# Ranishree Anegundi > Software Developer | React, Python, SQL, Gen AI, Prompt Engineering | Building Scalable Web Apps with CI/CD, Docker, and Cloud Deployments Location: Fremont, California, United States Profile: https://flows.cv/ranishree As a passionate Software Engineer and AI enthusiast, I specialize in developing intelligent, scalable, and high-performance applications. With a Master of Science in Computer Science from San Francisco Bay University (GPA: 3.89) and industry experience at Continental Automotive, I have honed my skills in software development, automation, and AI-driven solutions. My expertise spans Python, Django, React, FastAPI, AWS, Azure, and generative AI, with hands-on experience in LLM fine-tuning, prompt engineering, API integration, and cloud architectures. I have built projects like an OpenAI LLM Notebook, a Django AI Chatbot leveraging Generative AI, and contributing to the PM Accelerator project, which focuses on enhancing project management workflows through innovative solutions. Additionally, my contributions to simulation, automation, and data visualization at Continental Automotive have enhanced efficiency in software development workflows. Beyond development, I have a keen interest in research and problem-solving, as showcased in my SAE MyTechZone publication on Virtual Software-In-Loop (Closed Loop) Simulation Setup. I thrive in Agile/Scrum environments, collaborating cross-functionally to drive innovation and deliver impactful solutions. I’m always open to connecting with like-minded professionals, discussing emerging tech, and exploring new opportunities in AI, software engineering, and cloud computing. Let’s connect and innovate together! Skills Programming Languages: Python, JavaScript, HTML, CSS Data Structures and Algorithms: Strong problem-solving and algorithmic capabilities Web Frameworks: REST APIs, Django, Flask, FastAPI, React Cloud Technologies: AWS (EC2, Lambda, S3), Azure Databases: MySQL, MongoDB, Redis, ChromaDB (vector database) AI and Machine Learning: LangChain, OpenAI API, Scikit-Learn, Deep Learning Models Libraries/Tools: NumPy, Pandas, Matplotlib, PyQt, Vector Database DevOps & Tools: Jenkins, Docker, Git, JIRA, Postman, Visual Studio, PyCharm, MySQL Workbench, MongoDB Compass ## Work Experience ### Software Engineer @ Colovore Jan 2025 – Present | Santa Clara, California, United States ### Software Engineer Intern - AI/ML @ Product Manager Accelerator Jan 2025 – Jan 2025 | Fremont, California, United States Developed an AI-powered interviewer using LLMs and Generative AI, enabling dynamic question generation and real-time candidate evaluation. Engineer an intelligent follow-up system that refines interview depth by analyzing responses and generating context-aware questions. Design an LLM-driven assessment framework to evaluate and score answers, ensuring fairness, consistency, and accuracy in AI-powered interviews. Utilize Prisma for efficient data storage and retrieval, optimizing database interactions for scalability. Collaborate with cross-functional teams to enhance interview simulations, integrating AI-driven product case studies and role-specific assessments. ### Software Engineer @ Continental Jan 2019 – Jan 2022 | Bengaluru, Karnataka, India • Developed Python wrapper for simulating use-cases using multi-threaded application, reducing manual effort by 80%. • Redesigned and optimized the current analyses process flow, leveraging interactive graphs and dynamic images on HTML report to enhance data visualization and improve user experience by 50%. • Transformed HTML graphs and tables with JavaScript for improved functionality, decreased the loading time by 90%. • Facilitated knowledge transfer sessions for newly onboarded team members. • Collaborated for the development of new features within the framework, working closely with stakeholders to ensure alignment with project goals. • Strong understanding of data structures and algorithms, with a proven ability to optimize for performance improvements. • Served as the main contact responsible for handling and resolving any issues that emerged after the implementation phase. • Leveraged Jenkins tool to automate and streamline the unit testing process, ensuring that all code changes were thoroughly tested, reducing 60% post implementation issues. • Generated test scenarios for a variety of use-cases, in accordance with customer requirements. Utilized CarMaker tool to develop and automate test scenarios. • Utilized Python to clone multiple Git directories for local file retrieval. • Experienced in Agile and Scrum methodologies to achieve project milestones within demanding timelines. ### Post Graduate Engineer Trainee @ Continental Jan 2017 – Jan 2019 | Bengaluru, Karnataka, India • Attained extensive knowledge of Advanced Driver Assistance Systems (ADAS) functions and components. • Comprehensive grasp of Object-Oriented Programming (OOP) principles. • Proficient in utilizing Integrity Management System (IMS), GitHub, and JIRA for project management and software development purposes. ## Education ### Master's degree in Computer Science (AI) San Francisco Bay University ### Master of Technology - MTech in Computer Networks RNS Institute of Technology - India ### Bachelor of Engineering - BE in Computer Science B. V. Bhoomaraddi College of Engg. & Tech., Hubli ## Contact & Social - LinkedIn: https://linkedin.com/in/ranishree-anegundi --- Source: https://flows.cv/ranishree JSON Resume: https://flows.cv/ranishree/resume.json Last updated: 2026-04-05