Alon Reshef
AI ML Software Team Lead at Redis
Tel-Aviv District, Israel
Summary
🤩
Rockstar🎓
Top SchoolAlon Reshef is an AI/ML software team lead based in Tel Aviv with nine years of experience building production-grade back-end systems and Redis modules. At Redis he progressed from software engineer to leading AI/ML efforts, contributing notable open-source work on RediSearch’s vector similarity search and RedisAI’s DAG execution to improve query parsing, async inference and stability. His background in database systems (MSc/BSc, Technion) and hands-on contributions to RedisGraph show deep expertise in indexing, graph procedures and performance-sensitive systems. Earlier roles in military intelligence and defense research add a practical edge for security-conscious, high-reliability engineering. Colleagues rely on him for solving subtle hybrid-query bugs and shipping robust, low-level features that bridge ML workloads with real-time data platforms.
9 years of coding experience
4 years of employment as a software developer
MSC Computer Science Database systems, MSC Computer Science Database systems at Technion - Israel Institute of Technology
English, Hebrew
Github Skills (17)
asynchronous10
search-engine10
redis10
async10
c1110
graph-database10
c1710
graphdb10
query-parser10
cypher10
parse10
opencypher10
inverted-index9
memory-management9
python-modules9
Programming languages (7)
Github contributions (5)
RedisAI/redis-inference-optimization
Nov 2020 - Jun 2022
A Redis module for serving tensors and executing deep learning graphs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:247 reviews, 378 commits, 156 PRs in 1 year 6 months
Contributions summary:Alon's commits focused on enhancing the functionality of the deep learning graph execution within the RedisAI module. They implemented asynchronous execution of the DAG, modified the RunInfo structure, and refactored the DAG parsing process. They also addressed errors related to tensor loading and persistent keys, ensuring the stability and proper execution of the deep learning models within the module. Furthermore, the user updated the code base to use the latest versions of the Redis module.
pytorchredisservingserving-tensorsredis-module
RediSearch/RediSearch
Feb 2022 - Jan 2023
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 releases, 804 reviews, 78 commits in 11 months
Contributions summary:Alon primarily contributed to the development of the VSS (Vector Similarity Search) API within the Redisearch project. Their work focused on implementing and refining the query parser, including adding new parser tests and fixing bugs. They addressed issues related to deprecated APIs and implemented result processors for vector similarity queries. The user also made significant changes to the hybrid iterator, addressing a bug in hybrid queries that used the intersection iterator with a NOT iterator.
redis-modulefulltextindexingredis-searchtext-search
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