LAKSHMI CHANDRASEKHAR ARAVAPALLI
I am full stack engineer with a Master's Degree in Computer science with a strong foundation in AI, cloud infrastructure, and modern web development.
About
I am full stack engineer with a Master’s Degree in Computer science with a strong foundation in AI, cloud infrastructure, and modern web development. With experience spanning early-stage startups, research labs, and production systems, I’ve built end-to-end solutions from medical imaging pipelines using AWS and Supabase, to AI-driven assistants using LangChain and RAG. My skillset includes React, Next.js, Python, Node.js, PostgreSQL, and a wide range of AWS services, complemented by hands-on experience in ML and NLP frameworks like PyTorch and Scikit-learn. I focus on building impactful, real-world applications at the intersection of AI and user experience.
- 4 years' experience
- Joined July 2025
Skills· 14
Languages
- EnglishAdvanced
- HindiIntermediate
Industry experience
- Software & Internet
- Healthcare
- Professional Services
- Life Sciences
Work experience
Developed and deployed a pipeline to convert a CT scan to a 3D image, built a responsive UI using Next.js, TypeScript, and Tailwind CSS for handling DICOM files stored in S3. Designed AWS Lambda functions for data extraction and processing of DICOM files to 3D images. Connected Lambdas using AWS SNS, SQS, and Sengrid for monitoring and secure deployment. Improved deployment reliability by 15% using GitHub version control and Docker containers. Created an AI-driven conversational assistant utilizing LangChain and RAG for real-time contextual responses in automated customer support.
Built an AI-powered mental health assessment and scheduling web application using Next.js, TypeScript, Tailwind CSS, FastAPI, and MongoDB to enhance diagnostics and streamline clinician workflows. Implemented patient psychological evaluations, AI-generated reports via ChatGPT API, doctor insights for treatment prioritization, and an integrated appointment scheduling system.
Developed a ticketing application allowing users to browse events, book tickets, and make secure payments. Created a responsive UI with React, Next.js, and TypeScript with dynamic server-side rendering, boosting engagement by 30%. Implemented microservices architecture with Node.js, Express, MongoDB, and PostgreSQL, integrating NATS Streaming Server for messaging. Developed optimized RESTful APIs, used Docker and Kubernetes for containerization, and GitHub Actions for CI/CD automation.
Education
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