Shrihari Maheshwari
Founding Software Engineer @Corvus Robotics
Signup · Get unlimited contacts
WORK HISTORY
Founding Software Engineer @Corvus Robotics
San Francisco, CA, US
Built a Python-based ingestion engine to process 100+ GB of WMS data daily, enabling accurate comparison with Corvus drone scans and cutting data processing cycles from weeks to hours- Designed and launched a real-time analytics dashboard improving visibility into terabytes of warehouse operational data, reducing manual reporting by 25%- Developed Spotlight Search for AIMS, Corvus’s customer-facing platform, enabling sub-second queries across 50+ GB of indexed data and boosting client engagement by 35%- Built a self-service interface for clients to edit and manage their own labels and descriptions, improving WMS-to-drone data matching accuracy and reducing manual reconciliation work by 40%- Helped scale engineering velocity by 3x, deploying features daily with measurable improvements in stability and client adoption.
EDUCATION
Virginia Tech
Master's degree
ABOUT SHRIHARI MAHESHWARI
Founding Software Engineer at Corvus Robotics, where I rapidly build and ship production-ready features that scale. With 4+ years of full-stack experience, I specialize in React, NestJS, Python, TypeScript, and AWS — bridging delightful frontend experiences with resilient backend systems. I thrive in early-stage environments where speed, ownership, and impact matter most. At Corvus Robotics, I’ve: • Shipped secure authentication and role-based access control protecting client data across multi-tenant deployments. • Designed and launched a real-time dashboard improving visibility into terabytes of warehouse operational data, reducing manual reporting time by 25%. • Built a Python-based high-throughput ingestion engine for WMS data, processing 100+ GB/day to enable accurate comparison with Corvus drone scans. • Developed Spotlight Search for AIMS (customer-facing platform) enabling sub-second queries across 50+ GB of indexed data, improving data accessibility and client engagement by 35%. • Helped scale engineering velocity by 3x, shipping features daily and reducing production incidents by 20%. Previously, I engineered high-performance, real-time applications and distributed systems: • Built audio processing pipelines handling 500+ GB/day, achieving 95% transcription accuracy with <150ms latency across multilingual speech inputs. • Cut deployment cycles by 30% by migrating monoliths to microservices and automating CI/CD pipelines. • Architected real-time streaming systems supporting terabytes of live data daily with resilient WebSocket optimization. • Delivered $80K in annual cloud savings by optimizing AWS usage, autoscaling, and infra provisioning with Terraform/CloudFormation. • Improved API performance by 30% and user satisfaction by 25% through backend refactoring and frontend optimizations. I recently completed my Master’s in Computer Science at Virginia Tech, where I focused on distributed systems, scalable architectures, and ML-powered applications. Outside of work, I’m a Rubik’s Cube speed solver, FPS gamer, and weekend hacker — always experimenting with new projects that balance fun, function, and real-world impact. If you’re building something bold and technical, let’s connect — I love shipping fast, scaling smart, and shaping the future of products from the ground up.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.