Associate Researcher

• Feb 2023 - Present

Project Intern

• Oct 2022 - Present

Design and develop E-Commerce and Finance based Machine Learning Models Tasks include: EDA, Data preprocessing /cleaning Feature Engineering, Model Selection Deployment of solution as an API on cloud. Design and develop E-Commerce and Finance based Machine Learning Models Tasks include: EDA, Data preprocessing /cleaning Feature Engineering, Model Selection Deployment of solution as an API on cloud.

Master Thesis Student

• Mar 2022 - Sep 2022

Thesis Topic: Deep Multi-Agent Reinforcement Learning Algorithms for Continuous Control under Lossy and Delaying Communication Conducted a simulative comparison of two different Multi-agent RL algorithms to understand their learning behavior and convergence rate under a lossy and delayed network. For the simulation, Open AI's MPE environment is used to understand cooperative and competitive behavior between agents. My work included understanding the state-of-the-art RL algorithms (single and multi-agent), implementation and tuning of both algorithms, and then final training and comparison of both.

Trainee

• Jun 2017 - Jul 2017

The 4 week training helped me to gain insights of Big Data and various Hadoop tools. The training also helped me to do my own projects under the same technology. The 4 week training helped me to gain insights of Big Data and various Hadoop tools. The training also helped me to do my own projects under the same technology.

Trainee

• Jun 2016 - Jul 2016

In my 4 weeks of training, I learned about the basics of telecommunication, gsm, CDMA and bts planning techniques. In my 4 weeks of training, I learned about the basics of telecommunication, gsm, CDMA and bts planning techniques.