# Sanyogeeta Lawande

> Software Engineer @ Meta

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

👋 Hi, I’m Sanyo, I have 6+ years of experience as a Software Engineer specializing in scaling and optimizing complex, high-volume distributed systems. Currently, I’m shaping the future of automotive telemetry at Ford, previously at Autonomic LLC where I’ve scaled telemetry streaming services to handle data from over 10 million vehicles.

🎓 I hold an MS in Computer Science from UNC Charlotte

💻 My technical expertise includes Java, Python, Kafka, PostgreSQL, MongoDB, GCP, Spark, Kubernetes, and AWS, among others. 

🔍 I’m passionate about creating scalable software solutions for data intensive applications.

🌐 Connect with me to talk about technology, data-driven decision making, and how we can drive the future of innovation together.

## Work Experience
### Software Engineer @ Meta
Jan 2025 – Present | Menlo Park, California, United States

### Software Engineer @ Ford Motor Company
Jan 2023 – Present | Palo Alto, California, United States

### Software Engineer III @ Autonomic
Jan 2022 – Jan 2023 | Toronto, Ontario, Canada

### Software Engineer III @ Autonomic
Jan 2021 – Jan 2023 | Palo Alto, California, United States

### Software Engineer II @ Autonomic
Jan 2020 – Jan 2021 | Palo Alto, California, United States

### Software Engineer @ Autonomic
Jan 2019 – Jan 2020 | Palo Alto, California
• Scaled the telemetry streaming service to handle 200% more vehicles by finding bottlenecks in the existing code and optimizing it.
• Reduced downtime of Kafka based streaming service by 99% by reducing external coupling of the service.
• Facilitated scalability improvements by load testing the services, using reactive programming to send concurrent GRPC requests, Kafka messages to the service and thus reducing the amount of resources otherwise exhausted for the same.
• Increased revenue to 200% by collecting consumption data from all services using Kafka and automating the generation of invoices using Apache POI library.
• Implemented and scheduled Kubernetes cron jobs to do tasks like aggregation of consumption data using Spark, uploading data to AWS S3, generating invoices and storing them and sending out automated invoice emails.
• Increased accuracy of the invoices to 100% by adding sanity checks, extensive debugging and quick fixes.
• Designed and implemented an efficient REST API using Java and Spring Boot for the UX team to build real time dashboards for customers to monitor and query their consumption of services.
Improved performance of API responses by scalability testing Amazon RDS vs Druid for aggregation queries.
• Reduced revenue leakage by defining checkpoints for the services and monitoring them using Prometheus and Grafana.

### Software Engineering Intern @ Autonomic
Jan 2018 – Jan 2018 | Palo Alto, California
• Acted as the main contributor to various Kafka Streaming microservices, speeding up the release of the Alpha version of "Usage-Collector"
• Successfully tackled multithreading issues.
• Contributed to bug fixes and cleaning tech debt of usage-collector
• Contributed to monitoring health of microservices
    1) Updated the Alerts and Runbooks 
    2) Updated graphs using Graphana and Prometheus.
• Actively participated in code reviews which helped reduce tech debt.

### Graduate Research Assistant @ University of North Carolina at Charlotte
Jan 2018 – Jan 2018
NCDOT – 1) Wetland Predictive Model Improvements
	        2) Stream Predictive Model Improvements
ARCGIS tool is used to map the streams. The task assigned was connecting the broken streams using scripts in Python. A new method to do so was derived by analysis carried on the DEM data consisting of shape files and raster files.


## Education
### Master of Science - MS in Computer Science
University of North Carolina at Charlotte

### Bachelor's degree in Computer Science
MIT,Kothrud


## Contact & Social
- LinkedIn: https://linkedin.com/in/sanyogeeta

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