cv

[pdf: academic cv] [pdf: professional cv]

General Information

Name Vineeth NC
Date of Birth March 6, 1997
Languages English, Telugu, Hindi

Skills

  • Languages
    • Python
    • C
    • SQL
    • Go
  • Data Science
    • Analytics
    • Visualization
  • Machine Learning
    • numpy
    • pandas
    • tensorflow
    • pytorch
    • scikit-learn
  • Technologies
    • Amazon Redshift
    • Amazon Quicksight
    • SQL Workbench
  • Miscellaneous
    • Adobe Audition CC 2015
    • Audacity
    • Adobe Premiere Pro CC 2014

Education

  • 2021 - 2023
    Masters of Science in Computer Science
    University of Maryland, Baltimore County
  • 2020 - 2021
    Diploma in Artificial Intelligence and Machine Learning
    BITS Pilani, Hyderabad Campus
  • 2014 - 2018
    Bachelor of Technology in Computer Science and Engineering
    Vardhaman College of Engineering, Hyderabad - JNTUH

Experience

  • 2023 - Present
    Intern
    TruVs Inc.
    • Working with a team on building a smart search application using LLMs
    • Mentoring the team in identifying tasks and challenges, and building a roadmap to completing the project.
    • Tracking and managing the stages of the development process and helping the team with technical issues.
    • Handling the integration of different components and conducting reviews of every individual's work.
  • 2022 - 2023
    Lab Assistant
    University of Maryland, Baltimore County, USA
    • Working for UMBC's CSEE Department in the capacity of a researcher for different projects.
    • Contributing to work pertaining to scientific visualizations in VR/MR.
    • Currently working on optimizing point cloud rendering for Unity.
    • Converting existing implementations of high-speed LOD centered rendering for the project.
    • Diagnosed the Pi-Squared Lab's CAVE2 wall in order to identify areas that needed repair and restore.
  • 2018 - 2020
    Research Associate
    IT Wizlab, Hyderabad, India
    • Authored beginner and intermediate level Python courses.
    • Wrote a beginner course for R.
    • Contributed to designing and writing content for the company's Learning Management System product.
    • Wrote multiple beginner courses and labs pertaining to the following machine learning topics:
      • Regression
      • Feature Engineering
      • Classification
    • Handled sysadmin work for over 50 systems.
  • 2017 - 2018
    Data Engineer - Intern
    Amazon, Hyderabad, India
    • Wrote, tested, and deployed ETL code to perform optimal data migration on the production environment.
    • Managed the UAT environment completely and maintained the logs.
    • Studied existing relational databases on Oracle and designed their counterparts for Amazon Redshift.
    • Built reports on Amazon Quicksight based on specizalized views in Amazon Redshift.
    • Authored whitepapers discussing the limitations of then-AWS technology in the context of the project.
  • 2016 - 2017
    Cybersecurity Researcher - Intern
    Spyry Technologies, Bengaluru, India
    • Learned and gained real time experience about vulnerability assessment and penetration testing.
    • Conducted a web vulnerability assessment for a client and wrote a report regarding the different issues on the site.
    • Built a sample unsecure website from scratch and implemented incremental cybersecurity measures.
    • Identified and patched different issues on the client site like SQL Injection and XSS.

Academic Projects and Papers

  • 2022/10 - 2022/12
    Training Vision-Language Models for Image Classification
    • Project to train a multimodal classification model that uses text and image data.
  • 2022/10 - 2022/12
    Computational Humor - A Survey of the Literature
    • Literature review to discuss work done across some significant papers in the field of computational humor.
  • 2022/10 - 2022/12
    Solar System Simulator to Model Celestial Motion and Predict Eclipses
    • Project to simulate a solar system from scratch and find equations of motion for celestial bodies.
  • 2022/03 - 2022/05
    Data Augmentation Comparison Study
    • Project to test the efficacy of an image classification training dataset with and without GAN generated data augmentation.
  • 2022/04 - 2022/05
    Fail-Silent Replicated Token Manager with Atomic Semantics
    • Project to build a client-server token management system that simulates a fail-silent system.
  • 2021/09 - 2021/12
    Benchmarking CNNs on Image Classification Task
    • Project to compare the performance of VGG16, VGG19, ResNet50, and ResNet101 on an image classification task.
  • 2021/09 - 2021/12
    Baltimore City Crime Data Dashboard
    • Project to construct a data dashboard to track and visualize crime statistics for Baltimore City.
  • 2020/04 - 2020/05
    Mediclaim Processing
    • Project to build and test classification models and neural networks to predict medical insurance claim acceptances.

Other Experience

  • 2021 - Present
    Podcast Editor
    Have I Made It Yet? - A Podcast for Filmmmakers
    • A passion project, part of the original founding team of the podcast.
    • Edited over 90% of the first season.
    • Currently editing the second season, which is awaiting release.
  • 2020 - 2021
    Content Writer - Mathematics
    Ekluvya, Hyderabad, India
    • Built a mathematics course for 9th-11th grade level students.
    • Wrote 120 video scripts as a part of the course.
    • Researched and implemented storytelling methodologies in teaching mathematics.
  • 2020 - 2020
    Subject Matter Expert - Intern (Computer Science)
    Dimentics Info Tech, Delhi, India
    • Solved questions in programming, computer organization, and networks textbooks.
    • Wrote original solutions to over 500 questions.

Competitions and Awards

  • 2022
    • Top 2 percentile of one million users worldwide in Project Euler.
  • 2017
    • Winner of multiple coding and public speaking events at Technolites-2k17, Vardhaman College of Engineering, Hyderabad, India.
  • 2016
    • Tied 3rd Place at South Zone Regionals, Quantum Code, Techfest, IIT-B in Hyderabad, India.
    • Winner of multiple coding and public speaking events at Technolites-2k16, Vardhaman College of Engineering, Hyderabad, India.
  • 2015
    • Best Journalist winner, International Press department, Hyderabad MUN, Hyderabad, India.
    • National level Finalist - Excel 2013, Microsoft Office Specialist, Delhi, India.
    • 3rd Place at Nationals, Battlecode, Techfest at IIT-B, Mumbai, India.
    • 3rd Place at South Zone Regionals, Battlecode, Techfest in Hyderabad, India.
  • 2014
    • Winner of Public Speaking competition by Centre For Good Governance, Government of India, at Hyderabad, India.
  • 2011
    • Winner, Science Quiz, Indian Institute of Chemical Technology, Hyderabad, India.