- Oversee the software engineering function- Manage and lead engineering teams, drive technical innovation, and align technical strategies- Assist CTO and CEO in planning out Engineering teams quarterly project timelines- Regularly interact and mentor junior members of the engineering teams for workplace education and moral support

- Played a significant role in raising Series A funding by leading both the data engineering team and the cloud infrastructure team- Upgraded the existing data pipeline with Apache Arrow by installing Ray and Dremio as underlying layer of data transfer- Designed a multi-cluster service mesh with HA microservice cluster and distributed compute cluster- Led a testing platform implementation, including sanity check, load test, scale test, heartbeat test, and performance test- Assisted CTO and CEO in planning out Engineering teams quarterly project timelines

- Led a group of developers and analysts in an Agile Software Development process which includes daily standups, reviews of code and new service proposal, and system testing- Managed a team of 5-10 engineers. Be responsible for their hiring, mentorship, growth, performance evaluation and job satisfaction- Led failure investigations, conduct necessary analysis and perform corrective action for customer-related failures- Led a testing platform implementation, including sanity check, load test, scale test, heartbeat test, and performance test- Designed and developed a highly scalable and embarrassingly parallel ETL / Data Wrangling platformAchieved more scalable and faster implementation of products by performing DB migration and system refactor- Designed and developed a system logging platform with Elasticsearch, Fluentd, Kibana, AWS Cloudwatch, and AWS Quicksight

- Designed and developed an on-demand predictive modeling platform from the ground up- Implemented a collaborative filtering algorithm to boost the accuracy of predictive models which are trained with small datasets- Designed and developed a text vectorization model with Principal Component Analysis on TF-IDF, to build text understanding pipeline platform- Overhauled an existing monolithic codebase into microservice structure with gRPC- Designed and developed a highly interactive ETL pipeline program with ability to use Jupyter notebook, Metabase, and Plotly Dash for intermediate datasets- Utilized Kubernetes to orchestrate the deployment, scaling and management of Docker containers- Designed and implemented a continuous and scalable build-deployment (CI/CD) system with Jenkins and Kubernetes to support on-demand releases

- Lead and assist the maintenance of DRSKO system and CBRN equipment- Provide training advice and supervision regarding CBRN equipment and operations- Train CBRN platoons on dismounted CBRN operations- Operate on DRSKO missions as an Initial Entry Team leader

- Assist in the establishment of CBRN defense measures- Provide training advice and supervision regarding CBRN equipment and operations- Train military and civilian personnel on CBRN response operations- Operate and maintain CBRN detection and decontamination equipment

- Design and develop core computation / data processing / components of the Celect Choice Engine- Develop statistical / machine learning approaches to real world, large scale problems- Work with high scale retail data sets to derive statistical insights and develop innovative algorithm to productize these insights- Build out tools and infrastructure for data analysis- Manage service deployments with docker and kubernetes

- Participate in SWITCH-USA and SWITCH-WECC projects as data scientist/software engineer role - Build a capacity expansion model for the electricity sector based on United States- Preprocess the related data and improving the functionality of site suggestion model