// hello world — i build systems that learn

Apoorv Sharma*

● available

I design, train and ship production-grade ML systems — from research notebooks to models serving millions of predictions a day. Less hype, more shipped.

scroll to explore
Bengaluru, India
--:-- IST · open to remote

// about

Turning messy data into
models that matter

I'm a machine learning engineer who lives in the gap between research and reality — where a promising paper becomes a model that survives real traffic, real edge cases and real 3 a.m. pager alerts.

Over the last six years I've built vision systems that inspect factory lines, speech models that run on-device in 12 Indian languages, and retrieval pipelines that make enterprise search actually find things. My happy place is squeezing latency out of inference and watching a loss curve finally behave.

When I'm not training models, I'm writing about ML systems, mentoring early-career engineers, and over-engineering my espresso routine.

$ whoami → curious · rigorous · shipped

0+
years in ML
0+
models in production
0M+
predictions / day
0 
papers & talks

// selected work

Things I've trained
& shipped

Four projects that best show how I think — each one taken from idea to production.

CV-001 · computer visionlive

NeuralLens

Real-time defect detection for manufacturing lines — 40 ms inference at 99.2% recall across 14 product variants.

PyTorchTensorRTYOLOEdge
SP-002 · speechlive

Murmur

On-device speech recognition in 12 Indian languages — a distilled Whisper running offline at 4× real-time on mid-range phones.

WhisperDistillationONNXMobile
OSS-003 · mlops★ 2.1k

DriftWatch

Open-source model monitoring that catches data drift before your users do. 2.1k GitHub stars, used by 40+ teams.

PythonKafkaGrafanaOpen source
LLM-004 · retrievallive

Synapse

Enterprise RAG platform answering questions over 2M+ internal documents — hybrid retrieval, reranking, and honest "I don't know"s.

LLMsFAISSRerankingK8s

// contact

Let's build something that learns

Have a model to ship, a pipeline to fix, or just want to argue about transformers vs. state-space models? My inbox is open.

usually replies within 24h · or find me on LinkedIn