Summary
Overview
Work History
Education
Skills
Languages
Projects
Timeline
Generic
Tejas Kannan

Tejas Kannan

Dubai

Summary

Third-year BE Computer Science student with a strong foundation in data structures, algorithms, and object-oriented programming. Proficient in languages like C, Python and Java. Actively seeking an internship to apply my technical skills to a real world project.

Overview

2
2
years of professional experience

Work History

Intern

Software Engineering Internship
Chennai
06.2025 - 08.2025
  • Contributed to the design and development of scalable, production-grade software systems across enterprise, and data-driven platforms.
  • Built a SQL-driven cube semantic layer for KPI modeling, and improved the currently existing Apache Superset dashboard performance by approximately 35% through caching strategies and pre-aggregations.

Intern

Legal Internship
Chennai
07.2023 - 08.2023
  • Interned at a law firm specialising in patents, trademarks and IPRs.
  • Assisted in filing, drafting, and organising legal documents for ongoing and upcoming cases.
  • Helped in coordinating court appointments and hearings while working with fellow interns and practising advocates to ensure timely case preparation.

Education

Bachelor of Engineering (BE) - Computer Science

BITS Pilani Dubai Campus
Dubai
08.2027

Skills

  • Verilog
  • C
  • Java
  • Python
  • SQL
  • JavaScript
  • Teamwork
  • Creativity
  • Leadership
  • Reliable
  • Punctual

Languages

English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Tamil
Native
Native

Projects

Sports Fest Management Application | Java, GUI

  • Developed a Java-based GUI application to streamline sports fest planning and operations.
  • Implemented event scheduling, inventory tracking, and real-time updates to enable seamless coordination.
  • Integrated equipment management and notification systems to improve operational efficiency.

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 Hostel Mess Menu Personalization & Nutritional Optimization | Machine Learning, SQL

  • Designed a data-driven system to personalize hostel mess menus based on dietary preferences, health goals, and allergies.
  • Built regression models to forecast food consumption and reduce wastage through demand prediction.
  • Implemented a hybrid recommendation engine using collaborative and content-based filtering for personalized meal suggestions.
  • Integrated nutritional databases (FDC/IFCT) to compute calorie and macronutrient breakdowns.
  • Optimized menu planning under budget constraints using Linear Programming techniques.
  • Developed dashboards providing actionable insights on nutrition, cost efficiency, and menu popularity.

Timeline

Intern

Software Engineering Internship
06.2025 - 08.2025

Intern

Legal Internship
07.2023 - 08.2023

Bachelor of Engineering (BE) - Computer Science

BITS Pilani Dubai Campus
Tejas Kannan