Sandra Binoy
Sound off

I build systems
that hold at scale.

Software Development Engineer II at Amazon Books. I tune distributed systems for clarity and speed — and I'm happiest at the edge where engineering meets research.

move around quietly — hover to hear it, or keep the sound off
0
Customers reached
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Page latency reduced
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Locales shipped
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Marketplaces shipped to
The score · a career in movements
Movement III

Amazon

Software Development Engineer II · Books org
2022 — Present · Madrid, ES
Found what everyone had stopped seeing. Surfaced a long-standing high-severity defect in a customer-facing engagement surface: 3M+ records still resolved through legacy infrastructure, so the follow control silently failed to load — leaving customers with no way to tell whether they were following an author, brand, or creator.
Scalable system design. Authored technical design docs for high-traffic personalisation features on a page reaching 300M annualised visitors — 600M worldwide.
Latency, quieted. Architected an endpoint-proxy for batch API calls, bypassing legacy limits to cut page latency ~50% — from 9–12s down to 4–6s.
Global reach. Shipped a feature on a central Amazon page, live across 12 major marketplaces and 37 locales, lifting global customer engagement by 6%.
Operational excellence. Led cross-functional deprecation of legacy infrastructure, reclaiming 2 developer-months of annual maintenance.
Movement II

Capgemini

Associate Consultant
2020 — 2022 · Bengaluru, IN
CI/CD automation. Designed a deployment pipeline that cut developer release time 75–85% — four hours down to under forty-five minutes.
Movement I

BFC

AI / ML Engineer
2019 · Bengaluru, IN
Deep learning in production. Built & optimised a deep neural network for CPU-usage anomaly detection, improving outlier-detection accuracy by 18%.
The refrain · what I keep returning to

The research thread runs through everything I ship.

I love the problems where statistics, systems, and shipping all have to agree — diving deep until an idea earns its place in production. That's meant shipping a feature on a central Amazon page live across 12 major global marketplaces, cutting page latency in half, and prototyping a deep neural net for anomaly detection. From that to a Caltech post-graduate certification program in AI & Machine Learning, curiosity is the through-line, not a side quest.

Deep Neural Networks Anomaly Detection Non-linear SVM Pathway Analysis Prompt Engineering Caltech CTME · AI/ML '25
Publication

Binoy, S. et al. (2020). RNA-Seq DE Genes on Glioblastoma Using Non-Linear SVM and Pathway Analysis of NOG and ASCL5. In Computational Vision and Bio-Inspired Computing, ICCVBIC 2019 — Springer, Cham. doi.org/10.1007/978-3-030-37218-7_78

The instruments
Languages
JavaPythonTypeScript JavaScriptCShell SQLR
Web & Frontend
GraphQLReactJSHTMLCSS
Tools & Platforms
AWSGit
Specialisations
Distributed SystemsPerformance AI / MLPrompt Engineering
The coda

Let's build something
that resonates.

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