Contributing to the metadata and data indexing system powering the Search Data feature.

• Redesigned and reimplemented key parts of the data indexing stack, introducing major changes across multiple microservices. This improved Elasticsearch utilization by 4x, significantly reducing infrastructure costs, enabling much higher scale, and allowing full production rollout without cost overruns.
• Currently working on another not-yet-announced feature and further scale improvements to the metadata system.

Contributed to the metadata and data indexing system powering the Search Data feature.

• Optimized the metadata indexing process to be parallel and incremental, cutting worst-case time from 2 minutes to 30 seconds and reducing average time to under 1 second.
• Designed and implemented infrastructure to deploy and autoscale per-region Elasticsearch clusters used for data indexing, removing the need for manual management of the clusters.
• Implemented multiple performance enhancements to the data indexing system, including dynamic, usage-based connection pooling instead of fixed-size pools.

Interdisciplinary research project combining Electronics (FPGA) and Computer Science (Compilers).

• Implemented a parameterized Fast Fourier Transform algorithm for FPGAs using a new high level synthesis framework using only functional primitives in Scala like Map, Reduce, Fold.
• Optimized and synthesized the design from the generated VHDL code with different number of inputs having different bit-widths and achieved 90%+ throughput on Intel Arria 10 FPGA.
• Used the general FFT, element-wise multiplication and inverse-FFT to implement a fast 2D convolution pipeline for use in Convolutional Neural Networks on FPGA.

Worked on improvements to the simpPRU language used for real time compute.

• Fixed bugs with the language grammar and wrote the lexer, parser, and code generator for new language features such as a char/uint8 data type, new for-loop, and static arrays to the transpiler written in C using flex and bison.
• Created an automated test suite for simpPRU, a statically typed, compiled language that transpiles down to PRU C, running on Texas Instrument's AM335x PRU (Programmable Real Time Unit).
• Improved communication capabilities between the host Linux CPU and the PRU in simpPRU by adding the ability to send arrays to the host CPU using Linux kernel's remoteproc framework and rpmsg.