a
arocksharon32

Arock

@arocksharon32

Software Developer

India
Tamil, Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Hi, I am a passionate writer and developer who thrives on crafting engaging content and building innovative digital solutions. I have written and published 8 articles on LinkedIn, delivering insightful and well researched pieces. On the tech side, I have developed a ChatGPT-like app using the OpenAI API, showcasing my expertise in AI powered applications. Whether you need compelling articles, a sleek website, or a custom-built app, I’m here to turn your ideas into reality with quality and creativity. Let’s collaborate.... Continua a leggere

Competenze

a
arocksharon32
Arock
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Articoli di settore professionali
I will write high quality articles and blog posts that engage readers
A partire da5 USD / progettoMaggiori dettagli
Sviluppo di chatbot IA
I will build a custom ai chatbot trained on your business documents
A partire da10 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Amazon

Software Developer Intern

Amazon • Full time

Jan 2026 - Jun 2026 • 5 mos

◦ Ported an iOS image-search matching algorithm to Android with full functional parity, implementing Lucene-based tokenization and proximity-gap matching and integrating a native C++ search library (KSDK BookSearch) via JNI, including patching the native build configuration to produce an Android-compatible binary. ◦ Built the Jetpack Compose UI layer for the ported search feature: a reactive carousel driven by StateFlow, asynchronous image loading via Coil, and full localization and accessibility support across 9 locales. ◦ Designed and built a semantic search proof-of-concept end-to-end on AWS: generated embeddings with Bedrock (Cohere Embed v3), indexed in OpenSearch Serverless, and configured two Bedrock Knowledge Bases (Titan TextEmbed v2) for auxiliary content types; implemented the retrieval Lambda, API Gateway integration, and client UI, unifying search across three previously separate content types. ◦ Shipped an entity-highlighting (”Hotspots”) feature surfacing contextual information for in-book entities, using a sidecar JSON schema for position and metadata.