Hi, I'm Pranav Nair

Software Engineer & Space Enthusiast

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Easter Egg!

About Me

Hi! I'm Pranav, a passionate software engineer with a love for space, technology, and building impactful solutions. I graduated from The University of Texas at Dallas with a Bachelor of Science in Computer Science with Honors (GPA: 3.83/4.0).

Relevant Coursework:

  • Computer Architecture
  • Data Structures & Algorithms
  • Operating Systems
  • Database Design
  • Machine Learning

Experience

Software Engineer @ Deloitte Tax LLP

Dallas, TX — Jul 2024 - Present

  • Software Engineer for the Internet Partnership Allocation and Compliance System (iPACS™) tax solution for partnerships.
  • Used ASP.NET Core, SQL Server, Angular to provide CI/CD software development through maintenance and bug fixes.
  • Utilized Azure DevOps to deploy pipeline releases for continuous build developments to the iPACS software.

Software Engineer Intern @ Charles Schwab

Jersey City, NJ — Jun 2023 - Aug 2023

  • Independently designed, programmed, and rigorously tested a Java application to strengthen security measures for a leading vendor collaborating with Schwab, resulting in a 23% increase in zero-day vulnerability detection.
  • Developed RESTful API calls to efficiently retrieve security-related data and execute commands through a command-line interface (CLI), resulting in a 30% reduction in backend dependency.
  • Implemented an algorithm for data pre-processing and the selection of important data fields, increased the data quality by 25%, and streamlined the seamless transmission of Points of Interest (POI) data to a Confluence server dashboard.

IT Intern @ Brown & Brown Insurance Inc.

Daytona Beach, FL — Jun 2022 - Aug 2022

  • Architected and deployed a web application, using JavaScript, Articulate Storyline, and Adobe Illustrator within an Agile framework, to automate the new hire onboarding process of 3k employees per year.
  • Engineered SQL queries in conjunction with PowerBI to analyze and extract valuable business insights from complex datasets, resulting in an 18% increase in operational efficiency through data automation.

Projects

Security Vulnerabilities Detection

Sep 2022 - Dec 2022

LinuxERLKingJoernCC++
  • Applied the ERLKing vulnerability scanner to identify software vulnerabilities by pinpointing Points of Interest (POIs) in the source code, identifying at least 3 security concerns per data point.
  • Transformed code into Code Property Graphs (CPG) used DWARF memory layout data to generate a log file.
  • Methodically cross-referenced 125 POIs in the C++ source code using the ERLKing vulnerability scanner, filtering out false positives, and pinpointing vulnerabilities with precision.

Intelligent Password Estimator

Feb 2022 - May 2022

PythonOpenAI GPT-3YAKE!
  • Programmed Python to collect, clean, and preprocess 1M data rows from web scrapping, improving the accuracy by 10%.
  • Implemented a keyword extractor to identify popular keywords within the dataset.
  • Leveraged the GPT-3 machine learning model to generate passwords using 15k popular keywords, resulting in a 35% improvement in guess accuracy.

Skills

Languages

C#
Java
C++
Python
C
SQL
JavaScript
Lua
Verilog
Bash scripting

Database

Microsoft SQL Server
MySQL
PostgreSQL
MongoDB

AI/ML

Matplotlib
Pandas
scikit-learn

Framework

Angular
ASP.NET Core
ReactJS
FastAPI

Security Tools

Redgate
Dynatrace
BurpSuite
Kali Linux tools
Metasploit

Cloud/Other

Azure DevOps
Jira
Bitbucket
Git
Gradle

Contact Me

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