# Rideep Moran > Software Engineer @ Natera Location: San Francisco Bay Area, United States Profile: https://flows.cv/rideep I'm a backend-focused software engineer with over 6 years of experience building scalable microservices, cloud-native systems, and developer-friendly platforms across healthcare, AI, and enterprise domains. I bring a strong foundation in both industry and research environments, having worked at Intel, Medibuddy, and Purdue University. At Medibuddy, I led initiatives that optimized cloud costs by $100K anually and improved service performance by over 40%. At Intel, I contributed to conversational AI infrastructure, improving bot accuracy by 30%, and drove DevOps automation that reduced CI/CD costs by 40%. My recent work at Purdue involves developing intelligent document detection systems using YOLOv8, Flutter, and AWS SageMaker for large-scale datasets. 🔧 Core Skills: Languages: TypeScript, Javascript, Node.js, Python, Java, C# Frameworks: Spring Boot, .NET Core, Express.js Cloud & DevOps: AWS (EC2, RDS, Lambda, SQS, S3), Docker, GitLab CI/CD, Jenkins, Kinesis, New Relic, ELK Databases: PostgreSQL, SQL Server, MongoDB, Redis Frontend: React.js, Flutter, Tailwind CSS Tools: Postman, JIRA, Roboflow, SageMaker,Git,Bitbucket I thrive in roles where I can blend software engineering with system design, optimization, and automation at scale. 🎓 I hold a Master’s in Computer Science from Purdue University (GPA 3.8/4.0), where I focused on ML, NLP and scalable cloud systems. 📬 Always open to connecting with professionals in backend engineering, AI engineering, cloud architecture, or research-driven product development. Let’s build something impactful! ## Work Experience ### Software Engineer @ Natera Jan 2026 – Present | Dallas, TX ### Software Engineer @ Community Dreams Foundation Jan 2025 – Present Designed and deployed a Retrieval-Augmented Generation (RAG) system for legal documents using Typescript, Node.js, OpenAI APIs, and FAISS • Built prompt templates, chaining logic, and evaluation pipelines to improve LLM response accuracy for legal summarization workflows. ### Research Assistant @ Purdue University Jan 2023 – Jan 2025 | Indianapolis, IN Working as a Software Engineer/Research Assistant at the MICV3D lab under Dr. Christopher Lauren at Purdue University, Indianapolis. Key Responsibilites: - Conducting research in Computer Vision, leveraging CNNs, Vision Transformers, and image representation learning. - Designed and developed a mobile app in flutter to capture pictures under different LED settings and frequencies to see redacted documents. - Integrated Audrino to control the frequencies from the mobile app. - Augmented Reality functionality to detect objects and take measurements in real time. - Fingerprint Identification functionality using YOLOv8 and Roboflow to detect fingerprints in the images. - Used ONNX to convert the pytorch model to tensorflow-mobile for deploying into the flutter app. - Achieved a precision score of 99.5% and 84.27% recall. ### SDE-II @ MediBuddy Jan 2021 – Jan 2023 | Bengaluru, Karnataka, India Designed and developed microservices supporting business verticals like Insurance, Medicine Delivery, and Platform Services with high availability and fault tolerance. Key Contributions: -Database optimization project across the organization, leading to the strategic downgrade of the AWS SQL server instance from 24x to 8x. Achieved a substantial cost reduction of approximately 100k USD anually. -Integrated insurer APIs and webhooks, implemented data encryption, and deployed serverless functions on AWS Lambda to ensure secure and scalable system operations. -Designed and developed RESTful APIs for an order management system for diagnostic centers and insurers,enabling seamless order processing and customer report management, handling over 10,000 orders per day. -Redesigned the zip code–based order booking system at Medibuddy using a geolocation approach with latitude/longitude, MySQL, and the Google Distance Matrix API, reducing user fulfillment time by 30%. -Led monolith to microservices migration, improving system latency by 40% and ensuring CI/CD integration using tools like Docker and Jenkins. -Streamlined production monitoring by integrating New Relic, Elastic Search, and AWS Kinesis, decreasing mean time to resolution (MTTR) for critical issues by 60% and improving overall system reliability. - Diagnosed and fixed production issues involving slow database queries, read replica lag affecting order status updates, and cache invalidation, improving system reliability and reducing downtime. ### Software Engineer @ Intel Corporation Jan 2018 – Jan 2021 | Bengaluru Area, India Worked as a Software Engineer on Intel's Enterprise Data Platform team. I contributed to the development of a Conversational AI platform enabling various Intel product groups to create chatbots with minimal effort and no development expertise required. Key responsibilities: - Design and developed RESTful APIs, deployed on Cloud Foundry, supporting scalable and reliable backend services.. - Improved chatbot accuracy by 30% by optimizing Rasa NLU pipelines and implementing a custom dictionary for Intel-specific acronyms. - Built scalable and reusable UI components in Angular, enhancing rendering performance and accelerating feature development. - Migrated and automated CI/CD pipelines from TeamCity to GitLab, cutting licensing costs by 40%. - Developed an automated code scanning system using AppSec APIs to identify vulnerabilities in GitLab deployment pipelines to production. -Wrote unit tests using Mocha and Chai, increasing test coverage by 90% and ensuring higher code reliability. - Automated Intel’s access control management, reducing the SLA for project creation from hours to 30 minutes. - Resolved critical production issues using ServiceNow ensuring minimal downtime and continuous business operations. ## Education ### Master of Science - MS in Computer Science Purdue University ### Bachelor's degree in Computer Science National Institute of Technology Arunachal Pradesh ## Contact & Social - LinkedIn: https://linkedin.com/in/rideep-moran-93654b136 --- Source: https://flows.cv/rideep JSON Resume: https://flows.cv/rideep/resume.json Last updated: 2026-04-11