Multi-Disciplinary Systems & Engineering Research

Aman Sahani

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

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Artificial Intelligence and Machine Learning

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Fast, Deterministic Decisions at the Edge: Benchmarking TypeSafe Jev vs. GLiNER2.5-Decide on Indian Financial Markets

Aman Sahani• 15 min read

Fast, Deterministic Decisions at the Edge: Benchmarking TypeSafe Jev vs. GLiNER2.5-Decide on Indian Financial Markets

Traditional LLM prompt-and-parse pipelines introduce unacceptable latency (1,500–4,000ms) for high-frequency operational triage. We benchmark non-autoregressive decision models—Fastino's local 340M GLiNER2.5-Decide (50.6ms on CUDA, \$0.00 cost) and TypeSafe Jev (79.0% zero-shot accuracy at \$0.042/1M tokens)—across 500 real-world Indian financial news articles from Hugging Face, exploring GLiNER's advanced multi-head batching, zero-shot entity extraction, and LoRA hot-swapping.

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Recent Technical Articles

Latest peer-level writings & architectures

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Artificial Intelligence and Machine Learning9 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.

Sep 24, 2026Read

Physics10 min read

Simulating Chaotic Dynamical Systems & N-Body Orbits with Runge-Kutta Methods

Phase-space analysis, Lyapunov exponents, and numerical integration techniques for non-linear physical equations on ARM64.

Sep 13, 2026Read

Accounting9 min read

Computational Accounting: Immutable Double-Entry Ledgers and Merkle Proofs

Designing tamper-evident auditing systems, mathematical invariants in accounting equations, and verifiable journal entries.

Sep 13, 2026Read

8 Core Knowledge Disciplines

Specialized technical taxonomy & research pillars

IoT

Embedded systems, sensor telemetry, edge computing & hardware protocols

Mathematics

Linear algebra, calculus, spectral theorems, probability & applied math

Quantum & Classical Physics

Mechanics, dynamical systems, electromagnetism, statistical physics & simulation

Systems Architecture & Low-Level Code

Distributed systems, low-level optimization, algorithms & cloud microservices

Philosophy of Mind & Epistemology

Epistemology, formal logic, metaphysics, ethics & foundations of AI

Digital Jurisprudence & Smart Contracts

Contract law, corporate governance, legal theory & smart covenants

Quantitative Finance & Market Microstructure

Asset pricing, portfolio theory, market microstructure & risk modeling

Computational Accounting & Ledgers

Financial reporting, auditing, cryptographic ledgers & double-entry mechanics

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.

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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.

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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.

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