Rohith Reddy Pallam Reddy

ReCommerce - Amazon Resale

• Architected and built end-to-end AWS cloud solutions utilizing Lambda, SQS, SNS, and ECS over Fargate, processing millions of inventory items through optimized recovery channels.
• Led the development of an AI-powered inventory management system, leveraging LLMs and GenAI to automate condition assessments and dynamic pricing for Amazon's used inventory.
• Implemented machine learning-based pricing strategies, incorporating demand forecasting, improving recovery value by 12% across multiple sales channels.
• Designed and deployed serverless workflows using CloudFormation and AWS Step Functions, streamlining warehouse deals processing, and reducing manual intervention by 43%.
• Spearheaded inventory optimization initiatives, driving a 40-60% reduction in unoffered inventory, reducing sellable age by 23 days, and improving the offered inventory rate to 84%, resulting in a $13M annualized net recovery impact.
• Led initiatives resulting in a $26.3M resolution of stranded inventory and over $90M annual retail COGS improvement, while achieving an 84% offered inventory rate (up from 45%) through optimized recovery channels and automated pricing strategies.
• Resolved AppSec issues in multiple SAS repositories, resulting in a 60% reduction in security incidents, significantly enhancing the organization's security, and mitigating potential risks.

Prime Tech - Just Settled Prime Customers Retention

• Spearheaded backend development for the Prime membership retention program, implementing targeted engagement systems that improved new-member retention by over 6%.
• Engineered a scalable microservices architecture using AWS Lambda, SQS, and Fargate to process high-volume customer engagement workflows.
• Developed and maintained cloud-native solutions for marketing campaigns, utilizing AWS technologies to enhance customer experience and drive membership growth.

Beagle - Export Compliance Tech Platform

• Architected and delivered a full-stack compliance management platform, enabling automated workflow configuration across multiple compliance programs.
• Implemented serverless infrastructure using AWS (Lambda, Step Functions, SQS) to handle complex workflow orchestration and system integration.
• Designed a scalable data management solution utilizing ElasticSearch and AWS SES, processing over a million compliance requests daily.
• Built a user-centric portal for compliance program configuration, reducing setup time by 75%, and streamlining resource allocation.

IoT Voice Recognition Engine

• Architected and delivered a lightweight voice engine for Samsung's IoT ecosystem, achieving exceptional performance within 1 MB RAM/200 KB ROM constraints, reducing memory footprint by 90% compared to previous solutions.
• Led end-to-end design and development as the technical lead, delivering a solution 3+ months ahead of schedule, enabling integration across Samsung's next-generation IoT product line.
• Optimized voice processing algorithms result in a 60% improved response time and a 20% higher recognition accuracy.

ASR SDK for Wearables

• Developed and implemented a multi-session ASR SDK, powering voice capabilities across Samsung's wearable lineup, including the Gear S3, Galaxy Watch, and Gear Sport, serving X+ million users.
• Engineered a complex session management system handling two concurrent voice sessions with a 45% reliability rate.
• Designed a scalable result tracking and stitching architecture for processing daily voice commands across multiple applications (VoiceMemo, Reminder, Messaging).

Smart Family Hub Integration

• Spearheaded voice solution integration for Samsung's first smart appliance line, establishing a proprietary Scube protocol interface with a 23% reduction in latency.
• Expanded voice command functionality to multiple digital appliances (televisions, washing machines, microwaves, and air conditioners).