Chief technical leader responsible for overall technical strategic guidance and the development, implementation and management of all technical aspects of the over 100 engineer consultancy. Responsible for drafting and presenting all technical documents related to business development and providing hands-on implementation of backend software, devops and systems design for active client engagements.Google- Hands-on implementation of feature enhancements for an ML tool to analyze incoming contracts and identify potential conflicts within the universe of Google legal contractsCompass- Led cost-cutting that reduced annual cloud spend by 50% and revised the plan for a title and escrow app that resulted in $6m of savingsNetflix- Hands-on implementation of code improvements to an internal tool that interfaced with an ML search layer for user interactionsApple- Hands-on implementation of feature enhancements for two infrastructure-as-code tools for deploying the full suite of Apple cloud servicesIBM- Hands-on implementation of feature enhancements for the block storage service for CRUD operations of block storage for compute in the IBM Cloud- Integrated 12 backend engineer consultants into VPC services in the IBM CloudBayer- Led various initiatives to oversee migration of backend services from Python to GoBethesda- Led various initiatives to oversee migration of backend services from Python to GoPlaystation- Designed and implemented a secrets management tool for monitoring and management of org-wide cloud secretsParamount- Defined a new devops process and workflow for the org- Migrated various applications to a new workflow including a migration to Kubernetes, Terraform and HelmTuSimple- Led initiatives to monitor, improve and manage on-prem and cloud-based infrastructure for running ML workloads for advanced self-driving softwareWarner Media- Designed and implemented an ETL pipeline for consuming user interactions for mobile news apps

- Recruited and led a team of 25 quantitative analysts, quantitative developers and traders todevelop high-frequency trading strategies for the US equities market- Developed a low latency high frequency US equities trading platform- Developed a US equities market simulator- Developed several high-frequency trading strategies

- Developed and executed an automated high-frequency US equities strategy- Provided daily briefs on strategy performance and planned strategy updates

- Assisted high-frequency US equities traders by way of developing pricing and risk models andexecuting those models using Java and C++- Designed and implemented a US equities market simulator that used Monte Carlo and otherstochastic methods to simulate slippage and other market phenomenon in order to create moreaccurate backtests- Designed and implemented a low-latency, high-frequency platform which was used byhigh-frequency trading desks globally across asset classes- Designed and implemented a low-latency feed reader for Level 2 tick data from NYSE andNASDAQ- Designed and implemented a low-latency FIX engine