Helping strategic and growth account executives to run sales scenarios to boost deal size, reduce sales cycle and predict precise revenue.

• Managed Data Infrastructure, Site Reliability Engineering, Security Engineering, and Velocity and Quality (Developer Experience) functions of the Engineering Org• Aligned technical strategies of teams to better serve company and organizational level OKRs• Thought-partnership to Senior Executives and peers on data, metrics, and GenAI initiatives and strategies

• Founding Data Infrastructure team within the engineering organization to drive data engineering/platform initiatives• Scaled the team to 4 engineers based in both coasts of US (fully remote)• Established OKR practices within the team and later to the foundations squad• Established close collaboration between Insights and Analytics (data science function), Applied AI, and Product Engineering by establishing various embedding (2 SWE to I&A, 2 ML Engineer from APAI, 1 SWE to Product) framework to increase collaboration and cross-team training• Architected Data Mesh architecture and worked directly with ICs to complete technical implementation

• Core contributor to company's cloud migration from Aptible/AWS to Google Cloud Platform• Designed and implemented key components of GKE, Cloud SQL, and various GCP infrastructure with SOC-2, HIPAA, and HITRUST compliance requirements• Built new infrastructure by adhering to Zero-Trust security practice and adopting Infrastructure as Code using Terraform

• Build Data Science development environment hosting Jupyter instance on AWS EKS• Architected Machine Learning inference framework using Sagemaker and dockerized microserves on EKS

• Built the new data science and engineering department of 8 people• Architected new satellite data product and satellite API deployed on Kubernetes• Partnered with the product org to develop new line of satellite products• Prototyped crop classifier using remote sensing data with ML with PyTorch

• Engineering manager for team of three people• Architected and implemented data pipeline for aerial imagery using containerized microservices• Designed and implemented edge node services for image uploaded from remote locations in the US• Implemented satellite data processing capability for Landsat, Sentinel, and MODIS raster data• Built various agronomy data product for web application using aerial imagery

• Architect data API (RESTful) via Tornado used in real-estate platform• Image Processing• Data ETL design

• Developed Flask based interactive dashboard for some of the internal trading system implemented in Tornado and websockets• Automated various business and risk software• Re-implemented options valuation calculation in pandas/numpy• Created python packages to gather settlement prices with integration to Bloomberg

• Performed various quantitative analyses on time-series for Fixed Income and derivative products• Programmed trading algorithms for Fixed Income market• Curated financial data from Bloomberg using Bloomberg OpenAPI• Created custom internal web application and data visualization tools using Python

• Performed various statistical analysis on the apartment listing data in Python and Matlab• Generated analysis of market trends• Formulated various price prediction for the rental market

• Analyzed time series data using Matlab • Created data analysis programs in Python and Matlab

• Formulated the computational approach to the assessment of the research relevance of different scientific publications using Bayesian inference • Assisted in creating and debugging the algorithms and visual networks in Python

Research Assistant for Professor Anup Malani• Reading through science journal articles and determine the presence and lack of the conflict of interest between the researchers and the organizations such as drug companies

Research Assistant for Adair Morse, Assistant Professor of Finance • Ran the project to estimate the valuation of Sovereign Wealth Funds in Dubai • Oversaw the valuation of the real estate owned by the Sovereign Wealth Funds in Dubai, Abu Dhabi, Libya, Qatar, and Malaysia with a group of two different students• Formatted data on income level demographics from IRS for regression analysis in STATA, an econometric regression software

Research Assistant for Suraj Srinivasan, Associate Professor of Accounting• Gathered annual reports of different Asian, American, and British firms (20-F, 10-K, 20-F respectively) using various database such as Thomson Research and Mergent• Analyzed the auditor names of Japanese firms stated in financial statements from various Japanese electronic databases to be regressed for the auditor selection after the auditing scandal in 2006• Translated texts from Japanese financial statements into English

Research Assistant for Ayelet Fishbach, Associate Professor of Behavioral Economics • Conducted studies through Decision Research Lab at Booth School of Business and analyze data on cooperative behavior between assistants and group leaders• Collected surveys on cooperative behavior as well as setting up experiments on reaction biases using different computer programs

Research Assistant for Professor Gopal Thinakaran, Professor of Neurobiology• Worked under the supervision of Dr. Haipeng Cheng to measure the accumulation of Aβ level when Amyloid Precursor Protein is mutated using PCR and see its relationship to Alzheimer’s Disease• Produced transferable plasmid DNA using Sub-cloning method

Research Intern for Dr. Chris D. Vulpe, Associate Professor in Department of Nutritional Science And Toxicology• Worked under the supervision of Dr. Huijun Chen, produced DNA gel, RNA gel, and western blot for the investigation of the activities of hephaestin and its relations to iron deficiency• Cultured intestine and liver cells of HEP knockout mouse and extracted DNA, RNA, and proteins• Evaluated the protein count of hephaestin through western blot as well as oxidation of Fe2+ method• Cultured yeast cells and autoclaved laboratory equipments for the researchers in the lab