With over 5 years of experience in advanced programming, I have a proven track record of delivering substantial performance gains. By harnessing the parallel processing power of NVIDIA GPUs, I can optimize code to execute up to 20x faster than on CPUs alone.

My CUDA expertise has enabled me to accelerate key workloads. For example, in a recent project I used CUDA to parallelize a pixel sorting algorithm written in C. By efficiently mapping image data across thousands of GPU cores, I reduced processing times from several minutes to under 10 seconds. The optimized CUDA kernel cut costs and improved the user experience.

As a strong developer, I can identify bottlenecks in your pipeline and apply parallel programming techniques to overcome them. My CUDA proficiency can slash processing times, reduce costs, and improve product performance. If you're looking for someone to unify the power of your GPUs and spark innovation, I have the parallel programming skills to rapidly accelerate your business.

Image Source: https://www.nvidia.com/en-us/data-center/grace-cpu/

With experience using Ghidra for software reverse engineering, I have developed robust skills in analyzing executable files and disassembling code. I have leveraged Ghidra's disassembler and decompiler to gain deep insights into proprietary software and malware.

In addition to software reversing, I have expertise applying Ghidra for digital forensic investigations. My background disassembling binaries, inspecting memory, and statically analyzing code with Ghidra allows me to support a wide range of cybersecurity use cases. I enjoy tackling complex reverse engineering challenges, and look forward to applying my Ghidra skills to unlock insights from compiled programs and binaries.

Although early in my career, I have demonstrated skills optimizing code for parallelism and also showcased my deep understanding of computer systems.

With over 2 years of experience building interactive 3D data visualizations using JavaScript, I have honed my skills in creating engaging, dynamic representations of complex information. Most recently, I developed a React-based application for exploring multivariate data in 3D scatter plots. By leveraging WebGL and the three.js library, I was able to render performant 3D visuals that users could pan, zoom, and rotate fluidly. Click events and hover interactivity brought the data to life. Using Deck.gl for adjustable parameters, users could dynamically filter the data points and transform the graphs in real time. My background developing immersive 3D data visualization experiences allows me to make data insights accessible and intuitive through interactivity. I enjoy crafting novel ways of representing information in interactive 3D, and am excited to continue innovating in data visualization.

With the advent of quantum computing on the horizon, organizations must start preparing for the cryptographic upheaval it will bring. Quantum computers will render many standard public-key cryptosystems like RSA and elliptic curves insecure. To future-proof encryption, companies should begin migrating to quantum-safe algorithms resistant to attack by both classical and quantum algorithms.

The most promising post-quantum public-key candidates are lattice-based and multivariate cryptosystems. In particular, lattice schemes like NTRU have efficiently implementable key exchange and digital signatures ideal for TLS and authentication. Code-based cryptography like McEliece offers an alternative approach using error-correcting codes. On the symmetric side, algorithms with security proofs against quantum queries like AES-256 will likely remain viable. To ease the transition, hybrid schemes are emerging which run post-quantum crypto alongside traditional public-key. By incrementally adding support for algorithms like CRYSTALS-Kyber and SIKE, organizations can guard their systems against quantum threats. With prudent preparation, we can work to ensure sensitive data remains secure even in a world of quantum advantage.