Rakshesh Shah

FAQ About Rakshesh Shah

• What is Rakshesh Shah's address?

  Rakshesh Shah is located at
  San Francisco, California, United States

• What is Rakshesh Shah's job title?

  Rakshesh Shah is a
  Currently, I am leading the development of Amazon.com beauty division for providing personalized beauty product recommendations based on user’s beauty preferences and shopping pattern. I'm building latency sensitive, highly scalable and distributed backend recommendation engine and infrastructure. This engine is used for surfacing recommendations on Amazon search, homepage and products’ details page In the past, I worked for Amazon Web services (AWS). I'm one of the early developers of three AWS services. Aws DeepComposer (AI powered music generation service) – developed training and inference ML pipelines to integrate generative models (transformer-based architecture) for music generation https://aws.amazon.com/deepcomposer/ Aws BugBust (AI powered bug scan tool with competition feature) – designed & developed multi-tenant real time leaderboard service to manage participants’ score, ranking, rewards and prizes. Recorded Guinness world record by hosting largest bug bash competition. https://aws.amazon.com/bugbust/ Aws DeepRacer Student (service to teach students AI & ML concepts) – developed a course tracking and quiz management service to track students' progress and scholarship. https://aws.amazon.com/deepracer/student/ --------------------------------------- SNAPSHOT of my skills ------------------------------------- • 9+ years of experience as a Software Engineer with backed and machine learning infrastructure specialists • Strong knowledge about recommendation system • Proficient in Java and Python Programming • Strong grasp on Machine learning (MLOps, NLP, algorithms) • Worked on BigData technologies like Spark, MapReduce,Hive, Pig, Sqoop • Explored NoSql databases like HBase and Dynamodb • Knowledge about search technologies such as Elasticsearch, caching like redis and memcache  • Well awareness of Core Java, J2EE, Spring MVC, HTML, CSS, JavaScript Meta

• What industry does Rakshesh Shah currently work in?

  Rakshesh Shah currently works in the
  Meta

• What is Rakshesh Shah's area of expertise?

  Rakshesh Shah specializes in
  Currently, I am leading the development of Amazon.com beauty division for providing personalized beauty product recommendations based on user’s beauty preferences and shopping pattern. I'm building latency sensitive, highly scalable and distributed backend recommendation engine and infrastructure. This engine is used for surfacing recommendations on Amazon search, homepage and products’ details page In the past, I worked for Amazon Web services (AWS). I'm one of the early developers of three AWS services. Aws DeepComposer (AI powered music generation service) – developed training and inference ML pipelines to integrate generative models (transformer-based architecture) for music generation https://aws.amazon.com/deepcomposer/ Aws BugBust (AI powered bug scan tool with competition feature) – designed & developed multi-tenant real time leaderboard service to manage participants’ score, ranking, rewards and prizes. Recorded Guinness world record by hosting largest bug bash competition. https://aws.amazon.com/bugbust/ Aws DeepRacer Student (service to teach students AI & ML concepts) – developed a course tracking and quiz management service to track students' progress and scholarship. https://aws.amazon.com/deepracer/student/ --------------------------------------- SNAPSHOT of my skills ------------------------------------- • 9+ years of experience as a Software Engineer with backed and machine learning infrastructure specialists • Strong knowledge about recommendation system • Proficient in Java and Python Programming • Strong grasp on Machine learning (MLOps, NLP, algorithms) • Worked on BigData technologies like Spark, MapReduce,Hive, Pig, Sqoop • Explored NoSql databases like HBase and Dynamodb • Knowledge about search technologies such as Elasticsearch, caching like redis and memcache  • Well awareness of Core Java, J2EE, Spring MVC, HTML, CSS, JavaScript

• Which languages does Rakshesh Shah speak? 

  Rakshesh Shah speaks the following languages:
  No languages available.

• Which industries has Rakshesh Shah previously worked in?   

  Rakshesh Shah has prior experience in the following industries:
  Amazon , Amazon Web Services , Asurion , Asurion , Indiana University Bloomington , Tata Consultancy Services , Innoventaa Technocrates

• What is Rakshesh Shah’s work experience?  

  Rakshesh Shah has the following professional experience:
  Meta , Amazon , Amazon Web Services , Asurion , Asurion , Indiana University Bloomington , Tata Consultancy Services , Innoventaa Technocrates .

• How can I find Rakshesh Shah on LinkedIn?  

  You can view Rakshesh Shah’s
  LinkedIn profile at LinkedIn URL.

• What are Rakshesh Shah’s work email addresses?  

  Rakshesh Shah’s work email addresses are
  [email protected].

• What company does Rakshesh Shah work for?  

  Rakshesh Shah works at
  Meta