Chirantan Beura
@chirantanbeura
Project intern building AI-powered automation for secure platforms, reducing triage and reporting time.
What I'm looking for
I’m currently a Project Intern at Oracle, where I built a Python CLI tool for enterprise log triage. I normalized multi-format UTC timestamps and used regex-based per-use-case pattern detection (Suricata, ClamAV, Network, Upgrade, Syncentities) to cut average log triage time by ~70% and enable same-day root-cause identification for edge onboarding failures.
I also focus on security and operational resilience. I evaluated and prototyped HashiCorp Vault to OpenBao migration for IoT Edge Agent secret management, validated 10+ critical Vault/OpenBao APIs, and implemented a secure break-glass root-token workflow using unseal-key quorum instead of storing long-lived root tokens.
In parallel, I’ve built AI-powered remediation workflows to remove manual, time-consuming vulnerability analysis. My Fortify remediation automation generates RCA, performs TP/FP classification, creates Jira issues, updates GitLab branches and MR metadata, and captures 100% trace-node evidence with 0–100 confidence scoring.
I’ve extended this automation mindset beyond security work—at ISRO I processed and analyzed 50GB+ of multi-spectral satellite images for land cover classification/segmentation using GIS tooling like QGIS and ArcGIS, and I’ve developed an agentic menstrual health assistant (Sakkhi) with HuggingFace and configurable prompt templates, cycle tracking, and Indian-language support.
Experience
Work history, roles, and key accomplishments
Built a Python CLI for enterprise log triage with multi-format UTC timestamp normalization and regex-based pattern detection, reducing average log triage time by ~70% and enabling same-day root-cause identification for edge onboarding failures. Automated Fortify remediation (RCA generation, TP/FP classification, Jira/MR creation) and Jira sprint reporting via an MCP-powered Codex CLI assistant, im
Summer Research Intern
ISRO Regional Academic Centre for Space
May 2024 - Nov 2024 (6 months)
Processed and analyzed 50GB+ of multi-spectral satellite images (TIFF) for land cover classification and segmentation, serving as a prototype aligned to ISRO's 5-year live project to improve land cover classification by up to 5%. Implemented advanced image-processing techniques including HE and CLAHE using GIS tooling (QGIS, ArcGIS).
Education
Degrees, certifications, and relevant coursework
International Institute of Information Technology, Bhubaneswar
Bachelor of Technology, Information Technology
2022 - 2026
Grade: 7.98 (7th Sem)
Bachelor of Technology in Information Technology at IIIT Bhubaneswar (2022–2026). Grade: 7.98 (7th Sem).
Availability
Location
Authorized to work in
Job categories
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