Sunil Belakeri

Principal Software Developer at Savvas Learning Company with strong expertise in AWS technologies and Agile methodologies. Skilled in designing, architecting, and managing large-scale web applications, with a focus on serverless technology implementation. Experienced in following Scrum practices to enhance team agility and productivity. Demonstrates exceptional written and verbal communication skills to facilitate collaboration and project success.

• English
• Hindi
• Kannada

Technologies: Redshift, OpenSearch, Angular, NestJS

Role: Principal Software Developer

Description:

Led the development of Screener and Diagnostics dashboards to visualize user performance trends and support administrator decision-making.

Responsibilities & Achievements:

• Architected backend queries and aggregations across Redshift and OpenSearch for efficient data delivery.
• Guided the team through sprint planning and execution to meet aggressive delivery timelines.
• Ensured WCAG-compliant visualization and accessibility across all dashboard modules.

Send/Schedule Feature, Realize Overview, and Dyslexia Dashboards

Technologies: AWS, Node.js, Angular, GraphQL, JAVA, Opensearch

Role: Principal Software Developer

Description: Designed and implemented reporting dashboards to provide district administrators with actionable insights across various assessment types.

Responsibilities & Achievements:

• Collaborated cross-functionally to deliver critical enhancements in Send/Schedule features and data-driven dashboards like Realize Overview and Dyslexia Reporting.
• Designed scalable backend APIs and interactive UI components for improved usability and reporting clarity.
• Enabled timely delivery of high-impact features aligned with strategic business goals.
• Contributed to the enhancement of the heartbeat-service, ensuring system reliability and observability.

RAG-Based AI Chatbot for Report Insights (POC)

Technologies: Langchain, OpenAI (GPT), AWS Bedrock, Redshift

Role: Principal Software Developer

Description:

Developed a proof of concept (POC) for an AI-powered chatbot using Retrieval-Augmented Generation (RAG) to enable natural language querying of Usage reports.

Responsibilities & Achievements:

• Designed and implemented an end-to-end RAG pipeline using Titan embeddings, Redshift, and Langchain.
• Demonstrated potential to automate data interpretation and reduce manual report analysis time.
• Established scalable and secure architecture for future production integration.

Technologies: AWS AppSync, AWS Cognito, DynamoDB, SNS/SQS, Athena, 

Role: Senior Technical Lead, 

Description: User activity service captures student interactions on assignments. User activity service performs auto-scoring and enables teachers to perform manual scoring., 

Responsibilities & Achievements:

Was part of the product development team where we built the product leveraging serverless infrastructure with user data sync enabled for offline usage., Designing and implementing server-less application layer using AWS AppSync., Leveraged AWS Cognito for Identity management., Migrated a legacy system built on JAVA and infra (Beanstalk and CouchBase) to the latest serverless system (AppSync and DynamoDB), Worked closely with AWS AppSync (as the service was still evolving) architect team to provide consistent feedback., Leveraged Athena for reporting migration status., Design considering security and performance at the core of architecture., Net result: 90% cost saving on infrastructure utilized.

Technology: AWS EMR, SNS/SQS, NodeJS, Python

Role: Technical Lead

Description: As the organization was acquired by another organization, there was a need to re-brand content (~100M content items). Part of the team which built product Parsimorphosis to achieve the goal which was highly scalable and reliable system., Design and implement Content (images, pdf, doc, EPUB etc) parser/remediator on AWS EMR.,

Responsibilities & Achievements:

• Designed to parse/remediate/re-parse/re-remediate the content items with high performance.,
• Leveraged Kafka for topic/event management.,
• Design and implement a real time status management system using Angular, NodeJs leveraging websocket connections.,

Net result: Parse and remediate Big data (100M+ content items) with high performance, Org level content analysis.

• Moved multiple existing services from legacy Beanstalk to Fargate.
• For long running batch jobs, moved from legacy EC2 instances to usage of AWS Batch jobs and AWS step functions.
• Design discussions on alternative approaches for Authentication/ Authorization mechanisms.