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dharma tejaDT
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dharma teja

@dharmateja

AI QA Engineer at DeepTechCollab building RAG pipelines and LLM evaluation frameworks for end-to-end quality.

India
Message

At DeepTechCollab, I built independent RAG pipelines, multi-agent systems, and an LLM evaluation framework to validate AI output quality. I also configured AI/ML training lab infrastructure and delivered workshops on AI/ML, GenAI, and Agentic AI.

At Macrometa, I designed and maintained unit, integration, and end-to-end test suites using Pytest and Playwright across microservices. I integrated automated testing into Jenkins CI/CD pipelines and owned defect tracking through remediation coordination and release acceptance sign-off.

On my Multi-Agent Research Intelligence Platform project, I built a LangGraph- and LangChain-based system coordinating five specialized agents, with a hybrid RAG pipeline and safety guardrails. I also created an AI test-case generation prototype using locally hosted Phi-3 and LLaMA models via Ollama.

Experience

Work history, roles, and key accomplishments

DE
Current

Technical Support Engineer

DeepTechCollab

Nov 2025 - Present (11 months)

Built independent RAG pipelines, multi-agent systems, and an LLM evaluation framework applying relevance, faithfulness, completeness, and precision/recall-style metrics to validate AI output quality end-to-end. Configured and administered AI/ML and GenAI training lab infrastructure and delivered hands-on workshops on AI/ML, GenAI, and Agentic AI concepts.

MA

QA Engineer

Macrometa

Apr 2021 - Aug 2025 (4 years 4 months)

Designed and maintained a comprehensive unit, integration, and end-to-end (E2E) test suite using Pytest and Playwright across functional, regression, and release testing for microservices architectures. Performed API-level functional and integration validation, built automated test suites into Jenkins CI/CD pipelines, and owned the end-to-end defect lifecycle using Jira and Zephyr.

Education

Degrees, certifications, and relevant coursework

KC

KIET College

Bachelor of Technology, Computer Science

Grade: Percentage: 69.3%

Bachelor of Technology in Computer Science from KIET College, with a percentage of 69.3%.

Jawaharlal Nehru Technological University logoJU

Jawaharlal Nehru Technological University

Master of Science, Information Technology

Grade: CGPA: 7.95

Master of Science in Information Technology from JNTU, Hyderabad, with a CGPA of 7.95.

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