Rithvik Golthi
Software Engineer & Full-Stack Developer
Passionate software engineer with expertise in distributed systems, AI integration, and cloud technologies. Currently building scalable solutions at Donato Technologies and developing innovative healthcare platforms.
Professional Summary
Experienced Software Engineer with 1+ years of expertise in building scalable distributed systems, AI-powered applications, and cloud-native solutions. Currently driving innovation at Donato Technologies, where I work with cross-functional teams in developing enterprise-grade microservices and implementing DevOps best practices.
My passion lies in creating intelligent healthcare solutions and cutting-edge AI systems. At DermaAI, I've architected HIPAA-compliant platforms that leverage LLMs and RAG architectures to deliver sub-second response times for critical medical applications.
Key Achievements
Performance Optimization
Reduced deployment time by 30% and load times by 30% through optimized CI/CD pipelines and frontend architecture
System Reliability
Achieved 99.9% data availability and reduced production outages by 45% through fault-tolerant architecture
AI Innovation
Developed AI-driven systems using GPT-4o, Claude, and Grok with RAG architecture for contextual medical queries
Team Collaboration
Led cross-functional collaboration with different teams in modern development practices
Education
Master of Science in Computer Science
University of Texas At Arlington
CGPA: 3.75/4.0 • Jan 2022 – Aug 2023
Specialization: Software Engineering & Big Data
Bachelor of Technology in Computer Science
Gokaraju Rangaraju Institute of Engineering and Technology
CGPA: 9.43/10 • Aug 2017 – Aug 2021
Professional Experience
Software Engineer
Donato Technologies
- Led cross-functional collaboration to develop an employee management system using Spring Boot microservices and React.js, enhancing role-based access control and orchestrating secure workflows with Apache Kafka for real-time inter-service communication.
- Engineered scalable CI/CD pipelines using GitHub Actions and Docker, automating build, test, and deployment processes, reducing release time by 30%, and improving deployment reliability across environments.
- Designed infrastructure-as-code using AWS CloudFormation, orchestrating containerized services with Kubernetes, enabling zero-downtime deployments and reducing production outages by 45%.
- Built modular frontend components using React.js, TypeScript, and Tailwind CSS, incorporating code splitting, custom hooks, and lazy loading to reduce load times by 30%.
- Automated unit and integration tests using JUnit, Postman, and Python, achieving 90% test coverage across critical APIs.
Software Engineer
DermaAI
- Independently designed and deployed a HIPAA-compliant distributed healthcare platform using Swift/SwiftUI, implementing secure patient management, medical documentation, and real-time status tracking.
- Developed an AI-driven dermatology assistant using LLMs (GPT-4o, Grok, Claude) and RAG architecture, integrating Gemini embeddings and Qdrant vector DB for contextual patient queries with sub-second response latency.
- Architected a fault-tolerant computing system using Firebase, AWS S3, and Cloud Functions, ensuring 99.9% data availability and implementing auto-scaling with global sync for platform-agnostic access.
- Built a secure messaging system with differential privacy, role-based access, and encrypted data flow between patients and doctors, facilitating HIPAA-compliant real-time communication across devices.
Technical Skills
Programming Languages
Frameworks & Libraries
Cloud & DevOps
Databases & Tools
Featured Projects
RAG Systems (Simple & Graph-based)
2024Advanced Retrieval-Augmented Generation systems implementing both simple and graph-based approaches. Features semantic search, vector embeddings, and intelligent document retrieval for enhanced AI responses.
Beatzzz - Personalized Music App
2019Developed a Django-based web application with Django Rest Framework (DRF) and RESTful APIs for getting and posting data, maintained SQLite database with responsive Bootstrap frontend.
FFTD - Friends, Family and Travel Diary
2023Developed a dynamic family history platform using Java Spring Boot, MongoDB, and Kubernetes for orchestration, implementing family tree visualization, media management, and event tracking with Kafka for real-time updates.
Rotten Oranges - Movie Review Website
2020Feature-rich movie review platform with user authorization, rating system, live database search, favorites functionality, and admin controls. Built with Node.js and MongoDB.
3D Object Detection for Autonomous Vehicles
2020Implemented 3D semantic segmentation approach for object detection using pre-trained 3D-UNet model weights for predictions in autonomous vehicle applications.
Crop Weed Identification
2021Used transfer learning with Xception model to identify 11 types of plant seedlings and crop-damaging weeds from 4750 training images, extracting bottleneck features for accurate predictions.