First and foremost, I’m a Christian, a follower of Christ. I believe that in Christ, there is forgiveness of sins and a path to live life the way our Creator intended.

You can reach me at: yimmanuel3@gatech.edu

Mathematics

I enjoy mathematics a lot. I’ve made it my goal to finish Feynman’s lectures in the next couple years. So far, I’ve only made it through part of the first lecture on Quantum Mechanics, mainly due to lack of time.

Filming

I own a RED ONE MX camera. Some notable films were shot on the RED ONE MX such as Avengers: Age of Ultron. I film fairly regularly and try to optimize for good lighting, capivating colors, solid technical color grades, good sound, and compelling stories. I think this is my best work so far.

Things I’ve Worked on and or Am Working On

ICanBuildIt.io: Online Platform With IDE for learning how to build compilers, CPU emulators, and kernels with hands on tutorials(2024–Present)

• ~40 waitlist sign-ups so far
• Rust Backend + Elm(Haskell-like) Frontend
• Custom container orchestration solution witten in Rust

FastWave: High-Performance VCD Parser (2022)

• Wrote the fastest(at time of release) open-source VCD parser in Rust, processing >100MB/s, powering early versions of Surfer waveform viewer.

RISC-V Formal Model (2024–Present)

• Building a formal RISC-V ISA model in Clash Haskell, iteratively porting to Bluespec for simulation and verification.

Haskellator: Yosys RTLIL Parser (2024 - Present)

• Built a Haskell-based parser for Yosys RTLIL, enabling downstream tool integration for digital logic synthesis.

NLNet FastWave 2.0 Grant: Logic Visualization Tools (2024)

• Secured €50,000 to fund next-generation digital logic visualization, managing project scope and contractors.
• Impact: Gained experience in open-source hardware innovation, despite contractor challenges.

Chip11: PowerPC Processor (2020–2021)

• Led design of a PowerPC CPU in SpinalHDL at ChipEleven, optimizing a 900-opcode decoder from 5 to 3 stages (1.5x speed increase).

Hiring Me

I’m interested in working on with teams on anything mentioned in any of my posts. Of particular interest to me is CPU micro-architecture, GPU-architecture, AI accelerator micro-architecture, and compiler design. I’m also interested in working on applying graph neural networks + RL to compiler optimization passes.