About Me
Software Engineer with 7+ years specialising in threat intelligence, data pipelines, and cloud-native systems. At Google, I've contributed to darknet intelligence collection from the ground up — building core systems, growing target coverage, and progressively automating high-friction engineering workflows using LLM agents. Most recently, I built an agentic observability system using Looker and BigQuery agents that brings structured debugging to collection pipelines. I work best when there's ambiguity to resolve and cross-functional coordination to drive.
Experience
- Ensured zero-downtime operational continuity during the Mandiant-Google acquisition by scaling the threat intelligence collection platform with new data sources and targeted reliability improvements.
- Eliminated a high-friction manual workflow by architecting and deploying an LLM-agent-driven code generation system, reducing related engineering efforts by 70%.
- Reduced code duplication by nearly 30% across the system by designing and implementing a centralized, custom library.
- Achieved real-time issue detection and triage across collection pipelines by architecting a proactive observability system powered by Looker and BigQuery agents.
- Slashed manual monitoring and debugging overhead by 75% by designing and implementing an autonomous agentic pipeline.
- Built a CLI automation tool in Python, Bash, and Terraform to streamline VM provisioning across multi-cloud environments, integrated with a React dashboard for centralized infrastructure management.
- Stepped up as interim engineering lead — owned code reviews, coordinated releases, and unblocked UI feature deliveries during a critical project phase.
- Led a zero-downtime migration from NoSQL to SQL for the core product database, improving query performance and data consistency for production workloads.
- Designed and shipped high-performance Go APIs enabling cross-team collaboration between UI and ML departments, reducing integration lag across teams.
- Guided multiple clients through Kubernetes and Helm-based cloud-native migrations, providing hands-on technical leadership on container orchestration and workload transition.
- Engineered high-throughput web crawlers in Python/Scrapy to automate large-scale data collection with optimized resource utilization.
- Integrated Dialogflow-based conversational interfaces to bridge automated data pipelines with customer-facing workflows.
- Drove R&D efforts to prototype new product features, several of which were adopted into the product roadmap.
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.
Skills
Certifications
- 2024Mandiant 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.
Education
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M4 4h16c1.1 0 2 .9 2 2v12c0 1.1-.9 2-2 2H4c-1.1 0-2-.9-2-2V6c0-1.1.9-2 2-2z"/><polyline points="22,6 12,13 2,6"/></svg>)
hire.gaurav@raheja.dev ![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 18.92z"/></svg>)
+91 90179-20586 ![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-2-2 2 2 0 0 0-2 2v7h-4v-7a6 6 0 0 1 6-6z"/><rect x="2" y="9" width="4" height="12"/><circle cx="4" cy="4" r="2"/></svg>)
linkedin.com/in/this-is-r-gaurav ![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M9 19c-5 1.5-5-2.5-7-3m14 6v-3.87a3.37 3.37 0 0 0-.94-2.61c3.14-.35 6.44-1.54 6.44-7A5.44 5.44 0 0 0 20 4.77 5.07 5.07 0 0 0 19.91 1S18.73.65 16 2.48a13.38 13.38 0 0 0-7 0C6.27.65 5.09 1 5.09 1A5.07 5.07 0 0 0 5 4.77a5.44 5.44 0 0 0-1.5 3.78c0 5.42 3.3 6.61 6.44 7A3.37 3.37 0 0 0 9 18.13V22"/></svg>)
github.com/this-is-r-gaurav ![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 10c0 7-9 13-9 13s-9-6-9-13a9 9 0 0 1 18 0z"/><circle cx="12" cy="10" r="3"/></svg>)
Pune, India Gaurav
Software Engineer with 7+ years specialising in threat intelligence, data pipelines, and cloud-native systems. At Google, I've contributed to darknet intelligence collection from the ground up — building core systems, growing target coverage, and progressively automating high-friction engineering workflows using LLM agents. Most recently, I built an agentic observability system using Looker and BigQuery agents that brings structured debugging to collection pipelines. I work best when there's ambiguity to resolve and cross-functional coordination to drive.
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><rect x="2" y="7" width="20" height="14" rx="2" ry="2"/><path d="M16 21V5a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v16"/></svg>)
Work Experience
- Ensured zero-downtime operational continuity during the Mandiant-Google acquisition by scaling the threat intelligence collection platform with new data sources and targeted reliability improvements.
- Eliminated a high-friction manual workflow by architecting and deploying an LLM-agent-driven code generation system, reducing related engineering efforts by 70%.
- Reduced code duplication by nearly 30% across the system by designing and implementing a centralized, custom library.
- Achieved real-time issue detection and triage across collection pipelines by architecting a proactive observability system powered by Looker and BigQuery agents.
- Slashed manual monitoring and debugging overhead by 75% by designing and implementing an autonomous agentic pipeline.
- Built a CLI automation tool in Python, Bash, and Terraform to streamline VM provisioning across multi-cloud environments, integrated with a React dashboard for centralized infrastructure management.
- Stepped up as interim engineering lead — owned code reviews, coordinated releases, and unblocked UI feature deliveries during a critical project phase.
- Led a zero-downtime migration from NoSQL to SQL for the core product database, improving query performance and data consistency for production workloads.
- Designed and shipped high-performance Go APIs enabling cross-team collaboration between UI and ML departments, reducing integration lag across teams.
- Guided multiple clients through Kubernetes and Helm-based cloud-native migrations, providing hands-on technical leadership on container orchestration and workload transition.
- Engineered high-throughput web crawlers in Python/Scrapy to automate large-scale data collection with optimized resource utilization.
- Integrated Dialogflow-based conversational interfaces to bridge automated data pipelines with customer-facing workflows.
- Drove R&D efforts to prototype new product features, several of which were adopted into the product roadmap.
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polygon points="12 2 15.09 8.26 22 9.27 17 14.14 18.18 21.02 12 17.77 5.82 21.02 7 14.14 2 9.27 8.91 8.26 12 2"/></svg>)
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
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="8" r="7"/><polyline points="8.21 13.89 7 23 12 20 17 23 15.79 13.88"/></svg>)
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.
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>)
Skills
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M4 19.5A2.5 2.5 0 0 1 6.5 17H20"/><path d="M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z"/></svg>)
Education
![](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="%2376b041" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"/><line x1="2" y1="12" x2="22" y2="12"/><path d="M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z"/></svg>)
Languages