Refactored Fixed Data Table 2 Resize and Reorder functionalities into plugins to make the React-JS based library modular, more customizable and maintainable.

Received PPO for the Member-Technical profile on the basis of excellent performance during the internship.

Implemented methods to perform gradient-based attack and adversary transfer on character-based Deep Neural Networks for malicious DGA generated domain names by emulating and inverting the non-differentiable embedding layer.

Used Iterative adversarial training to improve the robustness of the classifier using adversaries generated from the gradient based attacks.

Formulated the scheduling of a freight train in the german railway network as a satisfiability problem in propositional logic and implemented the solution using Z3 Solver.

Optimized the various steps of the problem formulation to reduce the problem blow-up from quadratic to linear and improved the feasibility of the approach in real-life railway network.