Venkata Shiva Varun Nagulapalli
Professional Summary
Software Engineer with 0 years of professional experience, focused on full‑stack development and machine learning research. Skilled in Python and JavaScript/TypeScript for backend and frontend work, with practical experience building REST APIs and production FastAPI/Node.js services, and deploying apps to Render and Netlify. Experienced in research-grade ML/AI using PyTorch, TensorFlow and MONAI for medical imaging and efficient model fine-tuning, plus scikit-learn for classical modeling. Delivered production prototypes and developer tooling in HPC research and startup contexts, including a Python-based RAG knowledge base, data pipelines for cluster troubleshooting, and a role-based React/TypeScript recruiting platform. Owns end-to-end delivery: architecture, reproducible tooling (Git, MLflow), testing, and live deployments that improve developer and operational velocity.
Technical Skills
Work Experience
- Architected a Python-based Retrieval-Augmented Generation (RAG) knowledge base to index Markdown runbooks and HPC wiki content for automated troubleshooting using LLM API integration.
- Engineered data ingestion pipelines in Python to parse unstructured runbooks and normalize troubleshooting artifacts for downstream retrieval and QA.
- Integrated AI tool-calling workflows to orchestrate automated diagnostics and evidence collection, improving the speed of root-cause workflows for cluster anomalies.
- Refactored legacy deployment and operations guides into version-controlled, executable runbooks using Git and Markdown to improve reproducibility of system recovery steps.
- Established reproducibility guardrails and automated evaluation benchmarks for research tooling to validate operational accuracy across iterative experiments.
- Partnered with senior systems engineers to operationalize developer tooling inside HPC environments, enabling repeatable runs on campus infrastructure.
- Engineered a full-stack recruiting platform using React and TypeScript with role-based access controls, increasing hiring process efficiency by 40%.
- Architected RESTful backend services in Node.js/Express for authentication, job listings, and application workflows to support scalable recruitment operations.
- Hardened API security by implementing JWT-based authorization and schema validation to reduce token misuse and improve endpoint reliability.
- Led Git-based development and pull-request review processes to accelerate release cadence and improve cross-developer quality.
- Implemented responsive UI components and end-to-end workflows using React and TypeScript to improve candidate and employer UX.
- Streamlined API testing and documentation using Postman to enable reliable integration testing and faster developer onboarding.
Education
Certifications
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