I am a Full Stack Developer with over two years of experience designing and deploying backend systems, REST APIs, data pipelines, and AI-powered applications. I have hands-on experience building retrieval-augmented generation (RAG) solutions, integrating vector databases like Pinecone and FAISS with PostgreSQL as a system of record. I am skilled in building scalable ingestion pipelines, embedding generation workflows, and secure API layers for production-grade applications. Additionally, I have a strong background working with cloud technologies including AWS, containerization tools such as Docker and Kubernetes, CI/CD pipelines, and applying security and observability best practices. I am passionate about delivering low-latency, maintainable, and product-ready AI systems. I thrive in dynamic environments where I can leverage my skills to build innovative AI-powered solutions, optimize backend performance, and ensure scalable and secure API architecture.

Anuroop Chinthireddy

I am a Full Stack Developer with over two years of experience designing and deploying backend systems, REST APIs, data pipelines, and AI-powered applications. I have hands-on experience building retrieval-augmented generation (RAG) solutions, integrating vector databases like Pinecone and FAISS with PostgreSQL as a system of record. I am skilled in building scalable ingestion pipelines, embedding generation workflows, and secure API layers for production-grade applications. Additionally, I have a strong background working with cloud technologies including AWS, containerization tools such as Docker and Kubernetes, CI/CD pipelines, and applying security and observability best practices. I am passionate about delivering low-latency, maintainable, and product-ready AI systems. I thrive in dynamic environments where I can leverage my skills to build innovative AI-powered solutions, optimize backend performance, and ensure scalable and secure API architecture.

Available to hire

I am a Full Stack Developer with over two years of experience designing and deploying backend systems, REST APIs, data pipelines, and AI-powered applications. I have hands-on experience building retrieval-augmented generation (RAG) solutions, integrating vector databases like Pinecone and FAISS with PostgreSQL as a system of record. I am skilled in building scalable ingestion pipelines, embedding generation workflows, and secure API layers for production-grade applications. Additionally, I have a strong background working with cloud technologies including AWS, containerization tools such as Docker and Kubernetes, CI/CD pipelines, and applying security and observability best practices.

I am passionate about delivering low-latency, maintainable, and product-ready AI systems. I thrive in dynamic environments where I can leverage my skills to build innovative AI-powered solutions, optimize backend performance, and ensure scalable and secure API architecture.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Software Developer at MachIT Group
March 1, 2025 - August 27, 2025
Designed and deployed REST APIs using FastAPI with AWS Lambda, integrating AWS DynamoDB and S3 for secure document retrieval and storage. Developed an AI-powered healthcare chatbot utilizing LangChain and AWS Bedrock, leveraging embedding pipelines and vector search for context-aware responses. Prototyped a retrieval-augmented generation workflow with OpenAI embeddings and Pinecone, incorporating metadata filters for patient type and timestamp to enhance healthcare document search capabilities. Configured GitHub Actions CI/CD pipelines, reducing deployment time by 40% and facilitating seamless updates. Implemented monitoring and observability hooks to track API usage, embedding latency, and error logs to maintain system reliability.
Software Developer at Enshire India
June 1, 2023 - August 27, 2025
Designed APIs initially with PHP/MySQL and migrated them to PostgreSQL for transport and event-tracking mobile applications. Integrated Google Maps Activity in Java for real-time bus and event tracking while optimizing backend APIs to handle geospatial queries efficiently. Developed ingestion workflows for syncing event and user data into SQL databases with data validation and deduplication. Collaborated with frontend teams to design secure API endpoints implementing authentication and role-based access control. Debugged and resolved customer-facing integration issues, reducing downtime incidents by 25%.

Education

Master of Science in Computer Engineering at University of Cincinnati
January 11, 2030 - May 1, 2025

Qualifications

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Industry Experience

Software & Internet, Healthcare, Transportation & Logistics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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