Senior AI Engineer | Neural Architecture Design | Applied Machine Learning
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aptx_activation
March 28, 2025 – Present
This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning".
View ProjectFileChat-RAG
March 17, 2025 – May 25, 2025
FileChat-RAG is a simple Retrieval-Augmented Generation (RAG) system that allows users to ask questions about the contents of various file formats. It extracts text from PDFs, JSON, text files(.txt, .docx, .odt, .md), and code files, then enables interactive conversations using an LLM powered by Ollama.
View Projectrotationwars2
February 25, 2025 – May 24, 2025
An open-source, minimalistic multiplayer game built with Unity3D for Android, Linux, and Web Browser. Players battle on a dynamically rotating platform, pushing and maneuvering to stay on while knocking opponents off. The last player standing wins.
View ProjectBrain-Tumor-Detection-MRI-using-YOLO-v3-Pytorch
October 25, 2023 – December 10, 2023
Brain Tumor Detection in MRI Images using YOLO v3 implemented in Pytorch
View ProjectBinGenetic
November 22, 2020 – April 17, 2025
This repository contains a simple python library to convert binary data to genetic codes and further genetic codes back to binary data.
View ProjectRotationWars
November 3, 2020 – February 27, 2025
A multiplayer indie game developed with the Unity3D game engine, where players compete on a rotating platform. They can push each other and maneuver to avoid being pushed off. The goal is to make opponents fall off the platform to claim victory.
View ProjectFileCrypt
June 10, 2020 – February 27, 2025
An opensource AES-128 bit encryption tool for android.
View ProjectCNN-Autoencoders
February 8, 2018 – July 4, 2021
Implementation of CNN based autoencoders for color images in tensorflow.
View ProjectShadowNetwork
December 14, 2017 – June 29, 2021
A new approach to train models based on LSTMs, GRUs, and other similar variants.
View ProjectCNN-Image-Classifier
March 18, 2017 – December 17, 2019
Classifying images from the [CIFAR-10 dataset](https://www.cs.toronto.edu/~kriz/cifar.html). The dataset consists of airplanes, dogs, cats, and other objects. Preprocess of the images, then training a convolutional neural network on all the samples. The images are normalized and the labels are one-hot encoded. You'll get to see the convolutional, max pooling, dropout, and fully connected layers. At the end, you'll get to see the neural network's predictions on the sample images.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, showcasing strong individual initiative and a passion for deep learning and game development. However, the lack of team projects or professional experience makes it difficult to assess cultural fit within a collaborative corporate environment. The diversity of projects (ML, RAG, game development, encryption) suggests a broad interest, but the target role is Data Scientist, which aligns well with the ML/RAG projects. The game development projects, while technically impressive, are less directly relevant to a Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.