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Hey, I'm Rahil, a Machine-Learning and AI enthusiast who loves building new models, for solving real-time issues.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Collaboration_and_Competition
April 25, 2020 – April 25, 2020
Implemented Multi Agent Deep Deterministic Policy Gradient(MADDPG) algorithm to solve the Unity Tennis environment.
View ProjectContinous-Control
March 30, 2020 – March 31, 2020
Implemented Deep Deterministic Policy Gradient(DDPG) algorithm to solve the Unity Reacher version-2 environment.
View ProjectPolicy-Based-Methods
January 26, 2020 – January 27, 2020
Implemented few of the policy based black box optimization techniques in Pytorch.
View ProjectNavigation
January 16, 2020 – December 8, 2022
Implemented Deep Q-Network(DQN) and its different variants in different environments.
View ProjectTeacher-Student-Network
September 21, 2019 – September 21, 2019
Built a Teacher-Student Network on CIFAR-100 dataset using Pytorch.
View ProjectCycleGAN-in-Pytorch
September 15, 2019 – September 15, 2019
Designed a CycleGAN model for image-to-image translation from unpaired training dataset using an unsupervised approach. The objective was to train generators that learn to transform an image from domain X into an image that looks like it came from domain Y (and vice versa).
View ProjectANN-Implementation-From-Scratch
September 14, 2019 – September 14, 2019
Built a Artificial Neural Network architecture from scratch to predict daily bike rental ridership.
View ProjectDog-Identification-App
September 14, 2019 – September 14, 2019
Developed an algorithm that could be used as part of a mobile or web app. The project accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.
View ProjectSentiment-Analysis-Deployment
September 14, 2019 – September 14, 2019
Sentiment-Analysis-Deployment — GitHub repository
View ProjectFace-Generator
August 25, 2019 – November 11, 2021
Defined and trained a DCGAN model on a dataset of faces. The goal was to get a generator network to generate new images of fake human faces that look as realistic as possible.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily concentrated on deep learning and reinforcement learning research/implementation. While this shows strong technical interest, there is no evidence of collaborative work, diverse project types beyond core ML research, or experience in a production environment. This narrow focus and lack of team-based projects might indicate a limited cultural fit for roles requiring broader engineering skills or significant collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong focus on individual technical implementation.