Sep 2025 – Present · 8 mos

• Built a core backend service from scratch using Go and GORM, now a foundational component of the platform
• Designed and implemented a cloud-native AWS architecture, focusing on scalability, reliability, and operational excellence
• Led canary deployment strategy to ensure zero-disruption transitions for customers during rollout and upgrades
• Own a high-throughput production service handling 300K+ API requests per day
• Developed RESTful APIs following strong REST principles and backward-compatibility practices
• Implemented end-to-end observability using OpenTelemetry (OTEL) metrics to monitor API latency, throughput, and system performance
• Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling safe, automated deployments
• Collaborated closely with product, customer success, and stakeholders to translate real customer needs into reliable technical solutions

Mar 2025 – Sep 2025 · 6 mos

• Built and scaled automated integrations using TypeScript, enabling seamless connectivity with multiple enterprise platforms
• Designed and implemented high-throughput data ingestion workflows, capable of pulling and processing 5–6 million records per day
• Developed resilient pipelines to normalize, validate, and route large volumes of external data across internal services
• Implemented REST-based integration APIs with a focus on reliability, idempotency, and failure handling
• Worked closely with cloud-native services on AWS to support burst-heavy ingestion and large-scale processing
• Improved integration reliability and observability by adding structured logging, metrics, and alerting
• Collaborated with product, customer success, and platform teams to onboard new integrations and ensure smooth customer adoption

Oct 2024 – Feb 2025 · 4 mos

• Built and owned enterprise-grade integrations connecting SAFE with leading security and cloud platforms, including CrowdStrike, Microsoft Defender for Endpoint, Armis, Prisma Cloud, Wiz, Orca, and others
• Designed and developed scalable, cloud-native connectors to ingest and process large volumes of security data from external systems
• Architected and deployed integration services on AWS ECS Fargate, leveraging Docker containers for isolation, portability, and reliability
• Used AWS Lambda for event-driven workflows and lightweight processing where appropriate
• Implemented auto-scaling strategies across ECS and Lambda to handle variable workloads and burst traffic efficiently
• Ensured high availability, fault tolerance, and performance for integrations used by enterprise customers
• Worked closely with product, customer success, and partner teams to onboard new integrations and support real-world customer use cases
• Gained deep hands-on experience with AWS infrastructure, distributed systems, and large-scale data ingestion

Oct 2023 – Sep 2024 · 11 mos

• 🔵Developed and automated customer-facing solutions with Python
• 🔵Automated risk quantification for customers with integration developed using Typescript and AWS services like Lambda, ECS, API Gateway, S3, EC2, and more.
• 🔵 Successfully delivered project's critical work for smooth business growth.

May 2022 – Sep 2023 · 1 yr 4 mos

• SAFE is a SaaS startup that focuses on CRQ (Cyber Risk Quantification).
• 🔵 Resolved customer's technical issues.
• 🔵 Worked on python scripts that execution via Slack with tool like Opsbeacon.
• 🔵 Developed Jenkins pipelines to automate many manual processes.
• 🔵 Use API's to develop scripts for customers and internal use cases saving hours of manual work.