Hi, I'm Ashita Prasad - Software Engineer at Google
I am deeply driven by the intersection of complex data and intuitive design, thriving when I bridge technical puzzles with human-centric solutions. I excel in high-impact environments that demand rigor.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed high-throughput transaction processing systems and robust financial infrastructure while working at Visa.
Engineers scalable software solutions and high-performance technical systems currently at Google.
Provides expert architectural guidance to optimize data pipelines and help early-stage teams build stable foundations.
🚀 Career trajectory
Foundational Phase
Began by mastering academic rigor and technical instruction at Georgia Institute of Technology.
✦ Teaching
✦ Foundations
Growth & Stability
Navigated large-scale financial engineering at Visa, refining skills in data security and processing.
✦ FinTech
✦ Systems
Advanced Engineering
Pushed boundaries at Google, focusing on high-performance development and cutting-edge software integration.
✦ Big Tech
✦ Performance
💪🏻 Superpowers
Scalable Systems Architect
Engineering robust solutions for global financial and web platforms.
✦ Architected high-throughput transaction processing systems at scale.
✦ Optimized backend performance for enterprise-grade distributed applications.
✦ Modernized legacy infrastructures to support evolving business demands.
Data Narrative Expert
Translating complex datasets into clear, interactive visual stories.
✦ Leveraged D3.js to visualize intricate user behavior patterns.
✦ Applied machine learning models to improve predictive analytical accuracy.
✦ Communicated technical findings effectively to cross-functional stakeholders.
Technical Mentor & Catalyst
Guiding teams through collaborative growth and continuous learning.
✦ Formalized technical curriculum as a lead graduate teaching assistant.
✦ Facilitated seamless knowledge transfer between engineering and operations teams.
✦ Foster growth through constructive code reviews and documentation.
I'm excited about
✦ Exploring strategic partnerships with innovative startups seeking technical excellence.
✦ Connecting with industry leaders to shape the future of machine learning integration.
✦ Seeking high-impact opportunities that demand both depth in engineering and broad vision.
I can help with
✦ Provide technical guidance for early-stage teams building scalable architecture from scratch.
✦ Offer specialized insights on implementing effective ETL and data pipelines.
✦ Review technical roadmaps to identify potential performance bottlenecks and growth constraints.
I would love your help on
✦ Navigate transitions into executive leadership roles or technical founding positions.
✦ Discover mentors who successfully transitioned from engineering into venture or strategic advisory.
✦ Learn best practices for scaling technical teams within hyper-growth environments.