Part of WhatsApp Android engineering team, developing and optimizing calling and real-world networks used by more than 2 Billion global users.

Collaborating with cross-functional teams across product, design, and infra to ship high-quality features.

• Developed an Agentic system with topic-specific regulatory compliance agents and intelligent query routing. Utilized semantic vector search on PostgreSQL for financial regulation analysis.

• Built a Version-tracking platform for regulatory and compliance changes, enabling users to understand complex business logic for each reporting field, leveraging Neo4j, Angular, Spring.

• Developed AWS data migration pipelines, using Python for classification, reconciliation & transfer to the cloud.

• Optimized logging and monitoring by introducing ELK stack, reducing query response time from 2 hrs to mins.

Worked on SPECT & SPEBT imaging algorithms. Implemented Computational Model and Imaging using C++ and CUDA.

• Designed workflow orchestration using Directed Acyclic Graphs (DAGs) to model tasks such as translations, lookups, and filters. Built a custom topological sorting algorithm to optimize API call sequencing, improving runtime performance by 65%.

• Developed and maintained a Spring-based reconciliation platform with a dynamic, Angular 8-driven UI, enabling flexible workflow configuration for end-users.

• Built a Parallel Executor to concurrently handle API calls and DB2 SQL queries, significantly enhancing processing speed for high-volume workflows.

• Automated and standardized production job management by organizing and scripting over 15,000+ Autosys jobs using Python, Bash, and Perl, improving auditing and reliability across environments.

• Mentored and trained interns on Data Structures and Algorithms.