# Shruti Varade

> Proud Indian 🇮🇳 | Software Engineer

Location: Cambridge, Massachusetts, United States
Profile: https://flows.cv/shrutivarade

I’m a Software Engineer with 4+ years of experience building scalable backend systems, cloud-native applications, and interactive web platforms across fintech, healthcare, and enterprise domains.

My core expertise lies in:

Cloud & Backend: AWS (Lambda, Kinesis, DynamoDB, S3, WebSockets), Java/Spring Boot, serverless architecture, IaC with SST

Frontend & Visualization: React.js, TypeScript, Three.js, WebGL for real-time, interactive platforms

Data & Performance: Real-time streaming pipelines, CI/CD automation, containerization with Docker, and API optimization

🚀 Some career highlights:

Helped secure $1M in pre-seed funding by architecting and delivering a high-impact MVP at Curvepoint.ai, accelerating go-to-market for AI-powered safety solutions.

Built a 3D Brain MRI visualization tool at Massachusetts General Hospital, improving research accessibility and cutting data retrieval times by 81%.

Deployed a recommendation platform at Tata Group with microservices, reducing deployment time by 50% and boosting feature delivery by 30%.

I thrive at the intersection of technology and impact — turning ideas into scalable solutions, optimizing performance, and collaborating with cross-functional teams to align technology with business outcomes.

📌 Currently, I’m eager to contribute to projects where cloud engineering, data-driven insights, and cutting-edge visualization can make a real difference.

## Work Experience
### Software Engineer (Gen AI) @ Lumeris
Jan 2025 – Present | Cambridge, Massachusetts, United States

### Software Engineer (Founding Engineer) @ CurvePoint
Jan 2025 – Jan 2025 | Boston, Massachusetts, United States
o	Designed and deployed a scalable, highly available, serverless AWS serverless technologies (API Gateway, Lambda, Kinesis, S3, DynamoDB, Web Sockets) to ingest over ~21,600 ML model outputs per hour from Runpod and stream actionable insights to the React frontend.
o	Helped secure $1 M in pre-seed funding, enabling rapid expansion of our MVP and accelerated go-to-market for camera-free safety solutions.  
o	Worked at a fast-paced startup environment on Wi-Fi based user interface using React, NodeJS, Vercel enabling real-time, privacy-preserving threat detection in schools via passively interpreting Wi-Fi sensing technology—no cameras or wearables required.
o	Developed and maintained infrastructure-as-code using SST (Serverless Stack Toolkit) to build new things from 0-1 quickly, accelerating cloud migrations by ~60% (using “write-once, deploy-everywhere”) and improving resource maintainability for the existing AWS infrastructure.

### Software Engineer @ Harvard Medical School and Massachusetts General Hospital
Jan 2024 – Jan 2024 | Boston, Massachusetts, United States
o	Developed a 3D visualization tool using Typescript to display the Brain MRI data for Neural Connections on the web browser.
o	Reading and understanding the legacy code to add additional feature to the existing platform.
o	Reduced the time to fetch 1GB of data from AWS Cloud from 15 seconds to about 3 seconds, achieving an 80.91% improvement.

### Software Engineer (AI/ML) @ Machine Psychology @ UMass Boston
Jan 2023 – Jan 2024 | Boston, Massachusetts, United States
o	Developed Boostlet.js, a JavaScript library enables real-time AI/ML processing of medical images in web browsers, created a comprehensive solution supports various data formats (e.g., EEGs, ECGs, X-rays, MRIs, and CTs).
o	Designed a feature for image segmentation, data visualization, and integration with Hugging Face’s machine-learning models to enhance existing medical image processing libraries with client-side processing capabilities.
o	Improved teamwork and iterative development processes using Git for Version Control, NodeJS for backend development, GitHub Actions for test automation and Submodules for external library integration.

### Associate Software Engineer @ Tata Consultancy Services
Jan 2020 – Jan 2022 | Mumbai, Maharashtra, India
o	Implemented a clean and simple full stack recommendation platform following microservices based architecture with React as frontend framework, Spring Boot for developing a Java microservices for user management, analytics and recommendation engine.
o	Implemented JSON-based user data storage with in-memory session handling and RESTful APIs for frontend-backend data exchange.
o	Used transport layer like http, containerized using docker and orchestrated with docker compose for local development and integration.
o	Established a testing protocol, JUnit and Jest for unit testing, and python for integration testing to validate workflows across the application.


## Education
### Master of Computer Science
UMass Boston

### Bachelor of Engineering - BE in Computer Engineering
University of Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/shruti-varade
- Portfolio: https://shrutivarade.github.io/portfolio/

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Source: https://flows.cv/shrutivarade
JSON Resume: https://flows.cv/shrutivarade/resume.json
Last updated: 2026-03-28