Contextual Robotics Institute and Qualcomm

• High Speed Visual SLAM for autonomous driving

CSE 100/R: Advanced Data Structures (Dr. Niema Moshiri and Dr. Debashis Sahoo)

• Tutored Data Structures and Algorithms in C++ for a class of 450+ students

• Vetted Programming Assignments and Final Exam, and held Lab Hours with a 100%+ satisfaction rating ‎ ‎ ‎ ‎ ‎ ‎ using the Socratic Method

• Helped students understand how to use GDB, gprof, and Valgrind (to investigate seg-faults and

memory leaks/errors)

• Addressed conceptual and implementation clarifications from data structure theory questions to

pointers to the difference between destructors and clear methods,

• Get students familiar with C++ conventions, syntax, and documentation

• Engage and guide students into reframing their knowledge to discover and understand Data Structure

properties from a first-principles approach for various applications via collaborative problem-solving

and question-probing in Discussion Section

Embedded Systems and Software Group/VLSI Design Lab

• 3D integrated circuits (CFET and other FET architectures) with gear ratio

• Develop Design Rule Algorithms and translated the current version from Perl to C++

Help UCSD first-year students from different majors and varying computer science backgrounds learn everything from Python to Machine Learning with lectures from CSE faculty and tutoring from CSE students, create a capstone project, survey CSE research at UC San Diego, and understand the transition to college life at UCSD

• Clarified questions from other mentors about Algorithmic Problem Solving (APS) sets and

‎ ‎ ‎ aided students in APS Assistance Hours

‎ ‎ ‎‎ ‎ - Sorting, Greedy Algorithms, Divide and Conquer, Dynamic Programming

• Worked with 50+ students to answer Foundations of CS (FoCS) and capstone project questions

‎ ‎ ‎ during Lab Hours

‎ ‎ ‎ ‎ - Replit, Github, PicoBot Automata-based programming, Object-Oriented Python and turtle ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ programming ,‎ Recursion, PIL Image Manipulation, PyGame Game Development, Flask Web ‎ ‎‎ ‎‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Development, Machine Learning and hyperparameter tuning

• Worked with Instructors to improve content

• Provided feedback and addressed follow-ups to a group of students on their labs, APS sets, and

‎ ‎ Enrichment Videos

• Co-hosted speaker panel and facilitated speaker-audience interaction for a research presentation

• Coordinated ideas for Discord Bot integration and community-building activities with fellow Mentors

• Researched Martian chemicals, geology, and caves for ISRU objectives productive for human

habitation via powered flight

• Architected Software and conducted Systems Design Preliminary Design Review, with positive feedback from NASA Chief Engineer

• Developed Hardness Reductions as Iteration Test Cases to transform final abstract goal into actionable

items

• Created containerized SITL (Software in the Loop) Testing with Docker and documentation

• Wrote code for:

• empirical semi-autonomous power characterization for the Jetson Nano Orin and MavSDK

• telemetry

• Iteration Test Cases

• Proposed flight navigation and control algorithms:

• (sensor-fusion/v)SLAM, Learning-based Model Predictive Control, PID, RRT, PRM, Voronoi Shattering