Aug 2025 – Present · 10 mos

• As a Technical Lead, I architected and scaled mission-critical, cloud-native systems for a multi-million dollar Retail Heavy Equipment marketplace. My focus has been on integrating AI-driven automation and robust security frameworks to drive revenue and compliance.
• Key Innovations & Architecture:
• AI-Driven Image Curation System: Designed a scalable event-driven architecture using Kafka and Kubernetes to automate the moderation of 200k+ monthly images. By leveraging AWS Rekognition, I implemented automated filtering of sensitive PII (driver's licenses, contracts) and inappropriate content, processing a 3M image backlog in just 4 days. This directly improved conversion rates and boosted equipment sales by 30%.
• Secure Payment Orchestration: Engineered a PCI-compliant (SAQ A) Merchant-Initiated Transaction (MIT) system using Flask and SlimCD. By implementing card-on-file tokenization and L4 encryption, I ensured raw card data never touched our servers, reducing risk while increasing checkout efficiency and sales by 40% for returning customers.
• Secure Data & Document Management: Mitigated high-risk vulnerabilities by architecting a Standalone Secure Data Service in EKS. I implemented Envelope Encryption (AES-256-GCM) via AWS KMS and built a tamper-evident audit trail using cryptographic signing. Additionally, I moved document storage to a private VPC architecture with AWS GuardDuty Malware Protection, utilizing S3 Pre-signed URLs to eliminate backend bottlenecks.
• Immutable Record Compliance: Designed an asynchronous, serverless pipeline using AWS SQS and Lambda to generate legally defensible PDF snapshots of credit applications, ensuring end-to-end encryption for sensitive L4 data.

Aug 2023 – Jul 2025 · 1 yr 11 mos

• In this role, I balanced high-scale backend engineering with organizational leadership, focusing on database performance, cloud migrations, and team mentorship.
• Technical Milestones:
• Event-Driven Inventory Management: Designed an equipment management feature for a heavy-retail client using Snowflake, S3, and SQS. This solution automated the synchronization of 100k+ items to Shopify via GraphQL APIs, replacing manual Excel uploads and increasing equipment sales by 50%.
• High-Scale DB Migration: Led a 3-member team in migrating a Telecom SaaS product from DynamoDB to MongoDB. I architected a multi-sharded MongoDB environment capable of 12,000 TPS with non-blocking I/O. This strategic move improved application performance by 2x and reduced infrastructure costs by 10x.
• EduTech Roster & LMS Integration: Led the design of a roster management feature based on OneRoster APIs. I spearheaded the investigation into LTI 1.3 standards, demonstrating secure tool launch flows via OAuth within major Learning Management Systems.
• Enterprise Security: Enhanced system security by designing SSO features and improved production observability by refining CloudWatch alarms and X-Ray tracing for a distributed Reactive Spring application.
• Infrastructure automation: Spearheaded a 3 member team to build fully automated, scalable AWS infrastructure for a client using Chef and Terraform, provisioning 800 EC2 servers and achieving a 100% improvement in resource provisioning speed - dramatically reducing the client's infrastructure setup time and operational overhead.
• Leadership & Impact:
• Mentorship: Managed and trained a cohort of 40 interns in Backend development and AWS domains.
• Team Growth: Led cross-functional teams of 4–8 developers, managing estimations, code reviews, and production on-call rotations.

Jul 2022 – Aug 2023 · 1 yr 1 mo

• Successfully led a cross-functional team in the successful delivery of a high-value feature for a JIRA Addon Product, catering to both Data Center and Cloud Versions.
• Architected and executed a robust Disaster Recovery Solution for an Edu-Tech client, harnessing Infrastructure as Code (IAC) technologies such as Terraform.
• Transformed an entire manually-deployed AWS Infrastructure into a streamlined Terraform Automation, drastically reducing deployment time to mere minutes. This transformation significantly enhanced client satisfaction and value.
• Leveraged tools like Terraformer to meticulously reverse-engineer the complete AWS Infrastructure, laying the foundation for the creation of the Disaster Recovery solution.
• Engineered and put into operation a near real-time data recovery mechanism for AWS Aurora RDS DB clusters, strategically utilizing the concept of global database replication.
• Devised and delivered an optimal Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for the client, leading to a substantial increase in their overall business resilience.
• Pioneered the implementation of a custom-designed Drift detection mechanism tailored for Infrastructure Automation, ensuring alignment with intended configurations and settings.

Jul 2021 – Aug 2022 · 1 yr 1 mo

• Worked on an Atlassian JIRA Cloud and Data Center Plugin with thousands of users using the product actively.
• Managed the product from end to end with designs, estimation, development and release.
• Led the team of 2 devs, assigning them tasks and handling code reviews.
• Handled customer talks for any product related issue.
• Overcame the challenges of learning the Atlassian development environment.
• Used Atlassian Connect Framework and AngularJS to handle the JIRA Cloud Addon development.
• Used Atlassian P2 Plugin Framework and Java to handle the JIRA Data Center Plugin development.
• Used Spring Framework to develop the Backend.
• Worked with many AWS Services like VPC, EC2, IAM Policies, S3, Elastic Beanstalk, RDS, KMS, CloudFront, and Lambda.
• Worked on developing a chrome extension that highlights grammar mistakes on google docs.
• Understood the chrome extension development ecosystem.
• Application developed using ReactJS.
• Worked on different functionality like CRUD, Searching and highlighting the violation.
• Optimized the performance of document scans with web request interceptors.
• Redefined the extension action popup and refactored the content script and background script to accommodate different functionalities.
• Worked on a workforce management application with AngularJS frontend and Spring framework on the backend and deployed on an on-premise server with JBoss.
• Upgraded the different functionalities for user management.
• Refactored the backend to use LDAP to connect to the Microsoft Active Directory to store user management changes.
• Upgraded the deployment bash scripts.
• Used docker to speed up local development.

Jan 2021 – Jun 2021 · 5 mos

• Contributed to the development of an AWS compliance validation tool, utilizing a serverless architecture to leverage various AWS services for rule validation and best practice checks. The application, constructed using ReactJS and the Serverless framework, generates compliance reports with S3 Pre-Signed URLs. Key AWS components employed include API Gateway, IAM policies, S3, Lambda, and Step Functions.
• Took an active role in building a comprehensive service-oriented website employing ReactJS and Spring Boot. Implemented secure user authentication and authorization using AWS Cognito in tandem with Spring Security. Leveraged AWS RDS and Spring Data JPA for seamless database interaction. The backend component was deployed on AWS Elastic BeanStalk, while the React application found its place on static S3 hosting, powered by AWS CloudFront.
• Engaged in the Kickdrum University program, seizing the opportunity to deepen my expertise in both Frontend and Backend technologies, alongside gaining proficiency in AWS services.