- Instruct students on assembly language programming, focusing on instruction decoding and advanced assembly concepts.- Guide students through interfacing with GPIO, managing interrupts, and utilizing timers and DMA in embedded systems.- Facilitate labs involving peripherals such as DACs, ADCs, and UARTs for serial communication.- Mentor students in designing and implementing a full single-cycle simulator, including control logic and data path development.

- Tutor students in circuit analysis, including general circuit elements, Kirchhoff's laws, and resistor combinations.- Explain FET devices, OpAmp operation, and common amplifier configurations.- Guide students through Laplace Transform techniques and convolution for circuit modeling.- Assist with the design and analysis of passive and active filters.

- Assisted 200+ students in mastering C programming, focusing on data structures, memory management, and debugging.- Supported debugging with GDB and memory fault diagnosis using Valgrind.- Provided guidance on test-driven development, unit testing, and sorting algorithms like qsort.- Helped students understand security concepts like buffer overflow attacks.

- Presented research at the Purdue Research Symposium, showcasing a novel approach to NPC weather preference scores that simulate realistic human-like reactions in response to dynamic weather environments.- Contributed to a research project under Prof. Dave Barbarash, simulating human behavior in a virtual environment, integrating environmental systems, and utilizing weather data to enhance NPC interaction realism. The project received recognition at the Council for Educators in Landscape Architecture (CELA) 2024 conference, where representatives from top institutions expressed interest in our work.- Develop and optimize NPC dynamic adaptation for Unreal Engine 5+, focusing on behavior-driven responses to weather conditions and lighting transitions.- Implement prioritization filters and behavior trees, including Object Priority Queue and BTUtility Plugin, for NPC goal prioritization, event handling, and decision-making processes.

- Analyzed 1800 samples for image classification, achieving over 95% accuracy on standard datasets.- Developed and executed machine learning models, including Gaussian Naive Bayes, KNN, and MLP.- Achieved 81.46% accuracy with Gaussian Naive Bayes on poisoned data.- Conducted extensive testing, highlighting KNN's strong performance and Gaussian Naive Bayes' 3% accuracy drop on poisoned data.

- Designed and developed a System Verilog drum machine with clock division, input scanning, and real-time user sequence editing.- Integrated multiple System Verilog modules for FPGA synthesis and speaker testing.- Visualized and optimized module interactions using RTL diagrams.- Conducted signal flow optimization for FPGA-based synthesis and speaker output.

- Collaborated on AI chatbot development and reported project updates to the software engineering team.- Spearheaded the development of an AI chatbot, focusing on providing medical AI-driven responses primarily with SQL, and participated in website development using PHP.- Engaged in startup culture through meetings with high-level executives, gaining global business insights.