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Face-Detection-Android-App
September 25, 2020 – September 25, 2020
An Android Face Detection App built with Kotlin. Fake and Real Face Classification using custom C++ and JNI engine for faster computation
View ProjectAnti-Spoof_Face_recognitionV2
July 30, 2020 – October 3, 2023
Anti-Spoof_Face_recognitionV2 — GitHub repository
View ProjectAnti-Spoof_Face_Recognition
July 22, 2020 – July 30, 2020
Anti-Spoof_Face_Recognition — GitHub repository
View ProjectAho-Corasick-Automation
May 19, 2020 – May 20, 2020
Aho-Corasick-Automation — GitHub repository
View ProjectRL-Forex-trader-LSTM
March 30, 2020 – December 8, 2022
Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader
View ProjectAttention-LSTM-FX-EUR_USD-forecast
March 30, 2020 – March 30, 2020
EUR/USD Forex Forecasting using Attention LSTM
View ProjectML-NewBie-s-Heaven
December 2, 2019 – December 3, 2019
A place to find all basic old school Deep Learning concepts, codes and Google Colab trainable python notebooks.
View ProjectPneumothorax-Detection-CNN-Keras
December 29, 2018 – December 29, 2018
Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab
View ProjectMinesweeper-with-undo-lifelines-using-C-language
April 27, 2018 – October 15, 2018
Minesweeper with undo/lifeline function using Stack in C language.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong self-starter mentality and passion for technology, evidenced by numerous personal projects across diverse domains (AI/ML, mobile development, algorithms). This indicates a proactive and curious individual who could contribute positively to an innovative team culture. The variety of projects suggests adaptability and a willingness to explore different technical areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good technical communication.