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Sarthak Agrawal

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Location Lucknow, India Joined Joined on  github website

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CSE Junior at MIT, Manipal

Trace one tensor from model math to serving cost

Trace one tensor from model math to serving cost

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AI pair-programming became useful when every idea met a benchmark

AI pair-programming became useful when every idea met a benchmark

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Two days of kernel debugging ended at one default value

Two days of kernel debugging ended at one default value

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A public roadmap should show which predictions aged badly

A public roadmap should show which predictions aged badly

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Write the reference before debugging the shader

Write the reference before debugging the shader

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The browser-training speedup was a curve, not one headline number

The browser-training speedup was a curve, not one headline number

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The more aggressive matmul kernel lost to the register budget

The more aggressive matmul kernel lost to the register budget

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Memory64 moved the browser ceiling and exposed an ABI gap

Memory64 moved the browser ceiling and exposed an ABI gap

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A learning roadmap is stronger when every lesson touches the system

A learning roadmap is stronger when every lesson touches the system

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The fine-tune looked better because the evaluation was broken

The fine-tune looked better because the evaluation was broken

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A perfect narrow score can still be the wrong general model

A perfect narrow score can still be the wrong general model

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DPO fixed the collapse and still failed the actual task

DPO fixed the collapse and still failed the actual task

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A retry decision was enough to close the first factory loop

A retry decision was enough to close the first factory loop

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One token system fixed a site that felt like two products

One token system fixed a site that felt like two products

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PostTrainLLM vs Axolotl: Mac specialist workflow or accelerator framework?

PostTrainLLM vs Axolotl: Mac specialist workflow or accelerator framework?

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PostTrainLLM vs Unsloth: start with the hardware and the decision

PostTrainLLM vs Unsloth: start with the hardware and the decision

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CodeVetter vs Greptile: repository-aware review or task evidence?

CodeVetter vs Greptile: repository-aware review or task evidence?

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A small language model specialist should earn one job

A small language model specialist should earn one job

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CodeVetter vs CodeRabbit: review guidance or verification evidence?

CodeVetter vs CodeRabbit: review guidance or verification evidence?

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An agent trajectory dataset needs more than final answers

An agent trajectory dataset needs more than final answers

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Meeting notes can stay on the Mac

Meeting notes can stay on the Mac

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What CodeVetter's public benchmark proves, and what it does not

What CodeVetter's public benchmark proves, and what it does not

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Evaluate a local LLM for a decision, not a leaderboard

Evaluate a local LLM for a decision, not a leaderboard

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A Mac AI assistant should verify its actions

A Mac AI assistant should verify its actions

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What belongs in a coding-agent verification evidence bundle?

What belongs in a coding-agent verification evidence bundle?

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MLX LoRA fine-tuning: the command is the easy part

MLX LoRA fine-tuning: the command is the easy part

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What makes a Mac voice assistant private?

What makes a Mac voice assistant private?

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AI code review and agent verification are not the same

AI code review and agent verification are not the same

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Training your own LLM usually means building a specialist

Training your own LLM usually means building a specialist

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A screenshot is not enough for a screen-aware Mac assistant

A screenshot is not enough for a screen-aware Mac assistant

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A practical way to verify AI-generated code

A practical way to verify AI-generated code

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What on-device should mean for a Mac AI assistant

What on-device should mean for a Mac AI assistant

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Fine-tuning an LLM on a Mac is easy to start and hard to evaluate

Fine-tuning an LLM on a Mac is easy to start and hard to evaluate

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A coding agent changed the code. What proves the task is done?

A coding agent changed the code. What proves the task is done?

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