Jashaswee Jena

Mobile Developer

https://talent.gravityer.com/jashaswee-jena

Android Dev

Bengaluru, Karnataka, IndiaMember since June 25, 2026

Key Strengths

Demonstrated interest in mobile development through numerous personal projects.
Experience with both Java (Android) and Dart/Flutter for mobile application development.
Exposure to machine learning integration in mobile apps (ML Kit, TFLite for object detection).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal project development, indicating self-motivation and a passion for learning new technologies. The diversity of mobile projects (chat, ML, attendance, calculator) suggests adaptability and a willingness to explore different problem domains within mobile development. However, the reliance on tutorials for several projects might indicate a need for more independent problem-solving and architectural design experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

ObjectDetection

October 28, 2019 – October 28, 2019

A flutter app which uses Yolo or SSD models and uses TFLite to perform object detection on images. Based on a tutorial from @iampawan

View Project

Attend

September 15, 2019 – October 9, 2019

An attendance app for ITER, Bhubaneswar developed in Flutter

View Project

chatup

July 5, 2019 – February 10, 2020

chatup — GitHub repository

View Project

Camnotes

December 16, 2018 – September 13, 2019

Camnotes — GitHub repository

View Project

dummy_chat

October 21, 2018 – October 31, 2018

courtesy- @iampawan

View Project

flutter_calculator

October 20, 2018 – October 31, 2018

A simple calculator app designed in flutter, courtesy: @iampawan

View Project

flutter_login

October 19, 2018 – October 19, 2018

A basic app in flutter showcasing a simple login page UI. Courtesy- @iampawan

View Project

Ml-Kit-face-detection

May 10, 2018 – June 20, 2018

A very simple app using google's ml kit which detects faces in images from gallery or a camera activity and show happiness percentage. Do use your own google-services.json from Firebase. Happy detecting faces :) .

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ParseJson_Volley

April 19, 2018 – April 19, 2018

A simple app to parse a json, using the volley library. Courtesy :- https://www.androidhive.info/2014/09/android-json-parsing-using-volley/

View Project

SimpleApi

March 30, 2018 – May 1, 2018

based on https://www.androidhive.info/2012/01/android-json-parsing-tutorial/

View Project

Key Strengths

Demonstrated interest in mobile development through numerous personal projects.
Experience with both Java (Android) and Dart/Flutter for mobile application development.
Exposure to machine learning integration in mobile apps (ML Kit, TFLite for object detection).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Jashaswee Jena

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit