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Venkata Shiva Varun Nagulapalli

Software Engineer • United States • v********************@gmail.com • +12******706 • drivetube.ai/•••••

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

Programming Language: Python,JavaScript,TypeScript,C++,Swift
Frontend Technologies: React
Backend Technologies: Node.js,FastAPI
Databases: PostgreSQL,MongoDB
Cloud Platforms: Render,Netlify
DevOps & Infrastructure: Docker
Testing & QA: PyTest,GoogleTest
API & Integrations: RESTful APIs,Postman,Git
Data Analysis & Visualization: MONAI
AI/ML Frameworks & Libraries: PyTorch,TensorFlow,scikit-learn,MLflow
Generative AI & LLMs: LLM
Mobile Technologies & Frameworks: SwiftUI

Work Experience

Case Western Reserve University
Cleveland, OH
Research Assistant / AI Computing & Software Research Intern
August 2025 – April 2026
Supported HPC-focused AI computing and campus cyberinfrastructure research; built developer tooling, reproducible pipelines, and AI-driven troubleshooting aids for research clusters and internal teams.
Tech Stack: Python, Git, Markdown, HPC
  • 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.
Linux World
Remote
Software Engineer Intern
May 2023 – April 2024
Built a full‑stack recruiting platform for a hiring workflow startup; owned backend services, role-based frontend, and API security to streamline employer and candidate flows.
Tech Stack: React, TypeScript, Node.js, Express, JWT, Postman, Git
  • 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

Case Western Reserve University
Master of Science in Computer Science • Cleveland, Ohio, USA • August 2024 – May 2026
Coursework: Computer Networks, Data Mining, Digital Image Processing, Machine Learning, Computer Security, Distributed Systems, Designing High Performant Systems for AI, Database Systems, Software Engineering, Advanced Algorithms, Responsible AI, Data Science Systems
Raghu Engineering College
Bachelor Of Technology in Computer Science and Engineering • August 2019 – April 2023

Certifications

JPMorgan Chase Software Engineering Job Simulation — JPMorgan Chase
Google Cloud Computing Foundations — Google
Introduction to Large Language Models
AWS Cloud Practitioner — AWS
Microsoft AI & ML Engineering Professional Certificate — Microsoft
AWS Fundamentals of Machine Learning and Artificial Intelligence — AWS

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