Hi, I am Tanmay Das. I am currently studying Masters of Science in Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta with the technical interest area of Computer Systems and Software and the expected graduation date of August 2025. I am living in Atlanta, GA, US.
I worked at MathWorks as a Software Engineer in Test with the Cloud Platform Integrations team from July 2021 till July 2023. My contributions had been majorly on two fronts
MathWorks Reference Architectures are Infrastructure as a Code(IaC) Templates that allow users to deploy resources in Cloud platforms to be able to use MathWorks products in the cloud. I had actively contributed to ensure the quality of MathWorks Reference Architectures. I had closely worked on Cloud platforms like AWS and Azure and their SDK packages in Python to write integration tests for the reference architectures. Here, I used GitLab SCM and Perforce Helix for Version Control.
Please note that the contribution in the GitHub repositories may not reflective of my efforts because a significant part of the codebase is maintained in MathWorks Internal Server.
unittest | boto3 | azure-sdk-for-python | testinfra
MATLAB Integration with Jupyter allows the users to run MATLAB code in a Jupyter environment or launch MATLAB in a web browser. I had contributions in matlab-proxy and jupyter-matlab-proxy repositories to enhance the test infrastructure. I also implemented a UI feature to choose MATLAB version while launching MATLAB in a web-browser. I used Git for Version control and GitHub Actions as the CI/CD system.
I did my Bachelor Thesis Dissertation under the supervision of Dr. Ashish Ranjan Hota in the Department of Electrical Engineering, IIT Kharagpur on the topic of "Data-driven Inference and Forecasting of Epidemics on Networks: A Case Study of COVID-19 in India". We investigated SIR epidemics on networks for Covid-19 cases in India, where a susceptible (S) individual who gets infected (I) by the virus, once recovered (R), is immune and causes no further spread of the infection. We selected the Indian states and Union Territories as nodes and developed a least square model to infer the actual cases and predict the future ones. Asymptomatic cases throw off estimates, since these individuals are less likely to undergo testing. This is the primary reason that testing data is not representative of the true state of the epidemic. We developed a Bayesian framework that inferred the true epidemic state given this constraint. Due to the unavailability of a vaccine, we discussed optimal non-pharmaceutical intervention (NPI) strategies, like lockdowns or travel restrictions, for closed-loop control of the spread of the virus.
Moreover, I also contributed to some of the paper presentations and literature reviews during my coursework in Social Computing, NLP etc. and was involved in term projects in Artifical Intelligence, High Performance Parallel Computing etc.
I am studying Masters of Science in Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta (US) with the technical interest area of Computer Systems and Software and the expected graduation date of August 2025. I did my Bachelors in Engineering at the Indian Institute of Technology, Kharagpur with major in Instrumentation Engineering and a minor in Computer Science and Engineering. I graduated with a cummulative GPA of 9.03. Moreover, I did my high schooling at Delhi Public School, Dhanbad with Intermediate in Science and passed with a 93.4%.
Ongoing
- Introduction to Computer Security
- Advanced Malware Analysis
- Critical Infrastructure Security and Resilience
- Computer Communication Networks
Completed
None
Programming: Data Sructure and Algorithms, Computer Networks, Computer Architecture & Operating Systems, High Performance Parallel Computing
Data Science: Data Analytics, Machine Learning, Statistics, NLP, Social Computing, Artificial Intelligence
Mathematics: Probability and Stochastic Processes, Estimation of Signals and Systems, Transform Calculus
