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AADITYA AGARWALAA
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AADITYA AGARWAL

@aadityaagarwal

AI/ML engineer at Marvedge who accelerated video preprocessing 53× and cut cloud costs by over 95%.

India
Message

At Marvedge, I integrated TalkNet into a video-analysis pipeline that processed video at 28.5× real time on a T4 GPU. I also accelerated preprocessing 53× by replacing random-seek decoding with a sequential FFmpeg pipeline.

I cut production cloud costs from $1,700+ to about $60–80 per month by moving video delivery to Cloudflare R2 and replacing always-on GPU instances with Spot Auto Scaling Groups. I also built multilingual speech and LLM pipelines, including subtitle translation checks for 30+ target languages.

In the LLVM Project, I contributed a merged MLIR bufferization fix and have three open Clang Static Analyzer PRs. My FFmpeg contributions include two open AArch64 NEON PRs with passing CI and measured 14–30× speedups; I also authored a preprint on verifying AI-generated code.

Experience

Work history, roles, and key accomplishments

MA
Current

AI/ML Engineer Intern

Marvedge

Aug 2026 - Present (3 months)

Delivered active-speaker detection at 28.5x real-time on a T4 GPU and accelerated video preprocessing 53x by replacing OpenCV random-seek decoding with a sequential I-frame-only FFmpeg pipe. Reduced fragmented speaker tracks from 1,527 to 7 and cut production cloud cost by over 95%.

Education

Degrees, certifications, and relevant coursework

VU

VIT Bhopal University

B.Tech, Computer Science & Engineering (AI & ML)

Grade: 9.27

Pursuing a B.Tech in Computer Science & Engineering with a focus on AI & ML, maintaining a GPA of 9.27.

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