This was a really fun challenge where I built a robotic mechanism inspired by a crocodile! I used a Raspberry Pi, servo motors, and relied heavily on FDM 3D printing for the parts. I focused on making the design super efficient by applying DFM (Design for Manufacturing) and Lean principles, which helped me cut the total print time by 14%. I coded the automated movements in Python and used SolidWorks/Ansys (FEA) to make sure the parts were strong, lightweight, and producible. 

I led a groundbreaking project in digital food printing using 3D technology to create complex, multi-material edible structures. I utilized G-code programming and meticulous calibration (Z-axis, extrusion rates) to successfully refine the printing process for challenging materials like pancake mix and cream cheese. We printed intricate designs (twisted pyramids, spirals) while overcoming technical challenges, significantly advancing the practical understanding of digital food manufacturing. 

Developed a specialized software tool that generates precise, laser-cutting-ready SVG files from user-defined dimensions and parameters. I engineered this solution to streamline the entire Design-to-Prototype workflow, significantly enhancing efficiency and precision in digital fabrication. The tool incorporates DFM principles and adjustable parameters to ensure structural integrity and material compatibility for designers.

Developed a cutting-edge Evolutionary Algorithm utilizing mutation and crossover techniques to dramatically improve the walking capabilities of soft robots. I engineered a Custom Physics Engine for realistic simulation and integrated Google Cloud Platform (GCP) to efficiently scale over 100,000 iterations. This work successfully reached a speed milestone of 0.6 m/s, validating the entire computational platform.

I led a project to evaluate and optimize temperature sensor precision (RTD and BME280) by designing Wheatstone bridge circuits and conducting extensive testing. I applied innovative calibration techniques to account for resistance, achieving high linearity ($R^2 \approx 1$), and analyzed metrics like SNR to optimize signal processing. This work significantly enhanced overall system performance and reduced temperature measurement errors.

I led a technical project to rigorously characterize an on-board 12-bit Analog-to-Digital Converter (ADC), focusing on its noise floor, sensitivity, and SNR. I used Python scripts for automated data collection and analysis to calculate metrics like the Effective Number of Bits (ENOB). This work successfully derived a sensitivity greater than theoretical expectations and provided a clear foundation for future improvements in ADC technology.

I applied topology optimization using advanced simulation tools to reduce the weight of stainless steel furniture (desk and chair) while maintaining structural integrity (Factor of Safety of 1.5). I achieved a 30% weight reduction (e.g., desk weight cut from $1562.51 kg to $667.25 kg, streamlining the design workflow and contributing innovative solutions for sustainable manufacturing.

I pioneered the integration of digital manufacturing with traditional embroidery by developing programmable software to automatically generate complex, fractal-based patterns (e.g., Koch snowflake). I implemented algorithms and error correction methods to convert parametric designs into stitchable patterns, successfully enabling the real-world embroidery of complex garments and significantly advancing digital manufacturing techniques in textile arts.