intelowlproject/IntelOwl
Dec 2025 – Mar 2026
2 Months active
Languages Used
PythonBash
Technical Skills
API developmentPythonbackend developmenterror handlingDevOpsDjango
Arnav Vinod Deshpande
PROFILE
Arnav Vinod Deshpande
Contributed to the intelowlproject/IntelOwl repository by building flexible phishing analysis capabilities and improving development workflows. Developed a backend integration that allows users to choose between Selenium and Playwright for phishing detection, enhancing analysis coverage and adaptability. Improved developer productivity by replacing Watchman with django-watchfiles for automatic code reloading in Django, streamlining the feedback loop. Addressed two critical bugs affecting API reliability, including correcting the End-of-Life Date header and refining error message handling for better clarity. Demonstrated expertise in Python, backend development, and DevOps practices, with a focus on API stability, error handling, and maintainable code through collaborative problem-solving.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
799
Activity Months2
Your Network
19 peopleWork History
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for intelowlproject/IntelOwl focused on delivering flexible phishing analysis backend with Playwright and accelerating development workflow through automatic code reloading. Key outcomes include enabling users to switch between Selenium and Playwright for phishing analysis, and improving the development feedback loop by replacing Watchman with django-watchfiles. The changes drive business value by enhancing analysis coverage, reliability, and developer productivity. Minor quality fixes were addressed (lint, logging, and migration-related cleanup) to support maintainability.
2 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for intelowlproject/IntelOwl focused on delivering flexible phishing analysis backend with Playwright and accelerating development workflow through automatic code reloading. Key outcomes include enabling users to switch between Selenium and Playwright for phishing analysis, and improving the development feedback loop by replacing Watchman with django-watchfiles. The changes drive business value by enhancing analysis coverage, reliability, and developer productivity. Minor quality fixes were addressed (lint, logging, and migration-related cleanup) to support maintainability.
March 2026
December 2025
2 Commits
Dec 1, 2025December 2025 monthly summary for intelowlproject/IntelOwl: No new features released this month; two critical bug fixes delivered across core components, enhancing reliability, data integrity, and user experience. Key fixes: 1) End-of-Life Date header fixed to reflect the true end-of-life date rather than the deprecation date (commit 3347dc331af91c370adbcdce62671d6e1f9fe582). 2) InQuest: corrected error message variable reference to improve clarity and error handling (commit 4b4c9a7edf8b1a4ab13dcd611cd18063f4cdebff). These changes reduce the risk of misinterpretation and improve API stability. Collaboration with Daniele Rosetti on both fixes (co-authored commits). Overall impact: maintained system reliability, improved API correctness, and preserved trust with users. Technologies/skills demonstrated: debugging, API header handling, error message design, code review, and cross-team collaboration.
December 2025
2 Commits
Dec 1, 2025December 2025 monthly summary for intelowlproject/IntelOwl: No new features released this month; two critical bug fixes delivered across core components, enhancing reliability, data integrity, and user experience. Key fixes: 1) End-of-Life Date header fixed to reflect the true end-of-life date rather than the deprecation date (commit 3347dc331af91c370adbcdce62671d6e1f9fe582). 2) InQuest: corrected error message variable reference to improve clarity and error handling (commit 4b4c9a7edf8b1a4ab13dcd611cd18063f4cdebff). These changes reduce the risk of misinterpretation and improve API stability. Collaboration with Daniele Rosetti on both fixes (co-authored commits). Overall impact: maintained system reliability, improved API correctness, and preserved trust with users. Technologies/skills demonstrated: debugging, API header handling, error message design, code review, and cross-team collaboration.
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage45.0%
Skills & Technologies
Programming Languages
BashPython
Technical Skills
API developmentDevOpsDjangoDockerPlaywrightPythonPython Developmentbackend developmenterror handlingweb scraping
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