Komarabathini V.
Junior Software Engineer
Open to offersNew to PlatformAbout
Vishwachaitanya K. is a Software Engineering Intern with hands-on experience at Warner Bros. Discovery and Siemens Technology, focusing on the entertainment and industrial technology sectors. At Warner Bros. Discovery, he developed an intelligent AI layer using AWS architecture (API Gateway, Lambda, S3) and deployed Deep Agents on Bedrock AgentCore, enabling secure, scalable, and reusable workflows while integrating enterprise knowledge systems. At Siemens Technology, he engineered a language-agnostic test case generation pipeline—utilizing Neo4j and automation in CI/CD—that improved LLM-driven test generation, reduced cycle times, and boosted development throughput. Vishwachaitanya’s projects demonstrate advanced multi-agent orchestration and real-time feedback using Python, JavaScript, and cloud computing. His leadership contributions in industry-academic initiatives further reflect his effective facilitation within technology-driven environments.
Experience
Software Engineering Intern
Warner Bros. Discovery (WBD) · 2026 — 2026Developed an intelligent AI layer to facilitate secure, scalable, and reusable agent-driven workflows across internal teams. Deployed Deep Agents on AWS Bedrock AgentCore, creating a production-grade AWS architecture utilizing API Gateway, AWS Lambda, and S3 for secure tool execution, orchestration, and scalable inference while integrating enterprise knowledge systems into a unified agent platform. Created various enterprise tools for the agent layer, including Atlassian Confluence Tool for search and page retrieval, Jira Tool for issue management, and DataHub Tool for metadata search.Software Engineering Intern
Siemens Technology · 2025 — 2025Designed a language-agnostic test case generation pipeline that parses source code across JavaScript, Java, Python, and C++, constructing semantic knowledge graphs in Neo4j to enhance LLMs in producing contextually accurate test cases. Developed graph storage and retrieval modules, successfully reducing context re-hydration time and increasing LLM-based test generation throughput. Streamlined CI/CD pipelines to run generated test cases and gather coverage reports using JaCoCo, gcov, and Istanbul, thereby expediting merge request validation and improving coverage consistency.
Skills & Expertise
Education
- B.Tech in Computer Science and EngineeringIndian Institute of Technology Patna · — — 2026
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