# Rupali Patel

> Software & Machine Learning Engineer | Distributed Systems • Applied ML • Computer Vision • NLP • AWS

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

Hey there!

I’m a Software Engineer and Machine Learning Engineer focused on understanding how systems operate at scale.

I started in backend engineering, building high-throughput services with Java, Spring Boot, Kafka, MongoDB, and AWS. Somewhere between debugging distributed systems at 2 AM and optimizing API latency, I fell down the Machine Learning rabbit hole.

What began with curiosity about data and mathematics turned into serious work in Deep Learning and Computer Vision. Now at the University of Maryland, I build GPU-accelerated ML systems using PyTorch and CUDA, and design production-ready LLM and RAG pipelines.

I like working at the intersection of distributed systems, Machine Learning, and real-world impact, turning research ideas into scalable, production-ready AI systems.

If it involves backend systems, Machine Learning engineering, or AI infrastructure, I’m in.

## Work Experience
### Senior Software Engineer - Backend & Machine Learning Systems @ Code and Theory
Jan 2022 – Jan 2024 | Bengaluru, Karnataka, India
Machine Learning Engineering:

- Architected and deployed a production-grade GenAI chat system using AWS Bedrock (Claude), PostgreSQL, and a RAG pipeline, serving 50K+ real-time queries and driving 40% higher user engagement.

- Built an LLM-powered allocation engine using ChromaDB and LangChain Agents, introducing a smart semantic search layer for workforce-project matching that reduced manual effort by 60%.

- Built end-to-end MLOps pipelines with automated model validation, versioning, and performance monitoring to ensure stable production inference.

Software Engineering:

- Developed and deployed a predictive analytics-based Mental Health Toolkit using Nest.js, MongoDB, Azure, and Redis, enabling 25% faster clinical decision-making and 15% improvement in revenue cycle efficiency; recognized with SPOT Monetary Award.

- Built and tested scalable backend services for ACH transaction processing for a fintech client using Java, Spring Boot, and AWS DynamoDB, integrating internal APIs for real-time verification and simulating 10K+ concurrent users; reduced API errors by 30%.

- Implemented secure authentication (OAuth2, OIDC, JWT, SAML) while owning CI/CD pipelines on Azure with Docker and Kubernetes, ensuring reliable, production-ready deployments.

### Software Engineer @ Kloudspot Inc.
Jan 2020 – Jan 2022 | Bengaluru, Karnataka, India
- Developed and deployed a real-time crowd analytics platform for Expo 2020 Dubai using Java, Spring Boot, MQTT, Kafka, Flink, and MongoDB, delivering live crowd density insights and predictive congestion analysis at scale.

- Processed high-volume streaming sensor and video data, building distributed pipelines and deploying containerized services on AWS using Docker and Kubernetes for low-latency analytics.

- Designed and trained machine learning and computer vision models, performing data cleaning, feature engineering, and model evaluation to achieve 90% accurate live crowd density estimation.

- Led a team of 10 engineers to build an intelligent virtual office collaboration platform, integrating ML-driven user behavior analytics and predictive models to forecast resource utilization and team interactions, reducing physical office expenses by 35%.

### Associate Software Engineer @ Quikr
Jan 2019 – Jan 2020 | Bengaluru Area, India
- Developed a Cash Reward System (QCash) to promote product marketing via social media using Java, React, MongoDB, HTML, and CSS, resulting in a 40% increase in sales.

- Created a Visitor Management System to streamline in-store check-ins and monitor customer visits.


## Education
### Master of Science - MS in Data Science
University of Maryland

### PG Level Advance Certification Programme in Artificial Intelligence, Machine Learning and MLOPs
Indian Institute of Science (IISc)

### Bachelor of Engineering in Computer Science
Madhav Institute of Technology and Science, Gwalior


## Contact & Social
- LinkedIn: https://linkedin.com/in/rupali-patel
- Portfolio: https://graypapers.com

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Source: https://flows.cv/rupali
JSON Resume: https://flows.cv/rupali/resume.json
Last updated: 2026-03-30