I've spent my career building systems that scale — sometimes even as planned. At Careem (Uber Inc.), I led the architecture for Data & AI, building platforms for machine learning, experimentation, and event processing that supported operations at scale. Before that, I served as Head of Data Science at AirAsia, where I worked to make data-driven decisions more accessible across the organization. At Grab, Southeast Asia's superapp, I worked on experimentation platforms and was the architect for transport and driver experience, helping millions of rides happen more efficiently. My Ph.D. from Trinity College Dublin & IBM Research focused on debugging parallel systems and visualizing performance problems — a mix of computer science and psychology that taught me patience (and the limits of it). Earlier in my career, I worked on everything from autonomous helicopters to particle simulators, building systems that were occasionally more reliable than their creators.

🚀 Distributed Systems I have designed and open-sourced

• emitter-io/emitter - high performance, distributed and low latency publish-subscribe platform
• kelindar/talaria - distributed, highly available, and low latency time-series database for Presto

📦 Golang Libraries I made to help me in building software faster or explore a certain idea

• kelindar/async - concurrency patterns library using promises for Go
• kelindar/approx - probabilistic data structures (e.g. morris counting, count-min sketch, topk) in Go
• kelindar/binary - generic and fast binary serializer for Go
• kelindar/bitmap - zero-allocation dense bitmap index for Go
• kelindar/column - columnar in-memory db (structures-of-arrays) with querying and indexing in Go
• kelindar/folio - automatically create web-based CMS based on Go structs
• kelindar/goap - goal oriented action planning library in Go
• kelindar/intmap - fast uint32-to-uint32 hash map, about 20-50% faster than Go map
• kelindar/tile - 2D grid engine, built with data and cache friendly ways, includes pathfinding and observers
• kelindar/timeline - Scheduler of events for near real-time systems in Go
• kelindar/evolve - Go implementation of a binary genetic algorithm with random binary crossover & mutation
• kelindar/loader - Go library that allows for downloading things from a URL (http, s3, ...)
• kelindar/ecs - high-performance entity component system in pure Go
• kelindar/event - simple internal event bus for Go applications
• kelindar/lua - wrapper around LUA script executor for long-running scripts
• kelindar/tcp - simple TCP server in Go
• kelindar/process - Go library for process usage retrieval
• kelindar/search - Go library for embedded vector search and semantic embeddings with llama.cpp
• kelindar/simd - auto-vectorized SIMD math functions for Go
• kelindar/smutex - simple sharded mutual exclusion in Go
• kelindar/xxrand - XXH3-Based Pseudorandom Number Generator
• kelindar/iostream - Simple binary reader and writer for io.Reader/io.Writer streams
• kelindar/simplex - Simplex noise in Go
• emitter-io/address - Go library providing a set of utilities for dealing with network addressing
• emitter-io/stats - high-performance library for stats and metric aggregation
• emitter-io/config - library for hierarchical config management

🧪 Experiments in which I tried with various ideas

• kelindar/bert - wrapper for bert.cpp library in Go, using dynamic linking
• kelindar/gocc - tool to transpile C to Go assembly using clang & objdump
• kelindar/hashbench - benchmarking various hash functions in Go
• kelindar/etop - command-line utility for emitter.io cluster status
• kelindar/spiral - procedurally generating a spiral galaxy in Go
• kelindar/markov - experimenting with markov-chain procgen in Go
• kelindar/pmml2lua - trying to convert PMML decision trees into LUA code
• kelindar/spike-box - what if we can data-bind js/DOM transparently over the network?
• kelindar/misakai-baker - static site generator for C# / .Net people
• manycore/dashboard - profiling your parallelized app by categorizing issues and visually browsing them
• manycore/matmul - matrix multiplication benchmark suite for parallel performance measurement
• manycore/harvester - operating system and hardware performance counter collector utility

🎨 Emitter Demos I have prepared for the project

• chat - building a chat with emitter
• actor - distributed actor model with emitter
• client-server - how to create a client/server application with emitter
• platformer - making an online platformer with emitter
• retain - how to use message retention in emitter
• share - how to use shared subscriptions in emitter
• iss - tracking international space station in real-time
• presence - demo of the channel presence for emitter

📚 Blogs & Papers I have written in the past

• Technical Blog - My random blog posts around experimentation, performance and open source
• Ph.D Thesis - Supporting visual diagnosis of performance problems in multi-core and parallel software
• SIGCHI'14 Paper - Design considerations for parallel performance tools
• IEEE Journal Paper - Parallel Performance Problems on Shared-Memory Multicore Systems: Taxonomy and Observation