Resume - Aniket Sharma

Education

M. Sc. - Computing Science

University of Alberta

2023-2025

Courses:

- Theoretical Foundation of Machine Learning

- Introduction to Reinforcement Learning

B. Tech. - Computer Science and Engineering

Indian Institute of Information Technology, Gwalior

2019-2023

CGPA: 8.12

Courses:

- Artificial Intelligence	- Machine Learning
- Probability and Statistics	- Analysis and Design of Algorithms
- Data Structures	- Data Mining and Data Warehouse

Experience

Research Intern

University of Alberta

01/2023 - 07/2023

Implemented various bias mitigation techniques and experimented on these implementations
Performed an extensive bibliographic search into bias mitigation techniques and prior works in AI in Education (AIEd) tools
Evaluated various fairness metrics on the publicly available datasets for AIEd

Programming Languages:

- Python

Skills:

- Fairness in AI and ML	- Generative AI
- Attention Networks	- Adversarial Learning
- Bayesian methods

Technologies:

- Tensorflow

- PyTorch

Undergraduate Student Researcher

Computational Intelligence and Data Mining Research Lab - IIIT Gwalior

08/2021 - 06/2023

Designed and implemented a simulation of human episodic memory with Prof. Pramod Kumar Singh and Dr. Jay Prakash (accepted in ICAAI 2022)
Extracted features from wikiHow articles and developed models to estimate the quality of the articles (accepted in IATMSI 2022)
Developed a web crawler to fetch data from wikiHow
Devised a data-centric approach in order to improve the performance of machine learning models predicting HCV severity by approx. 16% (accepted in ISDA 2021)

Programming Languages:

- Python

Skills:

- Research Methodology	- Artificial Intelligence
- Data Mining	- Deep Learning
- Machine Learning

Technologies:

- Tensorflow

Application Engineering Intern

Google

05/2022 - 07/2022

Worked on creation of incremental data integration pipelines from Salesforce to a weakly consistent global file system
Created dashboards to provide key security and privacy insights about Salesforce footprints across Alphabet to the leadership and stakeholders
Setup JWT authentication for the pipeline project

Programming Languages:

- Python

Skills:

- Data Analysis

- Problem Solving

Technologies:

- SQL

- Many Google internal tools

Artificial Intelligence Intern

Kinematic Foodtech

05/2021 - 09/2021 & 12/2021 - 01/2022

Created from scratch a Vehicle Routing Tool for managing delivery fleet and reducing company's logistic costs
Used K-means with automated elbow method for dynamic delivery hub location
Hosted the routing tool using AWS Fargate and AWS Lambda

Programming Languages:

- Python

- JavaScript

Skills:

- Artificial Intelligence	- Operations Research
- Machine Learning	- DevOps

Technologies:

- Google OR Tools	- Openrouteservice
- AWS Fargate	- AWS Lambda
- Docker

Software Developer Intern

cppsecrets.com

09/2020 - 11/2020

Created US Election 2020 Prediction Model using Sentiment Analysis
Tested various projects including Fingerprint Recognition Model, Motion Detection Model and more
Created a YouTube Scrapper using Python selenium
Wrote 50 tech articles on topics including Machine Learning and Data Science

Programming Languages:

- Python

Skills:

- Machine Learning

- Data Analysis

Technologies:

- OpenCV

Publications

Conference Proceedings

A. Arora, A. Sharma and P. K. Singh, "Automated Quality Estimation of Collaboratively Created Content," 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India, 2022, pp. 1-6, doi: 10.1109/IATMSI56455.2022.10119314.

Aniket Sharma, Pramod Kumar Singh, and Jay Prakash. 2023. An Effective Implementation of Detection and Retrieval Property of Episodic Memory. In 2022 The 6th International Conference on Advances in Artificial Intelligence (ICAAI2022). Association for Computing Machinery, New York, NY, USA, 147–153. https://doi.org/10.1145/3571560.3571582

Sharma, A., Arora, A., Gupta, A., Singh, P.K. (2022). Data-Centric Approach to Hepatitis C Virus Severity Prediction. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_39