
Lenaigk developed a command-line tool in the repo “py-llama-cpp-server” that streamlines the process of running Llama.cpp models as a local server. The project focused on providing a simple interface for model management and inference, leveraging Python for orchestration and subprocess control while integrating with C++ backends for performance. Lenaigk implemented robust argument parsing and error handling to ensure reliability across different environments. The tool addressed the need for accessible local deployment of large language models, allowing users to interact with models via HTTP endpoints. The work demonstrated depth in cross-language integration and practical application of server-side Python development.

February 2026 monthly summary for SEKOIA-IO/intake-formats. Key work focused on improving data ingestion reliability, observability, and test quality. Delivered enhancements to email ingestion, fixed attachment handling, and refined internal testing/configuration to boost maintainability and future velocity.
February 2026 monthly summary for SEKOIA-IO/intake-formats. Key work focused on improving data ingestion reliability, observability, and test quality. Delivered enhancements to email ingestion, fixed attachment handling, and refined internal testing/configuration to boost maintainability and future velocity.
Monthly summary for 2026-01 focused on delivering reliable intake-format parsing enhancements and clean test data for ongoing quality improvements. Delivered targeted enhancements in ArubaOS log parsing and strengthened test coverage to validate port status messages, alongside structural and linting improvements to test data. Impact: improved observability and reliability of log-based parsing for ArubaOS, reduced linting-related CI failures, and strengthened test data quality for ongoing development in the intake-formats repository (SEKOIA-IO/intake-formats).
Monthly summary for 2026-01 focused on delivering reliable intake-format parsing enhancements and clean test data for ongoing quality improvements. Delivered targeted enhancements in ArubaOS log parsing and strengthened test coverage to validate port status messages, alongside structural and linting improvements to test data. Impact: improved observability and reliability of log-based parsing for ArubaOS, reduced linting-related CI failures, and strengthened test data quality for ongoing development in the intake-formats repository (SEKOIA-IO/intake-formats).
December 2025 monthly summary for SEKOIA-IO/intake-formats. Focused on delivering parser enhancements and visibility improvements across CrowdStrike Falcon, Unbound DNS, and Cisco ISE. Key outcomes include expanded firewall and DNS event parsing, smarter event descriptions, updated tests, and lint fixes to improve reliability. Business value includes better incident triage, reduced manual effort, and more accurate security telemetry.
December 2025 monthly summary for SEKOIA-IO/intake-formats. Focused on delivering parser enhancements and visibility improvements across CrowdStrike Falcon, Unbound DNS, and Cisco ISE. Key outcomes include expanded firewall and DNS event parsing, smarter event descriptions, updated tests, and lint fixes to improve reliability. Business value includes better incident triage, reduced manual effort, and more accurate security telemetry.
November 2025 monthly summary: Delivered impactful data ingestion and parsing enhancements across SEKOIA-IO/intake-formats and improvements to automation-library. Key features include CyberArk Digital Vault automation module UUID addition with an accompanying BETA flag to indicate testing status, Infoblox DDI ingestion updated to process DHCPDISCOVER events with revised parser configuration, enhanced logging and tests, and Windows Event Parsing extended with a TransmittedServices field to capture services transmitted during Kerberos service ticket requests. In automation-library, the Operation Center API response validation tests were strengthened with explicit expected responses and corrected test data typos. Major bugs fixed and quality improvements included linting improvements, corrected smart descriptions, and test data typo fixes, resulting in more reliable releases and reduced debugging effort. Overall impact: improved data fidelity and visibility across ingestion pipelines, clearer maturity signals for automation features, and more robust API validation tests, enabling faster onboarding, reduced risk in production deployments, and stronger confidence in release readiness. Technologies/skills demonstrated: Python-based data ingestion and parsing, YAML manifest management, Windows event parsing, DHCP ingestion enhancements, test automation, linting, and test data hygiene.
November 2025 monthly summary: Delivered impactful data ingestion and parsing enhancements across SEKOIA-IO/intake-formats and improvements to automation-library. Key features include CyberArk Digital Vault automation module UUID addition with an accompanying BETA flag to indicate testing status, Infoblox DDI ingestion updated to process DHCPDISCOVER events with revised parser configuration, enhanced logging and tests, and Windows Event Parsing extended with a TransmittedServices field to capture services transmitted during Kerberos service ticket requests. In automation-library, the Operation Center API response validation tests were strengthened with explicit expected responses and corrected test data typos. Major bugs fixed and quality improvements included linting improvements, corrected smart descriptions, and test data typo fixes, resulting in more reliable releases and reduced debugging effort. Overall impact: improved data fidelity and visibility across ingestion pipelines, clearer maturity signals for automation features, and more robust API validation tests, enabling faster onboarding, reduced risk in production deployments, and stronger confidence in release readiness. Technologies/skills demonstrated: Python-based data ingestion and parsing, YAML manifest management, Windows event parsing, DHCP ingestion enhancements, test automation, linting, and test data hygiene.
October 2025 performance highlights: Delivered expanded data ingestion capabilities and parsing enhancements across SEKOIA-IO/intake-formats and SEKOIA-IO/automation-library, improving data fidelity, coverage, and maintainability. Key operational improvements include unified domain extraction across CrowdStrike parsing, ArubaOS LLDP parsing, Cisco ISE parsing, and richer VCenter event ingestion. Introduced a case listing action in the automation library and completed code quality improvements and privacy-focused test/documentation updates.
October 2025 performance highlights: Delivered expanded data ingestion capabilities and parsing enhancements across SEKOIA-IO/intake-formats and SEKOIA-IO/automation-library, improving data fidelity, coverage, and maintainability. Key operational improvements include unified domain extraction across CrowdStrike parsing, ArubaOS LLDP parsing, Cisco ISE parsing, and richer VCenter event ingestion. Introduced a case listing action in the automation library and completed code quality improvements and privacy-focused test/documentation updates.
September 2025 monthly summary for SEKOIA-IO/intake-formats: Delivered two key enhancements that boost data fidelity and operational reliability. Implemented Mimecast Email Security field additions to capture spam processing details and URL categorization data, enabling richer analytics and smoother downstream processing. Fixed CheckPoint NGFW parser to extract hostnames from originsicname, including CN=... formats, improving firewall hostname logging accuracy. These changes strengthen security telemetry across downstream systems and reduce data gaps, demonstrating proficiency in data modeling, parser hardening, and maintainable code changes.
September 2025 monthly summary for SEKOIA-IO/intake-formats: Delivered two key enhancements that boost data fidelity and operational reliability. Implemented Mimecast Email Security field additions to capture spam processing details and URL categorization data, enabling richer analytics and smoother downstream processing. Fixed CheckPoint NGFW parser to extract hostnames from originsicname, including CN=... formats, improving firewall hostname logging accuracy. These changes strengthen security telemetry across downstream systems and reduce data gaps, demonstrating proficiency in data modeling, parser hardening, and maintainable code changes.
August 2025 monthly summary for SEKOIA-IO/intake-formats focusing on delivering richer ingestion capabilities, broader parser coverage, and improved reliability. The work enhances detection fidelity and accelerates investigations by expanding field extraction, cleaning up ingestion surfaces, and fortifying log parsing across multiple sources.
August 2025 monthly summary for SEKOIA-IO/intake-formats focusing on delivering richer ingestion capabilities, broader parser coverage, and improved reliability. The work enhances detection fidelity and accelerates investigations by expanding field extraction, cleaning up ingestion surfaces, and fortifying log parsing across multiple sources.
July 2025 monthly performance summary for SEKOIA-IO/intake-formats focusing on security data ingestion enhancements, data quality improvements, and richer context for security investigations. Delivered multiple cross-repo parser enhancements, expanded event enrichment, and code quality improvements that collectively improve detection fidelity, incident response readiness, and analytics throughput.
July 2025 monthly performance summary for SEKOIA-IO/intake-formats focusing on security data ingestion enhancements, data quality improvements, and richer context for security investigations. Delivered multiple cross-repo parser enhancements, expanded event enrichment, and code quality improvements that collectively improve detection fidelity, incident response readiness, and analytics throughput.
June 2025 delivered meaningful business value by expanding coverage and improving data fidelity across Fortigate, Cloudflare, FreeRADIUS, Aruba and Infoblox integrations. Key features include Fortigate parser enhancements (including cfgattr parsing), Cloudflare event outcome handling, FreeRADIUS event.outcome field, Aruba LEEF support, and Infoblox DHCP extraction improvements. Additional quality gains were achieved through linting, smart descriptions updates, and authentication parsing improvements, supporting more reliable security analytics and faster incident response.
June 2025 delivered meaningful business value by expanding coverage and improving data fidelity across Fortigate, Cloudflare, FreeRADIUS, Aruba and Infoblox integrations. Key features include Fortigate parser enhancements (including cfgattr parsing), Cloudflare event outcome handling, FreeRADIUS event.outcome field, Aruba LEEF support, and Infoblox DHCP extraction improvements. Additional quality gains were achieved through linting, smart descriptions updates, and authentication parsing improvements, supporting more reliable security analytics and faster incident response.
May 2025 monthly summary focused on delivering clear, usable data intake formats and reliable log parsing for Cloudflare gateway_http and network security feeds. Key work centered on improving user-facing descriptions, standardizing parsing outputs, and increasing overall data quality and incident visibility. All work was performed in SEKOIA-IO/intake-formats and contributed directly to faster onboarding, fewer data interpretation questions, and more reliable alerting.
May 2025 monthly summary focused on delivering clear, usable data intake formats and reliable log parsing for Cloudflare gateway_http and network security feeds. Key work centered on improving user-facing descriptions, standardizing parsing outputs, and increasing overall data quality and incident visibility. All work was performed in SEKOIA-IO/intake-formats and contributed directly to faster onboarding, fewer data interpretation questions, and more reliable alerting.
April 2025 performance summary: Delivered high-value features and reliability improvements across SEKOIA-IO/intake-formats and SEKOIA-IO/automation-library, driving better data ingestion, attribution, and developer productivity. Notable outcomes include automated smart descriptions, standardized IOC handling, expanded log parsing coverage, identity/audit enrichment, and improved automation controls, supported by strengthened testing and linting.
April 2025 performance summary: Delivered high-value features and reliability improvements across SEKOIA-IO/intake-formats and SEKOIA-IO/automation-library, driving better data ingestion, attribution, and developer productivity. Notable outcomes include automated smart descriptions, standardized IOC handling, expanded log parsing coverage, identity/audit enrichment, and improved automation controls, supported by strengthened testing and linting.
March 2025: Delivered impactful features and reliability improvements across intake-formats and automation-library, enhancing data quality, security visibility, and maintainability. Key outcomes include improved ingestion accuracy for VMware vCenter, richer security context for Cisco ESA logs, and robust automation capabilities, backed by stronger code quality practices and test coverage.
March 2025: Delivered impactful features and reliability improvements across intake-formats and automation-library, enhancing data quality, security visibility, and maintainability. Key outcomes include improved ingestion accuracy for VMware vCenter, richer security context for Cisco ESA logs, and robust automation capabilities, backed by stronger code quality practices and test coverage.
Concise monthly summary for 2025-02 focused on delivering features and stabilizing ingestion pipelines in SEKOIA-IO/intake-formats. Key achievements include Identity Ingestion Enhancements for Azure AD and Office 365, Palo Alto NGFW Parser Enhancements, Smart Descriptions Improvements, OpenBSD Packet Filter Parser Enhancements, VMware vCenter and Login Filter Robustness, and SentinelOne container labels ingestion updates (addition and removal). The work improved data coverage, parsing reliability, and investigation capabilities, with a focus on business value and data quality. Technologies demonstrated include Azure AD/Office 365 data capture, Palo Alto NGFW parsing, OpenBSD parser improvements, ICMP and protocol handling, robust JSON filtering, and code quality improvements through linting and tests.
Concise monthly summary for 2025-02 focused on delivering features and stabilizing ingestion pipelines in SEKOIA-IO/intake-formats. Key achievements include Identity Ingestion Enhancements for Azure AD and Office 365, Palo Alto NGFW Parser Enhancements, Smart Descriptions Improvements, OpenBSD Packet Filter Parser Enhancements, VMware vCenter and Login Filter Robustness, and SentinelOne container labels ingestion updates (addition and removal). The work improved data coverage, parsing reliability, and investigation capabilities, with a focus on business value and data quality. Technologies demonstrated include Azure AD/Office 365 data capture, Palo Alto NGFW parsing, OpenBSD parser improvements, ICMP and protocol handling, robust JSON filtering, and code quality improvements through linting and tests.
January 2025 monthly summary for SEKOIA-IO/intake-formats: Delivered major enhancements to log parsing and data modeling, expanding vendor coverage and improving data quality, with significant reliability and developer productivity gains.
January 2025 monthly summary for SEKOIA-IO/intake-formats: Delivered major enhancements to log parsing and data modeling, expanding vendor coverage and improving data quality, with significant reliability and developer productivity gains.
December 2024 monthly summary for SEKOIA-IO/intake-formats: Delivered notable features and improvements across HarfangLab integration, DHCP data enrichment, and multi-source parser enhancements, improving data quality, reliability, and operational efficiency. Key outcomes include expanded field support, robust error handling, and code quality improvements that reduce maintenance overhead and speed up onboarding of new data sources.
December 2024 monthly summary for SEKOIA-IO/intake-formats: Delivered notable features and improvements across HarfangLab integration, DHCP data enrichment, and multi-source parser enhancements, improving data quality, reliability, and operational efficiency. Key outcomes include expanded field support, robust error handling, and code quality improvements that reduce maintenance overhead and speed up onboarding of new data sources.
November 2024 (2024-11): Delivered expanded data coverage and improved data quality for SEKOIA-IO/intake-formats while strengthening stability and maintainability. Key feature deliveries include enrichment of Microsoft 365 / Office 365 logs with operation properties, addition of new Winlogbeat events, and enhanced Vade Secure M365 parsing. Additional business value came from Google Report improvements adding source.ip and user.email fields. Ongoing code quality and reliability gains were achieved through extensive linting fixes and test stabilization across the repository, reducing noise and improving confidence in deployments. These efforts collectively improved data fidelity, broadened integration coverage, and accelerated incident detection while reducing operational risk.
November 2024 (2024-11): Delivered expanded data coverage and improved data quality for SEKOIA-IO/intake-formats while strengthening stability and maintainability. Key feature deliveries include enrichment of Microsoft 365 / Office 365 logs with operation properties, addition of new Winlogbeat events, and enhanced Vade Secure M365 parsing. Additional business value came from Google Report improvements adding source.ip and user.email fields. Ongoing code quality and reliability gains were achieved through extensive linting fixes and test stabilization across the repository, reducing noise and improving confidence in deployments. These efforts collectively improved data fidelity, broadened integration coverage, and accelerated incident detection while reducing operational risk.
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