aug 2022
Developed and architected a distributed system of 10 microservices through Spring Boot, Docker, and Kubernetes to process subscription data of SaaS products and VMware Cloud on AWS.

2020

VMware - Intern

Chennai, Tamil Nadu, India
Software Engineer Intern
Jan 2020 - Jun 2020
Developed an email automation microservice leveraging Spring Boot, SendGrid Email API, and HTML.

Bachelor Of Technology (B.Tech)

2016

Bachelor Of Technology (B.Tech)

SASTRA Deemed University, Thanjavur, India
Computer Science and Engineering
Jul 2016 - May 2020
GPA: 7.85/10
Honors: I was awarded the Dean's Merit Scholarship for being in the top 10 percent of students across all departments in the academic year 2016-2017.

2014

Higher Secondary (12th Grade)

Maharishi Vidya Mandir, Chennai, India
Mathematics, Physics, Chemistry, Computer Science, English
Jun 2014 - Feb 2016
Central Board of Secondary Education (CBSE)
Score: 478/500 (95.6 %)
Honors: I secured 95 and above in all the subjects in the AISSCE board exam.

High School (10th Grade)

2012

High School (10th Grade)

G.K. Shetty Vivekananda Vidyalaya Junior College, Chennai, India
Mathematics, Science, Social Science, English, Tamil
Jun 2012 - Feb 2014
Central Board of Secondary Education (CBSE)
CGPA: 10/10
Honors: I was Awarded merit scholarship for securing 90% and above in all subjects in the annual exams from 6th through 10th grade.

search engine for the data of the–>–>--> Smithsonian American Art Museum, utilizing Pandas for–>–>--> data preprocessing, OWL and the–>–>--> Fuseki server to create a knowledge graph, and Spring–>–>--> Boot with Apache Jena and SPARQL–>–>--> for querying. Integrated NLP capabilities with YAKE for–>–>--> enhanced search accuracy and–>–>--> keyword extraction from user queries.–>–>--> • Scrum simulation CLI: Implemented a Command Line–>–>--> Interface (CLI) to simulate the–>–>--> operations of a scrum project, which is hosted in Taiga–>–>--> (an open-source project–>–>--> management tool). Built the CLI using Spring Boot, which–>–>--> interacted with the Taiga APIs–>–>--> to exchange data and perform CRUD operations from–>–>--> command line inputs.–>–>--> • Programming Language: Created a C-style programming–>–>--> language from the ground up,–>–>--> employing Python for lexical analysis and Prolog for–>–>--> building grammar, token parsing,–>–>--> and evaluating semantic expressions.–>–>--> • Country Search App: Built an Angular application with–>–>--> search capability to showcase–>–>--> various country details, fetched from an external API.–>–>--> • Twitter Design: Designed a simplified version of–>–>--> Twitter in C++ where users can post–>–>--> tweets, follow or unfollow another user, and see the 10–>–>--> most recent tweets in the user's–>–>--> news feed.–>–>-->

–>–>-->

Projects

lastest work

Projects

lastest work

PyTorch

Scikit-Learn

Machine Learning

Network Intrusion Detection

Developed a powerful dense neural network with autoencoders, analyzing over 1.2 million data points from the 5G-NIDD dataset to enhance network security. Achieved exceptional results in detecting and classifying intrusions within software-defined 5G Networks, boasting a 0.996 F1 score and 99.7% test accuracy.

Python

Statistics

Weighted Ranking

Movie Recommendation System

Created a powerful movie recommendation system that leverages both content-based and collaborative filtering techniques to provide personalized suggestions tailored to individual preferences. By combining movies' genres and metadata with user rating patterns, the recommendation system employs advanced algorithms to extract relevant features and compute similarity scores.

Java

Maven

REST API

Scrum simulation CLI

Developed a Java-based Command Line Interface tool with JLine library and Taiga APIs to simulate agile processes, halving traditional workflow simulation time. Engineered three distinct scrum workflow strategies: divide and conquer, push, and pull, integrating object-oriented programming principles.