# Pranav Toggi

> Software Engineer @ Wherobots.ai | Open Source | Spatial Data

Location: San Francisco, California, United States
Profile: https://flows.cv/pranavtoggi

I am passionate about spatial intelligence and distributed computing, with a focus on building scalable solutions for spatial data processing. As a Software Engineer at Wherobots, I contribute to building the next generation of geospatial infrastructure for modern applications, designed to solve complex, real-world problems like urban planning, environmental sustainability, disaster response, and logistics optimization. I also contribute to the Apache Sedona open-source project, aiming to make spatial analytics accessible to everyone by democratizing the power of geospatial data for organizations and individuals alike.

With a background in both software engineering and data science, I not only drive technical advancements but also create content to bridge the gap between complex concepts and practical, real-world applications. I hold a Master of Science in Computer Science from Arizona State University, where I specialized in distributed systems, software engineering, and big data.

## Work Experience
### Software Engineer @ Wherobots.ai
Jan 2023 – Present | San Francisco, California, United States

### Apache Sedona Committer @ The Apache Software Foundation
Jan 2024 – Present

### Apache Sedona Contributor @ The Apache Software Foundation
Jan 2023 – Jan 2024

### Software Engineer - Big Data @ Arizona State University
Jan 2022 – Jan 2023
• Streamlined high-velocity sensor data processing via the design and implementation of robust data pipelines and storage mechanisms
• Conducted extensive benchmark tests on large-scale time series data across databases, delivering pivotal insights for data management
• Leveraged PCA, dimensionality reduction, and correlation analyses, unveiling intricate trends and driving hypothesis verification
• Deployed ML models on high-volume, high-velocity time series data, effectively enhancing the predictive accuracy and the understanding of bioreactor processes

### Teaching Assistant, Data Mining @ Ira A. Fulton Schools of Engineering at Arizona State University
Jan 2021 – Jan 2022 | Tempe, Arizona, United States
• Delivered a range of teaching and assessment activities for CSE 572 : Data Mining
• Introduced students to machine learning fundamentals such as supervised and unsupervised learning and reinforcement learning

### Software Engineer @ Energy Infotech Consulting Pvt. Ltd.
Jan 2019 – Jan 2021 | Mumbai, Maharashtra, India
• Constructed modular libraries and RESTful APIs within a microservice-oriented architecture
• Engineered 5+ web apps, each introducing extensive functionality and tools facilitating mission-critical operations.
• Directed a team of 5, pioneering a fully automated AWS CI/CD pipeline that accelerated delivery times by 65%
• Executed robust Java-based software testing and engineered systems for performance metrics, monitoring, and bottleneck isolation
• Streamlined ETL and data validation processes, aggregating pivotal metrics across various marketing platforms and product suites


## Education
### Master of Science - MS in Computer Science
Arizona State University

### Bachelor’s Degree in Computer Engineering
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

### Full Stack Web Development Certification in Computer Software Engineering
freeCodeCamp

### High School in Science
Hiranandani Foundation School, Thane, India


## Contact & Social
- LinkedIn: https://linkedin.com/in/pranav-toggi
- GitHub: https://github.com/prantogg

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Source: https://flows.cv/pranavtoggi
JSON Resume: https://flows.cv/pranavtoggi/resume.json
Last updated: 2026-03-29