Deep Learning | Android | Blogger
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mini-comet
September 27, 2025 – October 4, 2025
A chrom extension code (inspired from Comet by Perplexity) to summarize a web page content and chat on its content using a locally running LLM.
View Projectknowledge-graph-demo
August 30, 2025 – September 6, 2025
practice how to build knowledge graph from given text corpus
View Projectkotlin-multiplatform-demo
May 17, 2022 – May 20, 2022
A sample project to show how to use KMM to build Android and iOS app with shared code
View Projectneural-nets-are-reversible
October 23, 2021 – November 27, 2021
Implementation of paper "Deep Neural Networks are Surprisingly Reversible"
View Projectsmarter-launcher
April 8, 2021 – October 24, 2021
An Android launcher which understands your usage patterns and updates the Home screen with a list of apps which are most likely to be used by you next.
View Projectaidl-sensor-demo
February 26, 2021 – February 26, 2021
This is an Android application to demonstrate how to use AIDL for inter-process communication (IPC).
View Projectshortest-distance-approx-deep-learning
May 2, 2020 – May 24, 2022
Implementation of the paper "Shortest Path Distance Approximation using Deep learning Techniques" (under development)
View Projectstock_cnn_blog_pub
January 19, 2020 – July 12, 2020
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
View Projectga-hyperparam-tuning
December 16, 2019 – December 22, 2019
Find optimal hyper-parameters for Neural Networks using Genetic Algorithms
View ProjectStock-Price-Prediction
March 15, 2019 – September 25, 2019
Predicting stock price using historical data of a company, using Neural networks (LSTM).
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, indicating a strong drive for self-learning and exploration. However, the diversity of projects, including Android development (Kotlin, Java) and web extensions (JavaScript, HTML), suggests a broad interest rather than a focused alignment with a specific data science role. The lack of team projects or professional experience makes it difficult to assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.