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Rahul Singh Maraskole - Senior Lead Protocol Engineer specializing in zk systems and rollup infrastructure

Rahul BaseRahul Reveal
Senior Lead Protocol Engineer
RAHUL
SINGH
MARASKOLE
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ZK Infrastructure & Rollup Sequencer Systems.
Building trustless computation at the intersection
of cryptography and high-throughput execution.

→ Let's Talk
India · Remote
ZK-SNARKsGroth16Halo2zkEVMRollup SequencerCosmos SDKMEV FairnessPlonky2GolangRecursive ProofsIVCGeth InternalsZK-SNARKsGroth16Halo2zkEVMRollup SequencerCosmos SDKMEV FairnessPlonky2GolangRecursive ProofsIVCGeth Internals
About
6+ Years
Proving the
Impossible

Protocol engineer at the bleeding edge of ZK systems — where EVM execution meets trustless settlement. Started building multi-chain node infrastructure in 2019, moved into deep cryptographic protocol work, and never looked back.

Reduced on-chain verification costs by 40% through batch circuit optimization. Expanded provable EVM transaction coverage to 95%+ of mainnet operations. Currently researching decentralized sequencer sets with MEV-fair ordering and atomic cross-rollup composability.

40%
Gas Reduction
95%+
EVM Coverage
100+
Networks
Experience
Oct 2022
—
Present
Airchains
Senior Lead Protocol Engineer · Remote
Architected end-to-end ZK verification infrastructure processing 50,000+ daily transactions — reduced cross-chain finality latency by ~35%.
Engineered Groth16 zk-SNARK modules; achieved 40% reduction in on-chain gas costs through multi-transaction batch proving and circuit optimization.
Designed opcode-level execution trace validation enabling trustless state transition proving for arbitrary EVM smart contracts — 95%+ mainnet coverage.
Built batch proving pipelines aggregating 500+ transaction proofs into single on-chain submissions, cutting proof-generation latency by ~30%.
Led cryptographic R&D across 4 engineers — drove 3 major protocol version upgrades.
01
Feb 2019
—
Sept 2022
Retcons Technology
Lead Blockchain Developer
Implemented on-chain ZK proof verification modules across multiple EVM-compatible chains for trustless off-chain computation validation.
Integrated ZK verifier contracts into production DApp backends, reducing trust assumptions in multi-party workflows.
Designed and maintained high-availability blockchain node infrastructure across Ethereum, BSC, and Polygon.
Built chain monitoring and alerting systems — reduced incident response time by ~40%.
02
Skills
Cryptography
01
zk-SNARKsGroth16Halo2Plonky2BLS12-381BN254ECDSA in-circuitCircuit Optimization
ZK Provers
02
zkEVM ArchitectureOpcode-level ProvingExecution Trace ValidationgnarkcircomSnarkJSRecursive SNARKsIVC
Blockchain
03
Rollup SequencersCosmos SDKEthermintGeth InternalsEVM ExecutionMEVShared Sequencing
Languages
04
GolangRustTypeScriptSolidityC++Python
Infrastructure
05
Distributed SystemsHigh-throughput IndexingModular ExecutionState Transition ProofsCross-chain Settlement
Selected Works
High-Fidelity zkEVM Prover
→
Recursive Proof Aggregation
→
Cosmos ZK-Settlement
→
zkML Inference Verifier
→
001
↓ 40% Gas Cost

Production-grade zkEVM prover with comprehensive EVM opcode coverage enabling fully trustless execution of complex smart contracts. Integrated ECDSA signature verification & multi-transaction batching.

Groth16GolangEVM Opcodes
Active Research
01

Decentralized Sequencing & MEV

Designing a permissionless sequencer rotation protocol combining threshold encryption (TPKE) with commit-reveal ordering — cryptographically enforceable transaction fairness without sacrificing liveness or cross-rollup atomicity.

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02

Folding Schemes & IVC

Exploring how folding schemes (Nova, HyperNova, ProtoStar) can replace conventional recursion in rollup stacks — targeting amortized per-transaction proof costs that scale sub-linearly, making always-on L3 execution economically viable.

∞
03

zkML & Verifiable Inference

Investigating lookup-argument optimizations (Lasso, Jolt) and custom arithmetic encodings to close the 100× overhead gap between zkML and plain inference — targeting quantized transformer-class models for DeFi risk and intent resolution.

⬡
04

Hardware Acceleration

Benchmarking MSM and NTT performance across GPU and FPGA backends — designing circuit architectures that expose more parallelism. Targeting Plonky2 and Halo2 pipelines where memory bandwidth, not compute, is the binding constraint.

⚡
INITIATING SECURE HANDSHAKERESOLVING INTENTSPROVING STATE TRANSITIONSINITIATING SECURE HANDSHAKERESOLVING INTENTSPROVING STATE TRANSITIONS

READY TO
PROVE IT?

RSM050501@GMAIL.COM ↗