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Hello, World.

My name is Adwait Vaidya.
Coder
Always Curious

About

More About Me.

Hi there, I'm Adwait Vaidya

As a SWE at Verizon, I am a highly motivated and detail-oriented individual with a passion for coding and problem-solving. With a strong foundation in programming languages such as Rust,Go, and Python, I am skilled in developing, testing, and debugging software applications. During my academic career, I gained experience in Machine Learning, Computer Vision, NLP, Software Design and Development Methodologies, and Algorithms. I also participated in several projects, including team-based software development projects and individual research projects, which further developed my technical and collaboration skills. I am excited to apply my skills and knowledge to a professional setting, and to continue learning and growing in a dynamic and challenging work environment.

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Skillset

I've Got Some Skills.

  • Java
  • Python
  • React
  • TypeScript
  • C++
  • Rust
  • Go
  • C#
  • Android
  • Firebase
  • AWS

Career and Education

More of My Credentials.

Experience

June 2023 - Present

Verizon

Software Engineer

  • Worked on the VSON team, an automation tool that takes care of and identifies and corrects misaligned configurations within the Verizon Network, mainly used to care of System performance, Network planning, Network Engineering Maintenance, etc.
  • Implemented REST Microservices using spring boot. Generated Metrics with method level granularity and Persistence using Spring AOP and Spring Actuator.
  • Worked in agile framework as an individual contributor Responsibilities include - Interaction with Business team in story grooming, reviewing story/acceptance criteria.

September 2022 - May 2023

Interactive Learning & Design Lab

Research Assistant

  • Developed a website that will be used by over 1000 students in local schools.
  • Optimized web application performance, including page load times, image optimization, and caching.
  • Fixed major bug in Unity physics simulation and integrated into the website to provide a more refined UX.

January 2022 - May 2023

Department of Computer Science - University of Wisconsin, Madison

Peer Mentor - CS 540:Introduction to AI

August 2021 -- January 2022

Department of Computer Science - University of Wisconsin, Madison

Peer Mentor/Assistant Grader -Foundations of Mobile Sys. and Apps

  • Mentor and support students and colleagues in studying coursework, providing constructive feedback and guidance to improve work and performance.
  • Use effective communication and active listening skills to identify the individual needs and goals of each mentee, and share personal experiences and insights to help mentees build knowledge, skills, and confidence.
  • Assist with course administration and provide brief code reviews, helping students to identify and resolve bugs in their code.

June 2022 - August 2022

Enfusion

Software Developer- Intern

  • Designed, developed, and implemented an internal tool to manage API endpoints in a fintech environment.
  • Developed and maintained websites and web applications using a variety of programming languages, including HTML, CSS and TypeScript,
  • Collaborated with cross-functional teams, including UX designers, product managers, and quality assurance engineers to ensure that the web application meets user requirements and quality standards.
  • Ensured that the web application has high availability and fault tolerance, and can handle large volumes of traffic and data.
  • Designed and develop data models and algorithms to support Data processing. Implement and integrate with third-party APIs, such as data providers and optimize web application performance, including transaction processing times and data latency.
  • Participated in code reviews, pair programming, and other collaborative activities to help improve the overall quality of the codebase

December 2021 - September 2022

Department of Computer Science - University of Wisconsin, Madison

Student Researcher - WiNGS Lab

  • Designed and developed a central command application for Microsoft HoloLens for firefighters to manage complex building structures in 3D augmented reality.
  • Collaborated with cross-functional teams to gather requirements and identify necessary features.
  • Developed intuitive interfaces and real-time communication capabilities, such as audio and video streaming, for easy navigation and effective communication among firefighters and with command centers.

January 2022 - May 2022

Department of Computer Science - University of Wisconsin, Madison

Robotics Engineer - People and Robotics Lab

  • Designed, developed, and tested robotic systems and solutions using ROS (Robot Operating System) and Gazebo simulation environments.
  • Wrote code in a variety of programming languages, including C++ and Python, to control robot motion, perception, and interaction with the environment.
  • Optimized robot performance, including speed, accuracy, and efficiency, through iterative testing and improvement of algorithms and control systems.
  • Worked with robotics simulators to test and verify robot performance in a virtual environment before deploying in the real world.

Education

Jan 2021 - May 2023

University of Wisconsin, Madison

BSc in Computer Science

- Runner up Enfusion Hackathon

Certification

Issued May 2021

Engineering Virtual Experience

Goldman Sachs

Issued Jan 2021

Software Engineering Virtual Experience

JP Morgan Chase & Co.

Issued Dec 2020

Python 101 for Data Science

IBM Developer Skills Network

Issued August 2019

Java Programming Masterclass

Udemy

Projects

Workout Recommendation system

- Developed a machine learning-based system that provides personalized health tips based on users' medical conditions and other relevant data , and integrated them with a website's front end.

IceCube - Neutrinos in Deep Ice

- Developed a neural network regression algorithm using Python and deep learning frameworks such as TensorFlow and PyTorch to predict neutrino event energies from the raw detector signals, using large datasets genered by Ice-Cube facility in Antarctica.

CNN classifier for leaves

- Developed a deep learning model using Convolutional Neural Networks (CNN) to classify leaves from different plant species accurately.

Student Scheduler

- Developed a mobile-based scheduling application specifically for students to manage their daily, weekly, and monthly academic schedules, assignments, and deadlines.

Foster Friends

-Developed a website for a foster parent program that connects potential foster parents with local rescue organizations and facilitates the process of fostering animals, and created a back-end system to manage the application process, which includes collecting relevant information about potential foster parents, their living situation, and their experience with animals.

R4 HAL

-Developing a HAL (Hardware Abstraction Layer) for Arduino Uno R4 in Rust.

Reflexive HID

-Developing an interface to convert telemetry data to HID inputs.

Contact

Always looking for new exciting opportunities. Feel Free to Contact Me At.

Where to find me

Dallas, TX

Email Me At

adwait.vaidya1120@outlook.com

Call Me At

Phone: (+1) 608-886-1658