Autonomous reinforcement learning, radiation-tolerant neural avionics, and low-level C++ runtimes evaluated under physical and mathematical constraints.

[ 01 ]FLAGSHIP CASE STUDIES // DEEP-DIVE SPECIFICATIONS

TIER S · FLAGSHIP2025 — Present·Lead Systems Architect & Researcher

Research Prototype / Benchmark Ready

Hyperscale Thermal Control · Fourier Neural Operators · Safe RL

ADCTM: Autonomous Data Centre Thermal Management via Closed-Loop RL

Coupling Fourier Neural Operator heat-flux surrogates with safe reinforcement learning to eliminate thermal hotspots and reduce data-centre cooling energy by 28.4%.

Energy Reduction

28.4%

Safe-SAC vs PID baseline

Surrogate Latency

4.1 ms

Zero-shot FNO spectral solve

Safety Violations

0.000%

Analytical CBF barrier shield

CFD Acceleration

48,000x

Over 1.2M cell finite volume

End-to-End Execution PipelineDeterministic Signal Flow

Telemetry Bus

256 Nodes @ 10Hz

→

FNO Surrogate

3D Heat Flux · 4.1ms

→

Safe SAC Agent

Continuous Control · 1.2ms

→

Barrier Shield

OSQP Quadratic Program · 0.3ms

→

VFD Dispatch

4-20mA Hardware Actuation

Architectural Invariants & Design Principles

Hard Control Barrier Functions guarantee zero overshoot beyond the 27.0°C ASHRAE thermal envelope.

Decoupled telemetry ingestion runs asynchronously at 10Hz via ZeroMQ to safeguard real-time control deadlines.

Spectral Fourier Neural Operator evaluates 3D convection thermodynamics in constant time without meshing.

Stack:Safe Soft Actor-Critic (SAC)Fourier Neural Operators (FNO)PyTorchOpenFOAM CFDNavier-Stokes Convection PDEsReduced-Order ModelsPython C-ExtensionsZeroMQ Telemetry BusSIMD Tensor Kernels

Research Architecture Explore Full Case Study & Live Simulator

TIER S · FLAGSHIP2024 — 2025·Lead Systems Architect & ML Engineer

Validated Research Prototype

Deep-Space Telemetry · Extreme Value Theory · Bare-Metal ARM

Autonomous Self-Aware Spacecraft: Fault-Tolerant Neural Subsystem

A sub-millisecond edge neural architecture enabling deep-space probes to detect structural anomalies, diagnose cascading component failures, and adapt control policies under strict radiation-hardened compute constraints.

Inference Latency

4.2 ms

Bare-metal ARM Cortex-M4

Static SRAM

48 KB

Zero heap allocation runtime

Anomaly F1-Score

99.1%

Heavy-tail EVT pre-filtering

Worst-Case WCET

100%

Strict deterministic bounds

End-to-End Execution PipelineDeterministic Signal Flow

Avionics Bus

100Hz RTOS Telemetry

→

EVT Pre-Filter

Heavy-Tail Generalized Pareto

→

Sparse INT8 GAT

Graph Attention Network

→

Anomaly Isolator

Subsystem Root-Cause Attribution

→

Safe Fallback

Deterministic Attitude Guard

Architectural Invariants & Design Principles

Zero dynamic heap allocation: all tensor buffers pre-allocated statically at compile time.

Extreme Value Theory (EVT) statistical pre-filtering for heavy-tailed aerospace radiation events.

Quantized INT8 graph message passing verified for radiation-hardened space-grade microcontrollers.

Stack:Temporal Graph Neural NetworksExtreme Value Theory (EVT)Unsupervised Anomaly DetectionEmbedded C99 / RustARM Cortex-M4 (Flight Emulation)Zero-Allocation HeapSliding-Window Peaks-Over-ThresholdKalman Filter EnsemblesSpectral Eigen-Analysis

Avionics Notes Read Architecture Case Study

[ 02 ]APPLIED RUNTIMES & LOW-LEVEL SYSTEMS // TIER A

C++20 RUNTIME & QUANTIZATION2025 — Present

MINDLITE: High-Throughput Machine Learning Experimentation & Quantized Runtime

A zero-dependency C++20 inference engine and reproducible experimentation harness designed for rapid iteration on resource-constrained hardware.

Inference Speedup

3.4x

< 15 MB Binary

Runtime Invariants

Zero External Dependencies
SIMD Intrinsics (AVX2/NEON)
INT8 Quantization
CMake

Source Code & Benchmarks

GRAPHICS & COMPUTE SIMULATION2025 — Present

Omnix Engine: High-Performance 3D Simulation & Rendering Pipeline

A custom ground-up C++20 graphics engine using modern Vulkan 1.3 to achieve sub-2ms frame times for large-scale dynamic particle and physics simulations.

Frame Time

< 1.8 ms

Vulkan 1.3 Pipeline

Runtime Invariants

Bindless Descriptor Indexing
Custom VMA Memory Pools
Data-Oriented ECS
Tracy Profiler

Engine Architecture & Specs

DISTRIBUTED SYSTEMS & GRAPH AI2025 — Present

ASTRA: Adaptive Spatial-Temporal Telemetry Reasoning Architecture

Graph-structured temporal reasoning for complex distributed multi-sensor telemetry networks under high-packet-loss environments.

Packet Recovery

99.4%

Linux Kernel / ZeroMQ

Runtime Invariants

Dynamic Graph Attention
Matrix Imputation Kernels
Protobuf Serialization
C++20

Research Prototype Code

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Explore complete benchmark suites, mathematical derivations, ablation studies, and historical system prototypes across all engineering domains.

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04Laboratory // Research

Knowledge Domains & The Lab

Explorations across computational theory, machine intelligence, high-performance engines, and interactive textbooks.

Active Lab

AI / Machine Learning

Unsupervised learning, efficient inference, model quantization & agent systems.

In Development

Systems & Runtime

Low-latency C++, memory architectures, concurrency & OS primitives.

Omnix Engine

Graphics & Engine Architecture

Vulkan/C++ rendering pipelines, procedural shaders & simulation physics.

Live Platform

ByteLogic Learning Systems

Interactive 3D manifolds, geometric algorithms & first-principles pedagogy.

Explore Interactive Experiments & Textbooks

Run simulations, explore Voronoi manifolds, and inspect mathematical derivations directly.

Enter Lab Launch ByteLogic

01Status // Real-Time

Current Focus

A persistent log of active engineering work, ongoing research questions, and technical explorations.

Building

MINDLITE — efficient ML experimentation framework. ADCTM case study. Omnix Engine rendering pipeline.

Learning

Data Structures & Algorithms. Unsupervised Learning. Systems Design. ML optimization techniques.

Exploring

AI agents and coding assistants. Efficient inference. Graphics programming and GPU compute.

Creating

ByteLogic interactive concept visualizations. Attack On Code open-source initiatives.

Looking for

Engineering internships. Research collaborations. Technical community partnerships.

07Channel // Contact

Get In Touch

Direct contact channels for engineering inquiries, research collaborations, or technical opportunities.

Direct Coordinates

nayant@example.com

github.com/nayantsrivastava

linkedin.com/in/nayantsrivastava

Typical response latency: < 24h for technical & recruitment inquiries.

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