Shalini Ravishankar

Software Engineer

Seattle, Washington, United States12 yrs experience

Highly StableAI ML Practitioner

Key Highlights

Over 10 years of software engineering experience.
Expertise in search algorithms and recommendation systems.
Led teams to launch products impacting millions globally.

Stackforce AI infers this person is a SaaS and E-commerce expert with a strong focus on machine learning and recommendation systems.

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Skills

Core Skills

Recommendation SystemsMachine LearningFull-stack Software DevelopmentData Analysis

Other Skills

Information retrievalAWSElastic SearchRedisEMRApache SparkHadoopJavaScalaPythonA/B testingJUnitNoSQLSpringAngularJS

About

As an entrepreneurial engineer, I'm passionate about turning visionary concepts into real-world solutions. With over 10+ years of experience in software engineering, my expertise lies in designing, engineering, and productizing cutting-edge systems that have impacted the lives of millions worldwide. My journey in technology has revolved around harnessing the power of search, recommendation, and personalization to create seamless user experiences. By blending technical prowess with a strategic mindset, I thrive in driving innovation and fostering growth. Areas of expertise: * Search Algorithms and Information Retrieval * Recommendation Systems and Personalization * Full-stack Software Development Key Achievements: * Led cross-functional teams in successfully launching products that touched the lives of hundreds of millions of users. * Spearheaded optimization initiatives resulting in significant improvements in system performance and user engagement. As I navigate the dynamic world of technology, I'm constantly seeking new challenges and opportunities to collaborate on impactful projects. Let's connect and explore how we can create a positive impact together.

Experience

12 yrs

Total Experience

3 yrs 6 mos

Average Tenure

1 yr 4 mos

Current Experience

Netflix

Software Engineer - ML/AI

Jan 2025 – Present · 1 yr 4 mos

Amazon

Software Engineer - Content Discovery, Recommendation & Personalization

Apr 2016 – Dec 2024 · 8 yrs 8 mos · Greater Seattle Area

Amazon’s Choice (Product Ranking & Recommendation)- The mission of Amazon’s Choice is to simplify the customer shopping experience. Through advanced algorithms, machine learning, distibuted systems and large-scale data processing, we help customers find the highest quality and best priced products to satisfy their purchase intent. Our experience spans Alexa Shopping and Amazon.com with a global footprint.
Technologies: Information retrieval, Recommendation systems, Machine learning, AWS, Elastic Search, Redis, EMR, Apache Spark, Hadoop, Java, Scala, Python, A/B testing, JUnit, NoSQL, Spring
Amazon Video (Video Ranking & Recommendations) - Our mission is to eliminate the selection problem and reduce the customer work in discovering videos by placing at the top of the page the right content that the customer would like to watch at that time on that device i.e. building a personalized home page experience tailored to individual customer tastes. We do this by mining through hundreds of different recommendation strategies, historical customer streaming behavior and understanding customer-device-time of day relationships. Apart from the machine learning challenges on rich video data sets, we also deal with core engineering problems of delivering a low latency real time personalized home page experience, building a global solution and scaling to millions of Prime Video customers worldwide.
Technologies: Large scale Distributed System, Explore/Exploit, AI/Machine learning, AWS, EMR, Apache Spark, Hadoop, Java, Scala, Python, A/B testing, JUnit, NoSQL, Spring, AngularJS

Information retrievalRecommendation systemsMachine learningAWSElastic SearchRedis+13

Sears

Software Engineer

May 2015 – Apr 2016 · 11 mos · Greater Chicago Area

Worked on adding new features to the Order Management System (Post Order) to improve the Customer Satisfaction and revenue.
Technologies: Java, MySQL, Hibernate, Spring, Jenkins, JUnit

JavaMySQLHibernateSpringJenkinsJUnit+1

Purdue university

Graduate Research Assistant

Apr 2014 – May 2015 · 1 yr 1 mo · Purdue School Of Science

Developed an automated dynamic pipeline for genome big data analysis to predict cancer cells.
Technologies: Hadoop Ecosystem, Java, Python, R, Html, PHP, Bootstrap, JavaScript

Hadoop EcosystemJavaPythonRHtmlPHP+3