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Panagiotis Gkilis profile picture

Panagiotis Gkilis

AI & Backend Engineer. Creator of ttsproof and trainproof — open-source tools for TTS evaluation and failing-run detection. Trained a 730M-parameter neural speech model. Production RAG + automation.

Education

Natural Sciences coursework, Hellenic Open University — 11 of 12 modules, 222 ECTS

Pronouns

He/Him

Work

Founder & Engineer, BedVibe Studio

I Assumed My Retriever Failed at Stage One. The Bigger Failure Was at Stage Three.

I Assumed My Retriever Failed at Stage One. The Bigger Failure Was at Stage Three.

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3 min read
One Integer Deleted the Stop Token From My Loss. The Curve Never Noticed.

One Integer Deleted the Stop Token From My Loss. The Curve Never Noticed.

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4 min read
Fourteen Speaker Encoders Heard the Same Voice. Their Error Rates Differed Five-Fold.

Fourteen Speaker Encoders Heard the Same Voice. Their Error Rates Differed Five-Fold.

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5 min read
Two of My Instruments Were Wrong, in Opposite Directions

Two of My Instruments Were Wrong, in Opposite Directions

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7 min read
My Agent Answers From 0.6% of Its Corpus and Reports It Like a Full Read

My Agent Answers From 0.6% of Its Corpus and Reports It Like a Full Read

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5 min read
I Shipped a Feature in May. Nobody Could Reach It Until Yesterday.

I Shipped a Feature in May. Nobody Could Reach It Until Yesterday.

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4 min read
My Validation Layer Was Correctly Deleting 16% of My Good Data

My Validation Layer Was Correctly Deleting 16% of My Good Data

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7 min read
Your TTS Model Sounds Great — Until It Says "GPUB"

Your TTS Model Sounds Great — Until It Says "GPUB"

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4 min read
Why Corrupted Training Data Doesn't Show Up as High Loss

Why Corrupted Training Data Doesn't Show Up as High Loss

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4 min read
The Same Bug, Four Times, Three of Them Mine

The Same Bug, Four Times, Three of Them Mine

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4 min read
A Hundred Per Cent Success Rate and One Usable Answer

A Hundred Per Cent Success Rate and One Usable Answer

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6 min read
Ten Tests, Written Before the Code. The One That Failed Taught Me the Most

Ten Tests, Written Before the Code. The One That Failed Taught Me the Most

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4 min read
Speaker embeddings can mistake a 0.7-semitone change for something else

Speaker embeddings can mistake a 0.7-semitone change for something else

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3 min read
I spent months training a 730M model with no tool that could tell me it was already dead

I spent months training a 730M model with no tool that could tell me it was already dead

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7 min read
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