* Led a 0→1 org-wide effort across 10+ engineers to build an user intent-based marketing messaging product with LLM personalization, reaching $10M ARR in its first year.

* Spearheaded an org-wide, multi-quarter AI initiative to launch Attentive’s first real-time ML serving system for message-level ROI and opt-out prediction, delivering $8M+ in projected annual impact.

*Delivered dynamic high-volume coupon generation (up to 1M codes per client), eliminating manual CSV workflows and saving 100+ client hours/month, while partnering with 2+ cross-functional teams to close a major competitive gap.

* Led a cross-functional initiative across 4+ teams to improve system scalability, reliability, and fault tolerance, achieving 99.99% availability, supporting 10K QPS, and scaling to 1.5M messages/day during a successful BFCM

Joined as the third founding engineer, helped in building an e-commerce marketing platform from the ground up (0-1) and ultimately scaling the product(1-N) to achieve multi million ARR.

* Architected and implemented the messaging-as-a-service facilitating communication for multiple brand users using distributed systems processing over 1 million messages daily while maintaining a 99.99% reliability rate.

* Led 2+ teams in the development of a workflow product that orchestrated and streamlined campaign-critical tasks. This initiative not only helped scale the number of campaigns tenfold but also reduced campaign completion time by 30%..

* Designed and implemented automation-as-a-service platform, streamlining custom workflows which reduced manual interventions by 60% when collaborating with a creator in a campaign. Worked closely cross teams to identify and automate key touch points.

* Developed the shared message inbox product, a feature that was collaboratively implemented across two teams. This allowed multiple users to access and manage a common email address, facilitating the brand to delegate and work more efficiently at scale. Resulted in 30% increase of communication volume and a 50% faster response time.

* Established a culture of observability using Datadog APM throughout the engineering organization. Set and enforced SLOs for mission critical API, ensuring consistent SLA compliance. This led to a reduction in P1 bug resolution time from 10 days to 3 days

Served as the third engineering hire at Aspire.

* Achieved annual cost savings of $2 million by meticulously planning and executing a 12-month migration of a recently acquired company's infrastructure serving 100K QPS from AWS to proprietary data centers. Maintaining the high availability of 99.999% when migrating live traffic.

* Architected and implemented reporting platform tailored for time-sensitive data, achieving high-throughput of 40K QPS. Implemented using worker nodes that execute data rollup tasks and persist results in Cassandra which is later consumed by the reporting service.

*Engineered an in-memory, lock-free data structure (Urcu - linux lockfree datastructure) for the 'User Mapping System'—a platform that aligns user identifiers across various systems. This enhancement achieved a 500% reduction in datastore load.

* Designed and implemented a 'Cookie Matching Server', adept at synchronizing user identifiers across ad platforms, managing a 60K QPS. This server streamlines targeted advertising by bridging communication gaps in the ad tech ecosystem.

* Designed a modular rate limiting solution utilizing the token bucket algorithm, enabling granular rate-limiting per partner, per thread. Achieved efficient rate-limiting performance at 10K QPS.