My work sits at the frontier where environmental engineering meets climate finance and geospatial AI. Drawing on experience across water infrastructure, environmental consulting, and advanced data analytics, I focus on converting high-resolution spatial and hydrological data into actionable intelligence for sustainability-focused decision-makers. I am driven by a commitment to building at the intersection of technology and climate, pursuing entrepreneurial and analytical opportunities where rigorous science meets real-world impact.
Assistant Engineer
June 2025 – Present · San Jose, CA
Developed data-driven reporting workflows for a 24,000 AFY infrastructure program, partnering with engineering, operations, and regulatory teams to define requirements, prioritize reporting needs, and translate complex environmental and operational datasets into clear Power BI and Excel dashboards for faster stakeholder decision-making.
Environmental Engineer
July 2023 – October 2024 · Daly City, CA
Led data models and analytics workflows across five water districts, designing scalable Python and SQL pipelines for 20+ years of environmental data. Established validation standards and translated analytical outputs into actionable planning recommendations, improving reliability, auditability, and system-level decision-making.
Environmental, Health and Safety - Information Management Intern
June 2022 – March 2023 · San Francisco, CA
Developed Power BI and Tableau tools to track environmental performance metrics, built a carbon analysis tool integrating multi-source datasets, and automated Python workflows that improved reporting efficiency while translating analytical outputs into user-friendly insights for project teams and leadership.
Engineering Sales Intern
June 2020 – August 2020 · Bengaluru, India
Worked with the Strategy and Marketing Team to identify water and wastewater treatment challenges for Tier 1 pharmaceutical API and formulation sites in India, supporting business plans for ZLD, UPW, and retrofit systems to address current and emerging operational needs.
January 2024 - August 2024
R-based soil moisture balance and MODFLOW 6 / FloPy modeling for irrigation demand and groundwater stress on a 100,000+ acre California basin under SGMA.
January 2023 - June 2023
Six-month startup incubation for a carbon management app—team leadership, milestones, and pitches at TreeHacks 2023 and Stanford GSB Ignite.
September 2022 - December 2022
Non-stationary frequency analysis on 76 years of flows and precipitation across 133 gauges using Vogel et al. (2011) methods and magnification factors.
September 2021 - December 2021
Monte Carlo flood risk and expected-loss analysis leading to a hybrid insurance + levee strategy that cut annual loss exposure substantially.
September 2021 - February 2023
GIS and DWR-driven vulnerability assessment for Central Coast water plans plus a county-scale Python resilience index from multi-source data.
September 2022 - December 2022
Comparative environmental and economic LCA of grid vs geothermal power and waste heat recovery for data center energy strategies.
January 2022 - March 2022
Scenario framework for national energy mixes and policies toward a Paris-aligned system for ~9 billion people by 2050.
The study identifies Jodhpur as the optimal location for a 50 MW Solar Power Tower CSP plant in India, with the lowest LCOE and highest NPV, aiding in technology and investment decisions.
Lockdown measures during COVID-19 significantly reduced AQI levels of PM2.5 and NO2 in major cities of India and China, highlighting effective pathways for air pollution mitigation.
A multispectral empirical model using Landsat 8 data effectively estimates PM2.5 concentrations in Delhi with adequate accuracy, correlating satellite reflectance with in-situ measurements and meteorological data.
