Tejasw Gupta
Software Developer
Innovative software developer with 3 years of experience and over 200 real world projects. Proficient at building great user
experiences which are minimalistic and feature rich. Experienced with handling all stages of development and following all software
guidelines while cultivating collaborative and supportive team environment.
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WORK EXPERIENCE
Lead Developer
Lamarr Tech
01/2021 - Present,
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Achievements/Tasks
Designed and developed websites and applications using React, Next.js , HTML , CSS , and
Flutter.
Kanpur, India
Wrote over 150k lines of code combined for all customer projects in a timespan of 6 weeks.
tejaswagupta.me
Gathered and defined customer requirements to develop clear specifications for project plans.
Substantially improved SEO by using server side rendering and related techniques.
linkedin.com/in/tejaswgupt
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Increased client customer retention by over 20% by building apps based on brand identity.
Lead Developer
Paravijjyan LLP
SKILLS
Flutter
09/2020 - Present,
React
Achievements/Tasks
Designed and built cross-platform app from scratch using Typescript, Flutter, and Firebase.
Next.js
Java
Typescript
Kotlin
Drastically reduced costs and improved scalability by using serverless architecture.
Python
Swift
Git
Increased target audience by 50% with the use of AI instead of trainer which resulted in lower
subscription costs.
Substantially increased profits by lowering operating costs by replacing physical trainer with AI
model.
Established presentation consistency across variety of different devices with different designs
and screen sizes.
Used specific set of tools to automate the development and release workflow.
LANGUAGES
English
Native or Bilingual Proficiency
Technical Developer
MLAI
03/2018 - 09/2020,
Achievements/Tasks
Hindi
Native or Bilingual Proficiency
Worked on state of the art machine learning algorithms.
Trained models with over 88M parameters.
French
Elementary Proficiency
INTERESTS
Football
Table Tennis
Reading
Achieved accuracy of over 93% by combining multiple datasets to train model on more than
100k images.
Improved prediction accuracy by 5% using various practices including image augmentation
and more.
EDUCATION
Class 12
Sheiling House School
04/2016 - 06/2021,
