Tejas V Kangod - Personal Portfolio

Email
kangod@usc.edu
Phone
+1 (213) 843-0105
Birthday
March 08, 2002
Location

Los Angeles, California, USA

About me

Hola! Welcome to my abode. Here, you will learn everything you need to know about me. Take your time to explore. If you need any help, do not be shy to ask the old rascal, Joey.

A quick summary about me:

I am currently pursuing Masters in Computer Science at the University of Southern California.
I am working as a Full Stack Developer at USC Dornsife.
I enjoy building stuff that matters and solves problems.
I do a damn good job in everything I do, as I am not shy to go the extra mile.
I value my time a lot.

What i'm doing

Software Development

Identify problems in existing world and build solutions to tackle them
Full-stack Development

Build the entire web experience — from user interfaces to robust servers and databases.
Mobile App Development

Build easy to use mobile applications for real world use
Gaming

Professional E-Sports player of Clash of Clans, actively competing in numerous high-stakes tournaments.

Achievements and Awards

3rd Rank in 4th Semester of BE at RNSIT (ISE)

During my 4th semester of BE at RNS Institute of Technology in Bengaluru, I achieved 3rd place in the Information Science and Engineering department with a CGPA of 9.04.
Paper Publication in IJRTI Journal

I published a paper titled "A Survey on Sign Language Recognition: A Case Study" in the IJRTI Journal. This paper reviews existing technologies for sign language recognition, emphasizing their advantages and disadvantages. Additionally, it proposes utilizing OpenCV technology for real-time sign language recognition.
Paper Publication in JETIR Journal

I published a paper titled "Sign Language Recognition: A Case Study" in the JETIR Journal. The paper details two sign language recognition models I developed over eight months. The first is the Xception model, which detects gestures in images, and the second is the OpenCV model, which performs real-time sign language recognition.
Earned 40,000 Rupees by Winning Tournaments

I am a professional E-Sports player of Clash of Clans. I have effectively led teams ranging in size from 5 to 50, sometimes leading from the front and other times picking up the scraps to ensure the team wins at the end of the day. I have played numerous high-stakes tournaments and earned around 40,000 Rupees to date. This demonstrates my leadership and team skills, as well as my ability to strategically navigate high-pressure situations.

Educational Institutions

University of Southern California : Masters in Computer Science
RNS Institute of Technology : B.E. in Information Science and Engineering
Deeksha CFL : 11th and 12th grade
Carmel School : Nursery-10th grade

Professional Affiliations

USC Dornsife: Full-Stack Developer
Upliance.ai: Front-End Developer
Power Reseach and Development Cosultants: Software Developer
New Age Solutions Technologies: Data Analyst

Resume

Education

University of Southern California
January 2025-December 2026

Degree: Master of Science
Branch: Computer Science
CGPA: 3.67 / 4
Highlights:
- Coursework: Analysis of Algorithms, Web Technologies, Database Systems, Foundations of Modern Data Management and Processing
RNS Institute of Technology
December 2020-June 2024

Degree: Bachelors of Engineering Honours
Branch: Information Science and Engineering
CGPA: 9.06 / 10
Highlights:
- Graduated with Honors with of Cumulative GPA of 9.06 / 10
- Coursework: Design and Analysis of Algorithms, Operating Systems, Database Management Systems, Software Engineering, Web Technology and its Applications, Computer Networks and Security, Computer Organization
Deeksha CFL PU College
September 2018- October 2020

Percentage: 81% / 100
Carmel School
June 2005-July 2018

Percentage: 92.6% / 100

Experience

Full-Stack Developer
September 2025–Present
Part-Time
Company: USC Dornsife, College of Letters, Arts and Sciences
Skills: React, Redux, TypeScript, Fastify, PostgreSQL, GCP
Highlights:
- Led end-to-end development of the Pathways to Success web application using React, Fastify, and PostgreSQL, serving 350+ active users
- Implemented core features including user authentication, a Sanity-based CMS, and media and file storage systems, enhancing usability and the overall educational experience for users
- Managed full deployment pipelines on Google Cloud Platform and integrated Postmark to streamline and automate transactional email operations
Frontend Developer
July 2024–November 2024
Intern
Company: Upliance.ai
Skills: React, Redux, Typescript, HTML, CSS, Javascript, Hasura
Highlights:
- Developed core recipe card UI for web and mobile platforms, improving recipe discovery, user interaction, and information accessibility through an intuitive design
- Optimized app performance by reducing bundle size by 48% (7.75MB to 4MB), enhancing load speed and user experience
- Engineered a user-friendly recipe rating system, driving a 35% increase in user-prepared recipes and engagement
- Redesigned client-side favorites handling by storing lightweight ID references instead of full objects in LocalStorage, facilitating scalability and maintainability
Software Engineer
October 2023–December 2023
Intern
Company: Power Research and Development Consultants Private Limited
Skills: C#, Visual Studio, Microsoft Excel
Highlights:
- Integrated Excel file handling for seamless access, editing, and saving, streamlining data workflows between the GUI application and Microsoft Excel
- Implemented auto-population functionality to calculate and fill related fields based on user input, minimizing manual effort by over 40% while enhancing data entry efficiency and accuracy
- Introduced automated DAT file creation to efficiently log data from user-provided parameters, streamlining test data generation for hardware component testing and accelerating test cycles
Data Analyst
August 2023–September 2023
Intern
Company: New Age Solutions Technologies
Skills: Python, Machine Learning, Data Visualization, Jupyter Notebook
Highlights:
- Optimized large datasets by cleaning null values, removing duplicates, and addressing missing entries, ensuring data quality and consistency
- Generated actionable insights by analyzing datasets and visualized findings using tools such as Seaborn and Matplotlib, driving informed decision-making
- Developed predictive models to identify trends and correlations, enhancing forecasting accuracy and business strategy alignment
- Constructed and trained models using TensorFlow to uncover and model relationships between data fields, providing deeper insights