I am a full stack web developer specializing mostly in JavaScript/Node.js and JAVA but also work with Python.
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ms-garage-2020-faceable-admin-console
July 26, 2020 – July 7, 2022
This repository contains the source code for the Governance Dashboard Web application for the `Faceable` project as the submission entry for `Microsoft Garage Hackathon 2020` under the category `Hack for Security of Remote Work` to avoid shoulder surfing.
View Projectms-garage-2020-faceable-middleware
July 26, 2020 – December 22, 2022
This repository contains the source code for the API middleware service for the Faceable project as the submission entry for Microsoft Garage Hackathon 2020 under the category Hack for Security of Remote Work to avoid shoulder surfing.
View Projectaiml-lsa-chatbot
April 17, 2019 – May 21, 2019
AIML and LSA powered interactive chatbot with a retrieval based algorithm for FAQs from a given dataset.
View Projectitsm-ticket-classification
November 29, 2018 – February 6, 2019
A simple concept to classify ITSM tickets by category using SciKit Learn and ML Models
View ProjectWearOS-and-Android-Talking-DataLayer
October 10, 2018 – October 10, 2018
WearOS app and Android app talking to each other via DataLayer.
View ProjectAndroid-FireBase-Push-Notification
September 30, 2018 – September 30, 2018
Implementation of FCM (Firebase Cloud Messaging) for android push notification.
View ProjectHTML5-DragnDrop-with-Node.js
August 21, 2018 – August 21, 2018
It's a simple image Drag and Drop webapp with HTML,CSS and JS. After dropping one can send the response to the Node.js backend.
View ProjectFacenet-Facematch-and-Clustering
July 30, 2018 – July 30, 2018
Facenet faacematch and clustering based on facenet tensorflow
View Projectunsupervised-clustering-faces-tensorflow
July 27, 2018 – December 8, 2022
A robust, enterprise grade multi-tasking convolutional neural net based on Google FaceNet optimized for speed and performance that clusters images cropped from videos using Unsupervised Learning
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, demonstrating initiative and a passion for learning diverse technologies, including machine learning, mobile development, and web development. While the target role is Frontend Developer, a significant portion of projects are in Python/ML and Java/Android, indicating a broad technical interest. This diversity could be a strength for cross-functional collaboration but also suggests a less focused path towards frontend specialization. The 'ms-garage-2020-faceable-admin-console' and 'HTML5-DragnDrop-with-Node.js' projects align well with a frontend role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.