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Hi, I'm Sindhura Shivaprasad, an AI-focused full-stack developer with 3+ years of experience designing and deploying scalable web systems using TypeScript, Node.js, and Python frameworks. I'm passionate about integrating LLMs, RAG, and cloud-native automation to build intelligent, high-performance applications. I enjoy collaborating with cross-functional teams to ship reliable software and accelerate MVP delivery.…Hi, I'm Sindhura Shivaprasad, an AI-focused full-stack developer with 3+ years of experience designing and deploying scalable web systems using TypeScript, Node.js, and Python frameworks. I'm passionate about integrating LLMs, RAG, and cloud-native automation to build intelligent, high-performance applications. I enjoy collaborating with cross-functional teams to ship reliable software and accelerate MVP delivery.

Sindhura Shivaprasad

Full Stack Developer, Web Developer, Back-End Developer, +2

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Hi, I'm Sindhura Shivaprasad, an AI-focused full-stack developer with 3+ years of experience designing and deploying scalable web systems using TypeScript, Node.js, and Python frameworks. I'm passionate about integrating LLMs, RAG, and cloud-native automation to build intelligent, high-performance applications. I enjoy collaborating with cross-functional teams to ship reliable software and accelerate MVP delivery.…Hi, I'm Sindhura Shivaprasad, an AI-focused full-stack developer with 3+ years of experience designing and deploying scalable web systems using TypeScript, Node.js, and Python frameworks. I'm passionate about integrating LLMs, RAG, and cloud-native automation to build intelligent, high-performance applications. I enjoy collaborating with cross-functional teams to ship reliable software and accelerate MVP delivery.

Available to hire

Hi, I’m Sindhura Shivaprasad, an AI-focused full-stack developer with 3+ years of experience designing and deploying scalable web systems using TypeScript, Node.js, and Python frameworks.

I’m passionate about integrating LLMs, RAG, and cloud-native automation to build intelligent, high-performance applications. I enjoy collaborating with cross-functional teams to ship reliable software and accelerate MVP delivery.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

German

Intermediate

Work Experience

Full-Stack Working Student at Fraunhofer FOKUS, Berlin

May 1, 2024 - Present

Built an AI-driven network optimization platform using GraphRAG, FastAPI, and WebSockets, processing over 5K messages per day with sub-100 ms latency. Designed interactive Next.js dashboards integrated with LLMs to visualize network predictions and KPIs in real time across test cells. Rebuilt the cellular data portal with React.js, TypeScript, Node.js, and PostgreSQL to improve scalability and load performance for network datasets. Developed interactive analytics dashboards backed by ML models, integrating APIs for real-time data visualization and predictive insights. Engineered GitHub Actions-based CI/CD pipelines with containerized deployments, cutting release time by 60%. Accelerated MVP delivery from six weeks to two weeks by leveraging Cursor AI for automated code generation, debugging, and rapid refactoring.

Associate Full-Stack Engineer at Rakuten – India

March 1, 2022 - August 1, 2023

Built event-driven mutual fund workflows with Node.js/React, Kafka microservices (6K+ events/sec), Lambda NAV automation cutting effort by 40%. Optimized React-based discovery and engagement modules for travel platforms using S3 and CloudFront for global low-latency delivery. Integrated Elasticsearch for large-scale hotel and destination search, handling 1M+ requests/day at 120 ms average query latency. Moved Rails monoliths to Django microservices and improved Redis/PostgreSQL APIs, cutting P95 latency 850→290 ms. Automated Docker/GitHubActions (CI/CD) and Jest-based test pipelines, doubling deployment speed and reducing QA bugs by 30%. Partnered with product managers, QA, and DevOps teams to align scrums, sprints, monitor releases, and maintain platform reliability.

Machine Learning Intern at Acranton Technologies – India

March 1, 2021 - October 1, 2021

Developed and deployed ML models on real-world data for predictive analytics, automating pipelines and improving model accuracy. Utilized Python libraries including Pandas, NumPy, Scikit-learn, and TensorFlow for data preprocessing, model training, and evaluation.