Mukul Singh Email & Phone Number

Responsibilities-Led the design and implementation of scalable data pipelines and frameworks to manage large volumes of seller data, transitioning from DynamoDB to Elasticsearch for high-volume, low-latency queries.-Developed a comprehensive UI interface for sellers with advanced search functionality, interactive graphs, and metrics, using React, Redux, and D3.js.-Migrated legacy pages to React, improving user experience and enabling seamless integration of new… Show more Responsibilities-Led the design and implementation of scalable data pipelines and frameworks to manage large volumes of seller data, transitioning from DynamoDB to Elasticsearch for high-volume, low-latency queries.-Developed a comprehensive UI interface for sellers with advanced search functionality, interactive graphs, and metrics, using React, Redux, and D3.js.-Migrated legacy pages to React, improving user experience and enabling seamless integration of new features.-Spearheaded the expansion of Amazon's recommendation system, scaling it to handle increased capacity, and addressing ingestion failures and performance bottlenecks.-Redesigned Amazon’s referral fee calculation methodology, shifting from a checkout price-based model to a listing price-based model, leading to improved fee predictability and financial planning.-Implemented extensive logging, monitoring, and performance optimization techniques, including caching, code refactoring, and pre-computed aggregation values, to reduce system latency and enhance reliability.-Coordinated with global teams to ensure seamless deployment and integration of new systems and methodologies, managing complex, cross-functional projects.-Mentored junior developers, providing guidance on best practices in software development, system design, and project management.Impact-Improved query performance, leading to faster and more accurate recommendations, enhancing seller decision-making capabilities.-Reduced ingestion failures by 70% and improved system SLA from 90ms to 60ms, resulting in a significant increase in seller visits and engagement.-Enhanced search accuracy to 95%, reduced page load times, and improved seller engagement with more intuitive and responsive UI components.-Contributed to a $233.1MM uplift in revenue through the redesign of the referral fee structure Show less

Hyderabad, Telangana, India

Bengaluru, Karnataka, India

Responsibilities:- Engineered an automated product preference system, enhancing personalized recommendations and improving user engagement.- Optimized search functionality using Elasticsearch, improving system performance and query accuracy.- Implemented Redis and Bloom filters for efficient data tracking and caching, significantly enhancing system performance and response times.Impact:- Increased user engagement and satisfaction, leading to higher conversion rates and… Show more Responsibilities:- Engineered an automated product preference system, enhancing personalized recommendations and improving user engagement.- Optimized search functionality using Elasticsearch, improving system performance and query accuracy.- Implemented Redis and Bloom filters for efficient data tracking and caching, significantly enhancing system performance and response times.Impact:- Increased user engagement and satisfaction, leading to higher conversion rates and customer retention. Show less

Allahabad Area, India

Education record

Intermediate(Xii), Pcm+Computer Science

Activities and Societies: Head boy of school,participated in various cultural events,debates,quizzes.

High School(X), Science, Cgpa:10/10

Activities and Societies: Participation in various cultural events