# Chandrakant Koneti > Actively seeking 2026 SDE New Grad roles | MCS @NCSU | AI Engineer @Yottasecure Location: San Francisco Bay Area, United States Profile: https://flows.cv/chandrakant I’m a Full Stack Software Engineer currently pursuing my M.S. in Computer Science at NC State, building AI-powered and cloud-native applications. I have experience in RAG systems, backend and frontend development, and scalable product development using Python (FastAPI), TypeScript (React), Java (Spring Boot), and AWS. I’ve worked on RAG-based AI solutions, serverless architectures, microservices, and distributed systems using AWS Lambda, Bedrock, CloudFormation/CDK, S3, DynamoDB, API Gateway, and OpenSearch. I’m passionate about building clean, scalable software and intelligent systems that are reliable, practical, and built for impact. Seeking full-time software engineering roles (AI, Full Stack, Backend, Frontend, or Cloud) starting May 2026. πŸ“§ chandrakantkonetius@gmail.com πŸ“ž +1 984-374-9958 ## Work Experience ### AI Software Engineer @ Yottasecure,Inc. Jan 2026 – Present | San Jose, CA β—† Building a role-aware RAG based AI chatbot using AWS Bedrock with Python Lambda orchestration and DynamoDB backed session history to deliver context-aware responses. β—† Optimizing VectorDB indexing of 1M+ records of S3 using custom Lambda triggers to chunk and embed data using Titan, and store them in AWS OpenSearch reducing service costs from $50K to $20K/year. β—† Developing data pipelines using 4 Lambdas triggered by EventBridge to store 10K+ security records/day in AWS S3 with IaC provisioned through AWS CDK in TypeScript for downstream LLM workflows. ### Software Engineer Intern - AI @ Reva.ai Jan 2025 – Jan 2025 | Raleigh, NC β—† Built and deployed 12 Python AWS Lambdas using API Gateway, leveraging DynamoDB as global storage for multi-tenant config management, eliminating 30GB data across 20+ Kubernetes clusters and saving $2K/year. β—† Increased reliability of long-running AI workflows by enhancing the core Java Spring Boot Temporal service, unifying error handling for 59 activities into 4 standardized types and reducing manual retries by 98%. β—† Built non-blocking customer usage logging in a FastAPI-based AI service for LangChain and Amazon Bedrock, streaming to CloudWatch Logs for real-time billing and cutting latency by 120ms. β—† Developed a Python AWS Lambda with Cognito post-signup triggers to sync 100% of SSO users (Okta, Microsoft, Google) in real time to on-prem DBs via a custom REST API. β—† Owned integration testing with real mock events for Lambdas and Spring Boot services, boosting test speed by 40%. ### Frontend Engineer Intern @ RabbitLoader Jan 2023 – Jan 2023 β—† Led the migration of core micro-frontend from React v14 to v18, fixing legacy bugs, preventing regressions in prod. β—† Optimized application architecture with Redux, and load distribution, cutting bundle size from 300MB to 3MB using Webpacks and reducing load time from 12s to 3.5s. β—† Boosted UI responsiveness 400% with infinite scroll, lazy loading, delivering components 5Γ— faster using Material-UI. β—† Developed mock APIs in Node.js for E2E testing, enabling faster prototyping and reducing QA cycles by 30%. ### Backend Engineer Intern @ Cambridge Technology Enterprises Limited Jan 2023 – Jan 2023 | Hyderabad β—† Built 2 Java Spring Boot microservices to ingest, validate, and serve 2M+/yr medical-diagnosis records. β—† Streamed real-time data from a Spring service via RabbitMQ to the notification service and 2 Kafka topics for the ML team’s analysis and ETL processes, reducing failures and data loss by over 10GB+ during peak stages. β—† Optimized data retrieval with Redis caching, reducing database calls by 65% and latency by 2s/API request, while aggregating 100K+ user data from PostgreSQL and reports data from MongoDB. β—† Developed integration tests using Mockito, increasing code coverage by 46% and reducing prod bugs significantly. ## Education ### Master of Science - MS in Computer Science North Carolina State University ### Bachelor of Technology - BTech in Information Technology Indian Institute of Engineering Science and Technology (IIEST), Shibpur ## Contact & Social - LinkedIn: https://linkedin.com/in/chandrakant-koneti - Portfolio: https://konetichandrakant.github.io/portfolio/ - Portfolio: https://konetichandrakant.github.io/portfolio --- Source: https://flows.cv/chandrakant JSON Resume: https://flows.cv/chandrakant/resume.json Last updated: 2026-04-16