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

I am a Software Developer from Bengaluru, Karnataka, India. With a solid foundation in Computer Science, I am dedicated to bringing ideas to life. I am proficient in a variety of programming languages, including Python, Java, C++, HTML, SQL, JavaScript and more.

I am not one to settle for the status quo; I continuously push my personal boundaries to reach higher goals.. As a friendly critical thinker and adept problem solver, I thrive on tackling challenges head-on, seizing every opportunity to innovate and excel.

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: 3.65 / 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