I'm an applied researcher in machine learning and founder of a research institute where I teach related subjects to ML and build heavy ML powered products.
chronological:
Applied research endeavors have been around natural language processing and reinforcement learning. I have worked as head of machine learning at several startups with consumer facing products.
Background in computer science with concentration in web and networking. Previously, I have built a online school and streaming service such as DraperTV, I have contributed to a dozen of python packages and ruby gems.
I like working with teams that have diverse set of skills.
Harder challenges are usually starting point for learning something new, which gets me excited about all sorts of topics to build or teach on.
HIGHLIGHTED PROJECTS:
NEAR Atlas
- Led the development and implementation of NEAR Atlas, ...
HIGHLIGHTED PROJECTS:
NEAR Atlas
- Led the development and implementation of NEAR Atlas, an expansive analytics and BI platform using technologies such as Snowflake, Airflow, Rust, Python, and JavaScript, enhancing data visualization through custom KPI dashboards and internal financial reporting tools.
- Managed internal SSO integration for tools such as Metabase, ReTool, Snowflake and AWS.
- Directed UI/UX design efforts, achieving a more intuitive user interface that improved user satisfaction andengagement metrics by over 25%.
NEAR Internal CRM
- Managed the deployment of a customized internal CRM system utilizing ReTool and PgSQL, focusing on streamlined ETL processes and database management to support organizational operations.
- Enhanced system efficiency and user experience by implementing automated workflows and data integration solutions, which reduced manual data entry errors by 40%.
Besides research, we built various products such as:
[NEAR Atlas](https://nearatlas.com/#/) : an online on-chain analytics platf...
Besides research, we built various products such as:
[NEAR Atlas](https://nearatlas.com/#/) : an online on-chain analytics platform.