Aman Sahani
Multi-Disciplinary Systems & Engineering Research

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A System Engineer's journey through AI, machine learning, and innovative software development.

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Artificial Intelligence and Machine Learning

SPOTLIGHT PUBLICATION

Stop Using Large Language Models for If-Else Statements: A Comparative Benchmark of TypeSafe Jev, Laya, and OpenAI

Aman Sahani• 9 min read

Stop Using Large Language Models for If-Else Statements: A Comparative Benchmark of TypeSafe Jev, Laya, and OpenAI

Generative LLMs waste 1,500–4,500ms and substantial token budgets on discrete decisions. System 1 decision engines like TypeSafe Jev and open-source Laya deliver sub-100ms inference, 0% hallucination risk, and mathematically calibrated probability distributions at up to 18.8x lower cost.

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About Aman Sahani

System Engineer specializing in AI runtime optimization, low-latency microservices, and cross-disciplinary research. I bridge formal mathematical theorems, systems programming, and high-throughput cloud infrastructure to create resilient software engines.

Recent Technical Articles

Latest peer-level writings & architectures

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Engineered Systems & Projects

Production services, compilers, and performance tools

QuantStream: Real-Time Blockchain Mempool Telemetry & EVM Block Builder Engine

Production-grade, distributed real-time blockchain telemetry and block execution engine in Rust with PyTorch training pipeline and Lambda Architecture (sub-millisecond Hot Path AI inference and durable Cold Path persistence).

Custom CUDA & Triton GPU Kernels

High-performance CUDA C++ and Triton JIT kernels for accelerated non-autoregressive decision models, FlashAttention, and zero-allocation memory pooling.

Zero-Allocation Go Microservices

High-concurrency web service engine built on Fiber/fasthttp with memory buffer pooling, lock-free SPMC channels, and OCI cloud deployment.