Leading Meta’s agentic analytics infrastructure and serving as technical lead for the agent system behind Meta’s first B2B agentic analytics product—bridging product goals with infra capabilities to ship reliable, customer-facing analytics at global telecom scale.

• Tech lead for the agent system and its productionization; evolved LLM experience from assistant → fully agentic (two major iterations)

• Own Metrics Platform/Catalog and the Unified Report API, a core reporting surface powering 6+ product offerings

• Built customer-facing analytics capabilities deployed across nearly all telecom carriers/countries worldwide

• Delivered external metrics APIs for partners (6 partners across 5 countries) and the safety rails to evolve them (validation/experimentation, rollout discipline)

• Led execution across product + infra with a team peaking at 7 engineers (incl. senior engineers)

Stack: Presto, RocksDB, Hive, Thrift, C++, Python

At SV Robotics, I was involved from the initial founding of the company, playing a role in creating the company narrative, brand, and operations strategy. In addition, as the consulting software engineer,

I advised on investments in software engineering, as well as the design of the software engineering curriculum. The business grossed nearly 100k per year at the end of my term and over the next two years would grow to over a quarter-million per year.

• Created agility and cost-effectiveness by advising against in-house software development and introduced the adoption of "paper prototyping" of processes.

• Pioneered first-in-industry “playground” curriculum used for advanced students, based on free exploration within a prepared software environment with various "software objects" (https://github.com/svrobotics/logicbox)

• Advised on the company narrative, crafting a narrative around the formation of the company and the retention of the SV Robotics Name

• Performed behavioral interviews for potential members of executive staff

• Brand design and basic graphical design (designed the logo)

• Delivered software engineering lessons to 15+ students

At Facebook, I work on the Distributed Machine Learning Training Platform, with a focus on our internal usage of Caffe2.

• Implemented various Machine Learning metrics in an extremely large scale environment

• Contributed code to Open Source Caffe2

• Worked with several machine learning techniques including SparseNN, EASGD and HOGWILD!

• Technologies used: Caffe2, C++, Python

During my second internship at Kik Interactive, I worked on a set of large scale micro-services for focused on the propagation of profile updates to a Kik user's contacts. My tasks included:

• Updating microservices to handle new data formats

• Debugging various cases of lost updates

• Implementation of various cleanup pipelines

• Technologies used include: Cassandra, Redis, RxJava, Java

Worked on the data team, maintaining, refactoring, and testing elements of a streaming pipeline processing academic publications.

• Led development of custom metrics library for tracking entities through the data pipeline.

• Ownership of ingestion and parsing sections of data pipeline

• Worked with: Spring-boot, Prometheus, Graphana, GCE