• Project: Designing and developing cloud-based RESTful API microservices for FAWKES and Next Gen Firewall (NGFW)

• Led the cross-functional collaboration with peers and development of multiple enterprise-level scalable distributed systems driving $700M of revenue every year using the latest technologies of Golang, NodeJs, Python, PHP, GCP, JS, TypeScript, MySQL, and Redis.

• Designed and implemented APIs with capability of authorization, authentication, certificate management, encryption, logging, monitoring, alerting, triaging, and deployment that serves about 1M requests daily with 99.99% uptime and 55% reduced latency.

• Led the development of several crucial components like Go-based API framework, Jest-based unit testing framework, Node-based readiness check package , configuring alarms and dashboards that speeded up the development process by 10X.

• Regular participation in critical thinking for problem solving, code and system health check, diagnosis, resolution, code reviews to ensure best practices, code optimization, prioritization, and documentation contributing to 60% reduction in production errors.

• Collaborated with Pentest team to drive threat modeling, harden APIs across 20+ microservices, prevent injection attacks (XSS/ SQL/ XPath), remediating 1500+ CVEs, fix auth flaws, profiling memory risks, and enforcing security standards across the development lifecycle.

• Integrate AI/ML models (LLMs, Agents) in day to day user facing product development cycle speeding up the process by 500X.

Project: Build cloud-based RESTful API microservices for Next-Generation Firewall (NGFW)

Developing firewall security-related REST APIs with full capability of authorization, authentication,

json-xml conversion, unit testing, debugging, and production deployment. of microservice.

• Solving different development problems using advanced data structures and algorithms.

• Developing a Go-based API framework with full support of end-to-end unit testing.

• Designing industry-level large-scale system infrastructure design, performance monitoring, and maintaining the developer GCP environment to support a full-fledged running platform.

• Participating in code reviews to ensure standard, efficient, accurate, and testable code with proper

documentation.

• Prioritizing product or system bugs/issues and debugging, tracking, and resolving them by trou-

bleshooting end-to-end and assessing their impact.

• Participating in designing critical security features, standardization, microservice design, micro-

project planning, cross-communication, and collaboration with teams to support business needs and

profitability.

My research interest is Cyber Security using Machine Learning, Data Mining, and NLP. More specifically, I studied Online Security Forums and GitHub to identify hackers, malware source code, and alarming patterns using ML and NLP techniques.

WebKit Security and Compatibility Team.

• Project: Proposed an ML-based model to prevent website URL tracking.

• Suggested, collected, and synthesized requirements and created effective feature roadmaps.

• Adapted standard machine learning methods to best exploit modern parallel environments.

• Developed highly scalable classifiers leveraging machine learning, data regression, and rules-based

models.

• Collaborated with the Safari Browser, DevOps, and ML model Deployment engineering team to work

with real data

Developed an efficient and accurate building temperature simulator from scratch using Python and Matlab.

Project: Proposed a novel method for Mob Map Inference from Thermal Modeling of a Building.

Under Submission in Physical Review X, Nature.