Rahul Muttineni
Founder at Stealth AI Startup
Randstad, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolRahul Muttineni is a founder and systems-minded software engineer with 11 years of experience building high-performance, correctness-focused infrastructure and language tooling. He created Eta, a Haskell dialect on the JVM with ~3k GitHub stars, and has leveraged that deep language and runtime expertise across roles from CTO to staff engineer. Rahul specializes in performance engineering, developer experience, and reproducible observability, having led migrations to self-hosted stacks, saved $1M+ in AWS costs, and scaled services to tens of thousands of DAUs. More recently he’s been building Rust-based trading DSLs that compile to WebAssembly, deterministic backtesting platforms, and AI-driven strategy discovery — combining spec-driven development with agent orchestration to prioritize speed and correctness. Colocated in the Randstad, he ramps quickly into new domains and consistently shares learnings through open-source contributions and conference talks.
11 years of coding experience
10 years of employment as a software developer
Dropout - Bachelor of Technology (BTech), Mathematics and Computer Science, Dropout - Bachelor of Technology (BTech), Mathematics and Computer Science at Indian Institute of Technology, Guwahati
English
Stackoverflow
446reputation
21kreached
3answers
0questions
Github Skills (11)
javas10
code-generation10
jvm10
haskell10
ffi10
java10
ff10
build-system8
jvm-languages6
jvmti6
frege6
Programming languages (20)
Github contributions (5)
typelead/eta
Apr 2016 - Jul 2019
The Eta Programming Language, a dialect of Haskell on the JVM
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 1727 commits, 181 PRs in 3 years 3 months
Contributions summary:Rahul contributed significantly to the Eta programming language on the JVM, specifically focusing on the implementation of language features and the integration with Java. Their work included adding features like "-no-shutdown" and the generation of static initializers and also involved significant modifications to the Java FFI. Furthermore, the user worked on performance improvements, such as reducing the size of JAR files and optimizing code generation related to primitive types.
dialectfunctional-programmingetahaskelljvm
typelead/eta-benchmarks
Apr 2017 - Feb 2019
A set of benchmarks to aid in performance optimisation for the Eta compiler.
Contributions:119 commits, 23 PRs, 75 pushes in 1 year 9 months
benchmarkingetabenchmarkperformanceaid
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