▹ Designed and developed STN-AI to triage & research active threats and advise next steps based on client-specific escalation procedures, improving mean time to respond (MTTR) by 25%.

▹ Responded and mitigated active threats from SIEM and sentinel solutions during SOC shifts for 14+ clients.

▹ Visualized and built STN-Assistant, a personal assistant for STN employees to delegate simple tasks and improve work efficiency by 15%.

▹ Automated data aggregation and ticketing system, to eliminate manual tracking and increase efficiency by 2%.

▹ Performed micro-segmentation of network for 6 clients, by monitoring traffic and creating rules at the workstation level which strengthened the security and improved resilience of the environment.

▹ Built a custom FIX data compare tool to detect errors in millions of records for successful migration and testing.

▹ Modelled and architect a fuzzy-duplicate contact detector to establish entity resolution among multiple user databases.

▹ Converted legacy Perl database connection stub into a python-based RESTful service to communicate with multiple databases and serve as backbone for 500+ QA test cases. [Tech-Stack: Python, FIX Data, Perl, SQL, pyodbc, FastAPI, Informix, RedHat].

▹ Contributed to Android Deep Link Improvement Project with the goal of simplifying legacy code and cobbled abstraction impacting over 200 million daily users.

▹ Created an RFC (Request for Comments) to collaborate and collect feedback to work out the most efficient approach for Deep Link Interceptor Ordering Architecture and API Design. Implemented required framework using annotation processing and Twitter’s underlying framework to provide developer abstraction leading to minimum overheads.

▹ Presented the final project in the android contributors meeting having 80+ participants.

▹ Graduate Course Assistant to Prof. Mazdak Zamani for CSCI-GA.3205-001 Applied Cryptography & Network Security.

▹ Curated new sets of assignments and advised on course structuring and checkpoints.