Gaurav
Software Engineer
About Me
Full Stack Software Engineer with a focus on building resilient, scalable systems across UI, Backend, and DevOps. Proven track record in leading cross-functional teams and delivering high-impact solutions in Threat Intelligence Collection. Actively exploring opportunity in Threat Intelligence domain
Experience
- Architected and optimized high-scale threat activity collection configurations across diverse dark web sources, significantly improving data ingestion reliability and coverage.
- Established robust monitoring and alerting strategies for system health, reducing incident response times and ensuring high availability of critical collection services.
- Led the design and implementation of next-generation collection systems, managing the seamless migration of legacy targets with zero data loss.
- Partnered with research teams to translate complex technical metrics into actionable product insights, driving data-informed improvements for global collection targets.
- Engineered custom configurations for legacy systems to expand on-boarding capabilities for critical darknet intelligence targets.
- Maintained and optimized legacy systems, resolving deep-seated bugs to ensure operational continuity and successful target integration.
- Developed a comprehensive CLI automation tool using Python, Bash, and Terraform to streamline VM provisioning; integrated with a React-based dashboard to centralize infrastructure management.
- Demonstrated technical leadership by managing UI feature deliveries and complex bug resolutions, acting as interim lead to oversee code reviews and release stability.
- Played a key role in a critical database migration from NoSQL to SQL, ensuring data consistency and optimizing query performance for the core backend.
- Designed and implemented high-performance Backend APIs in Go, facilitating cross-team collaboration between UI and ML departments to deliver cohesive product features.
- Enabled client-side cloud-native transitions by leading Kubernetes and Helm deployments, providing technical guidance on container orchestration and workload migration.
- Engineered cost-effective, high-throughput web crawlers to automate large-scale data collection, optimizing resource utilization.
- Improved user engagement by integrating Dialogflow interfaces, bridging the gap between automated systems and customer needs.
- Conducted strategic R&D to identify and prototype innovative features, directly contributing to product evolution and roadmap growth.
Skills
Open Source
Enhanced Helm Chart flexibility for single-node installations, enabling support for custom secret management. Pull Request #327.
Improved API usability by auditing and correcting critical function documentation. Pull Request #1734.
Systemically resolved issues with Snapcraft autocompletion to improve developer productivity. Pull Request #1189.
Maintained repository integrity by resolving broken documentation links and cross-references. Pull Request #287, #288.
Optimized Docker build workflows to resolve environment-specific compilation issues. Pull Request #253.
Projects
Academic
Architected a no-code web scraping platform featuring a GUI for crawler creation and mobile-based deployment, simplifying data extraction for non-technical users.
Developed a medical prescription analysis tool that identifies drugs and cross-references them with online alternatives via 3rd-party APIs to improve medication accessibility.
Engineered an IoT-based vehicular safety system using Arduino and ultrasonic sensors for proximity detection, automatic speed control, and SOS emergency messaging.
Designed and implemented a centralized university portal to streamline the management and communication of academic events, training sessions, and placement drives.
Education
Languages
Certifications
- Mandiant Cyber Threat Intelligence AnalystMandiant
Demonstrated proficiency in threat intelligence frameworks, including STIX and the Diamond Model, to streamline workflows and improve structural analysis of cyber threats.
Gaurav
SOFTWARE ENGINEER
Full Stack Software Engineer with a focus on building resilient, scalable systems across UI, Backend, and DevOps. Proven track record in leading cross-functional teams and delivering high-impact solutions in Threat Intelligence Collection. Actively exploring opportunity in Threat Intelligence domain
Work Experience
- Architected and optimized high-scale threat activity collection configurations across diverse dark web sources, significantly improving data ingestion reliability and coverage.
- Established robust monitoring and alerting strategies for system health, reducing incident response times and ensuring high availability of critical collection services.
- Led the design and implementation of next-generation collection systems, managing the seamless migration of legacy targets with zero data loss.
- Partnered with research teams to translate complex technical metrics into actionable product insights, driving data-informed improvements for global collection targets.
- Engineered custom configurations for legacy systems to expand on-boarding capabilities for critical darknet intelligence targets.
- Maintained and optimized legacy systems, resolving deep-seated bugs to ensure operational continuity and successful target integration.
- Developed a comprehensive CLI automation tool using Python, Bash, and Terraform to streamline VM provisioning; integrated with a React-based dashboard to centralize infrastructure management.
- Demonstrated technical leadership by managing UI feature deliveries and complex bug resolutions, acting as interim lead to oversee code reviews and release stability.
- Played a key role in a critical database migration from NoSQL to SQL, ensuring data consistency and optimizing query performance for the core backend.
- Designed and implemented high-performance Backend APIs in Go, facilitating cross-team collaboration between UI and ML departments to deliver cohesive product features.
- Enabled client-side cloud-native transitions by leading Kubernetes and Helm deployments, providing technical guidance on container orchestration and workload migration.
- Engineered cost-effective, high-throughput web crawlers to automate large-scale data collection, optimizing resource utilization.
- Improved user engagement by integrating Dialogflow interfaces, bridging the gap between automated systems and customer needs.
- Conducted strategic R&D to identify and prototype innovative features, directly contributing to product evolution and roadmap growth.
Open Source Contributions
- Enhanced Helm Chart flexibility for single-node installations, enabling support for custom secret management. Pull Request #327.
- https://github.com/timescale/helm-charts/pull/327
- Improved API usability by auditing and correcting critical function documentation. Pull Request #1734.
- https://github.com/Chevotrain/chevotrain/pull/1734
- Systemically resolved issues with Snapcraft autocompletion to improve developer productivity. Pull Request #1189.
- https://github.com/httpie/httpie/pull/1189
- Maintained repository integrity by resolving broken documentation links and cross-references. Pull Request #287, #288.
- https://github.com/jenkinsci/kubernetes-operator
- Optimized Docker build workflows to resolve environment-specific compilation issues. Pull Request #253.
- https://github.com/taspinar/twitterscraper/pull/253
Projects
Architected a no-code web scraping platform featuring a GUI for crawler creation and mobile-based deployment, simplifying data extraction for non-technical users.
Developed a medical prescription analysis tool that identifies drugs and cross-references them with online alternatives via 3rd-party APIs to improve medication accessibility.
Engineered an IoT-based vehicular safety system using Arduino and ultrasonic sensors for proximity detection, automatic speed control, and SOS emergency messaging.
Designed and implemented a centralized university portal to streamline the management and communication of academic events, training sessions, and placement drives.
Certification
Demonstrated proficiency in threat intelligence frameworks, including STIX and the Diamond Model, to streamline workflows and improve structural analysis of cyber threats.