Optimizing Schedules for Sustainable Irrigation (May 23-Present)Guide: Prof. Priya Jadhav | Centre for Technology Alternatives for Rural Areas, IIT Bombay• Developed an optimization algorithm utilizing real-world data gathered from rural farmers that schedulespumping times to alleviate transformer overloading, and prevent power failures and under voltage• Ensuring efficient load distribution, minimizing energy waste, and improving access to irrigationby leveraging concepts of soil moisture retention, farmer feedback, and uniform loading• The developed algorithm is undergoing real-world testing in collaboration with the Maharashtra Project on Climate Resilient Agriculture (PoCRA), with plans for a subsequent public release across 5000+ villages, driving positive change and sustainable development

An all-student team of 39 members that works on building a robust and highly modular autonomous rover focused on traversing through the rough terrain of Mars and implementing important tasks on Martian Surface.Accolades− Awarded the Best Navigation Award in the Remote Navigation Task category among 28 internationalteams in European Rover Challenge (ERC), 2022 [August 22]− Stood 5th in the Indian Rover Design Challenge (IRDC), 2022 among 24+ teams from 7 countries.• Electrical and Software Subsystem Trainee [March '22 - July '22]− Designed a URDF (Unified Robotics Description Format) robot and spawned it in a Gazebo world− Implemented ROS nodes for ARUCO marker detection for autonomous transversal and pose detection− Written a script to interface DC motors with a joystick by subscribing to a ROS/joy topic• Software Mini-Project− Set up two-sided communication between the onboard raspberry pi of the Mini-Rover designed bythe mechanical subdivision of the team and base station using specific IP configurations for each device− Successfully tested and controlled a team-built Mini-rover using ROS commands• Junior Design Engineer | Autonomous Subdivision [July '22 - Present]− Building a custom drone to assist the Rover in carrying out numerous tasks to maximize efficiency− Implementing Autonomous drone traversal using GNSS sensor, Arrow detector and Obstacle detector− Formulated a Science Plan for a hypothetical Mars Rover Mission to the Martian Polar Ice Caps tocarry out life detection experiments, biological analysis of soil samples, collection and analysis ofbioaerosols and climate analysis as a part of the IRDC 2022 Competition− Designed custom Gazebo worlds using Blender for testing and simulation of autonomous traversal of rover

The focus is on developing an advanced simulation framework to study the movement and interactions of proteins within cells. Leveraging mathematical modeling, statistical analysis, and programming skills, I have made significant progress in implementing the Gillespie algorithm for simulating 2-dimensional reaction-diffusion systems.Project Highlights:- Demonstrated proficiency in the Gillespie algorithm by reproducing results from the seminal Gillespie Paper (1977) in MATLAB.-Acquired in-depth knowledge of biochemical oscillators and the underlying principles governing protein movement and reactions by studying relevant research papers.-Utilized XPPAUT software to numerically solve and perform bifurcation analysis on the differential equations describing the reaction systems.- Expanded the Gillespie algorithm to incorporate diffusion in a compartment-based approach, enabling the simulation of realistic reaction-diffusion systems within cells.- Developed a flexible simulation framework capable of modeling complex chemical reactions in a 2-D lattice, representing cellular compartments.- Successfully simulated a 10x10 and then a 50x50 grid system with multiple chemical species and reactions, including diffusion.- Scaled up the model by incorporating a realistic cell model with a nucleus, organelles, and localized reaction systems, feedback loops, and transport phenomena.