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Jatangi ThanujaJT
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Jatangi Thanuja

@jatangithanuja

Software engineer at DevRev who analyzed AI agent failures and standardized trace summaries, with QA automation experience at Rexera.

India
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At DevRev, via MountBlue Technologies, I analyzed AI agent traces to identify failures such as wrong tool choices, incorrect parameters, made-up data, and incomplete retrieval. I also contributed to Enterprise-Bench and created a reusable skill that posts standardized failure summaries, pass@10 accuracy, and verdicts.

I implemented dataset integrity checks and a GitHub Actions workflow for benchmark data changes, which the AI benchmarking team adopted. I also integrated Microsoft Copilot and Salesforce Agentforce into benchmark runs and compared their tool choices and data retrieval.

At Rexera, via MountBlue Technologies, I developed Python Playwright automation for critical web workflows and built a weekly regression suite to validate functionality after deployments. In a personal project, I built an HR policy RAG assistant with hybrid search and evaluated its retrieval and answers using RAGAS.

Experience

Work history, roles, and key accomplishments

MountBlue Technologies logoMT

Software Engineer Trainee - Frontend Training

MountBlue Technologies

May 2025 - Aug 2025 (3 months)

Completed frontend training as part of the software engineering trainee program.

RE

Software Development Engineer - Test Automation

Rexera

Jul 2024 - Feb 2025 (7 months)

Developed end-to-end Playwright automation in Python for critical web application workflows. Built an automated weekly regression suite that validates functionality after each deployment, reducing manual QA effort.

MountBlue Technologies logoMT

Software Engineer Trainee - Testing Training

MountBlue Technologies

Apr 2024 - Jul 2024 (3 months)

Completed testing training as part of the software engineering trainee program.

Education

Degrees, certifications, and relevant coursework

Rajiv Gandhi University of Knowledge Technologies (RGUKT) logoRR

Rajiv Gandhi University of Knowledge Technologies (RGUKT)

B.Tech, Computer Science and Engineering

Grade: 8.3/10

Graduated with a B.Tech in Computer Science and Engineering, achieving a CGPA of 8.3 out of 10.

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