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TEERTH SHARMA
[BUSY]INITIALIZING KERNEL...
MEM: 64TB // QUBITS: 4096SYSTEM READY

Teerth Sharma

Systems Researcher
Jaipur, India
➜~/mission-control$

// About

Engineering at the Edge of Possibility

I specialize in hardware-aware AI optimization and sparse attention mechanisms. My work focuses on the intersection of systems programming and machine learning—building infrastructure that makes neural networks run faster, use less memory, and deploy anywhere.

Hardware-Aware Optimization

Designing algorithms that understand and exploit GPU architecture.

Sparse Attention Mechanisms

Reducing computational complexity without sacrificing accuracy.

Neural Network Inference

Optimizing TensorRT-LLM and custom CUDA kernels.

Technical Arsenal

Languages
  • Rust (High Performance)
  • C++ (CUDA/Systems)
  • Python (PyTorch/MLX)
  • Assembly
  • TypeScript
Systems & AI
  • NVIDIA Triton
  • TensorRT-LLM
  • Apple Metal (MLX)
  • WebGPU
  • WASM
  • DirectStorage
  • Docker
Core Competencies
  • Kernel Optimization
  • Sparse Attention
  • DSP
  • Latency Optimization
  • Psychoacoustics

target_orgs: NVIDIA (TensorRT) • Google (XLA/JAX) • Meta (FAIR) • Microsoft (DirectStorage)

// Mission Log

Trajectory Timeline

Jun 2025 – Present

Chief Technology Officer (CTO) & Co-Founder

KarmicSphere Media
Jaipur, India

Leading technical strategy and infrastructure. Overseeing deployment of Linux-based systems and optimizing administrative workflows.

LinuxSystem AdminStrategic Planning
2024 – 2028 (Expected)

Bachelor of Technology, Computer Science

Manipal University Jaipur
Jaipur, India

Focus Areas: LLM Fine-tuning, Business Analysis, High-Energy Physics applications in Computing.

LLMsPhysicsCompSci
Jun 2021 – Jun 2025

Writer (Self-Employed)

Remote
Remote

Published writer specializing in creative and web content, developing a strong foundation in storytelling and communication.

StorytellingContent Strategy
Deployments

System
Architectures

AETHER-Lang

AETHER-Lang

Creator of the Aether runtime primitives for LLM Inference. A groundbreaking formally verified kernel proven in Lean 4 with 20+ sorry-free theorems by AgentHALO researchers, guaranteeing production safety mathematically.

Lean 4CRust
AETHER-Link

AETHER-Link

Production Runtime Integration connecting the formally verified Aether kernel primitives into the AgentHALO ecosystem. Inherits the mathematically proven resource safety of the Aether core.

Lean 4RustWasm
AETHER-Wave

AETHER-Wave

Topological signal processing and mathematical manifolds forming the core building blocks for the Aether runtime series. The mathematical foundation that enabled the Lean 4 formal proofs.

Lean 4C++CUDAPython
Classified Data

System Manifest

Access the full technical specifications and operational history. This document contains classified data regarding mission parameters and system architecture.

EXTRACT DATA

// Contact & Signal

Establish Connection

terminal@teerth-sharma:~ (secure)
user@root:~$ connect --protocol=secure --auto-link
> Establishing uplink to Teerth Sharma...
> Available protocols detected: [1-4]
>Input selection [1-4]:

© 2026 Teerth Sharma. Built with passion and love by Seal Team🦭