Aditya Agarwal

Senior Software Development Engineer at Amazon

Worked in the DataInfra Analytics team to design a system to overhaul processing of hundreds of billions of customer data records. Built data ingestion pipelines, batch/schedule ML model scoring/training workflows, and optimized performance; achieved significant speedups and cost reductions. Built UI for model parameter configuration; used Java 8, Python; Spring Boot/MVC/Spring Cloud; AWS services; Apache Beam; Apache Flink; testing with Selenium, Playwright, TestNG; CI/CD with Jenkins; on-call production support; cost analyses.

Senior Software Engineer at Facebook AI Research

Created dialogue models to predict next sentence utterance in Persona Chat and Wizard of Wikipedia datasets; used LLMs; backend services in Java and ML in Python; REST APIs; Spring; PostgreSQL; Django; code reviews; requirement clarification; end-to-end component support.

Senior Software Development Engineer at VS Techno Solution

Created a user behavior prediction system using RNN/LSTM, implemented ETL pipelines with Apache Flink; built Rest APIs; MVC architecture; implemented modeling and data processing; ensured performance tuning and production support.

Senior Software Development Engineer at Amazon

Led design and implementation of a data-processing system to batch and schedule ML model scoring/training across hundreds of billions of customer data records. Built end-to-end data ingestion pipelines (Apache Beam, Apache Flink) and ETL for ML requests; achieved 61% speedup and ~73% overhead cost reduction through optimized batch scheduling and reduced disk I/O. Developed REST APIs and UI components using Java Spring Boot, Spring MVC, Spring Cloud and ReactJS; integrated AWS services (DynamoDB, S3, Lambda, EventBridge, IAM, CloudWatch, SQS, SNS, EC2, EMR, EKS, ECR, ECS, SageMaker, CodePipeline, CloudFormation, Terraform, CDK).

Senior Software Engineer at Facebook AI Research

Created backend services in Java 8 and ML components in Python to build dialogue models predicting next utterance in multi-turn conversations. Optimized for Persona Chat and Wizard of Wikipedia datasets, leveraging LLMs; developed end-to-end system using Spring Boot/MVC/Spring Cloud, Django, and PostgreSQL. Produced specifications, UML diagrams, and conducted unit/integration tests; collaborated with BAs to clarify requirements.

Senior Software Development Engineer at VS Techno Solution

Created user behavior prediction system using RNN/LSTM and LCTM for website personalization, increasing revisits by 4x and boosting revenue by $10 million. Implemented backend in Java 8 and Python ML, configured Apache Flink for ETL pipelines, and built REST APIs with Spring Boot/MVC/Microservices. Fine-tuned Oracle 11g, performed root-cause analysis and provided production support; delivered end-to-end UI-to-DB integration and agile development.

Senior Software Development Engineer at Amazon

Role in DataInfra Analytics to overhaul batch processing of hundreds of billions of customer data records; designed adaptive batch and scheduling for ML model scoring/training pipelines; built data ingestion pipelines; achieved 61% speedup of ML models and ~73% average cost reduction; contributed to on-call production support and cost analysis; implemented MVC and REST APIs using Java 8, Python, Spring, and React; leveraged AWS services (DynamoDB, S3, Lambda, EventBridge, IAM, API Gateway, CloudWatch, SQS, SNS, EC2, EMR, EKS, ECR, ECS, SageMaker, KDS, CodePipeline, CodeCommit, CodeBuild, CodeDeploy, CloudFormation, Terraform, CDK); built data processing pipelines with Apache Beam and Flink; conducted UI testing with Selenium/Playwright; performed API testing with Rest Assured; participated in design, coding, reviews, and SDLC in Agile.

Senior Software Engineer at Facebook AI Research

Developed dialogue models to predict the next sentence utterance in Persona Chat and Wizard of Wikipedia datasets; built backend services in Java 8 and ML components in Python; designed REST APIs and microservices; researched state-of-the-art chat techniques; used PostgreSQL; worked with Large Language Models (LLMs) and Django; contributed to end-to-end system components and design documentation.

Senior Software Development Engineer at VS Techno Solution

Created a user behavior prediction system using RNN, LSTM, and LTMC to personalize websites; increased revisits and revenue; implemented ETL pipelines with Apache Flink; built REST APIs with Spring-based microservices; PostgreSQL/JPA/Hibernate integration; front-end development with JavaScript; contributed to architecture and troubleshooting; performed performance tuning and documentation.

Senior Software Development Engineer at Amazon

Led the DataInfra Analytics initiative to overhaul processing of hundreds of billions of customer data records. Designed and implemented an adaptive batching and scheduling framework for ML model scoring and training workflows. Built data ingestion pipelines across multiple stages to enable parallel ML workflows. Achieved 61% speedup in model scoring and 73% average reduction in related overhead costs, while providing on-call production support and cost analyses.

Senior Software Engineer at Facebook AI Research (FAIR)

Created dialogue models to predict the next sentence utterance from recent human dialogue turns, improving long-term coherence on Persona Chat and Wizard of Wikipedia datasets. Implemented backend services in Java and ML components in Python, with REST microservices, and contributed to end-to-end development and testing.