[05]Skills & experience· 20 tools
The tools, and where I picked them up.
Rated by how comfortably I would ship production work unsupervised, not by how many years I have typed the words.
Algorithms & theory
The mathematics the decoder is built on.
Design & verification
RTL through to a board that boots.
Silicon flow
Synthesis, place-and-route and memory macros.
Digital IC design91
Synthesis through P&R
Design Compiler88
Synopsys ASIC synthesis
Innovus86
Cadence place-and-route
Memory Compiler78
SRAM macro generation
Implementation
Languages and utilities for modelling and delivery.
C / C++90
Modeling, drivers, algorithms
CUDA C82
Algorithm simulation, bit-level
Python86
Automation, ML, data analysis
Java / Qt574
Tooling and GUIs
Matlab80
Numerical modelling
PostgreSQL / MySQL78
Database systems
Git / VS Code90
Daily workflow
LaTeX / Zotero92
Papers and references
Colours follow the stack
- Algorithm
- Architecture
- Silicon
Aug 2024 — May 2025
Research on decoding circuits for emerging computational paradigms
Nanjing University — School of Electronic Science and Engineering · Nanjing
Designed IC architectures for error-correcting decoders based on optical and compute-in-memory approaches.
- Engineered a recursive electro-optical decoder that processes LLR signals in the optical domain and keeps analog circuits only for decision-making.
- Achieved at least five orders of magnitude in energy efficiency over electronic counterparts, with power scaling linearly with codeword length.
- Published in IEEE JETCAS as first author; extended by granted patent CN202411864690.5.
Jun 2025 — Jun 2026
High-throughput LDPC decoder ASIC for NAND flash storage
Nanjing University — School of Electronic Science and Engineering · Nanjing
First-author work from a new decoding algorithm through to a working integrated circuit.
- Proposed the TTGDBF algorithm with two-bit strength and turbo decoding, accelerating convergence by 75.6% over the state of the art.
- Designed the parallel decoder architecture and completed a full ASIC implementation in TSMC 65nm CMOS using Synopsys DC and Cadence Innovus.
- Reached 15.87 Gbps at 0.992 mm², cutting hardware complexity 55.5% while holding FER below 1e-7.
- Published in IEEE Transactions on VLSI Systems as first author.
Mar 2023 — Sept 2023
Research assistant — blockchain, zero-knowledge proofs, Byzantine consensus
GIST Lab, Nanjing University · Nanjing
Supervised by Prof. Changhai Nie. Literature review and exploratory research on privacy-preserving and fault-tolerant ledgers.
- Investigated zk-SNARKs and zk-STARKs for blockchain privacy and scalability, supporting the lab’s quality-assurance work.
- Analysed Byzantine Fault Tolerance protocols and consensus mechanisms for decentralised ledgers.