Sasank Mukkamala

About Sasank Mukkamala

I’m a Full-Stack Software Engineer passionate about building intelligent, scalable systems at the intersection of AI, cloud computing, and user-focused design. Skilled in Python, Java, and TypeScript, I specialize in developing cloud-native, high-performance applications that enhance efficiency, reliability, and user experience.Over the past few years, I’ve contributed to projects that deliver measurable impact—improving system responsiveness by 30%, reducing AI inference latency by 25%, and cutting deployment errors by 60% through automation and CI/CD optimization. My professional experience spans Narb, Community Dreams Foundation, and California State University, Los Angeles, where I’ve built distributed systems, optimized databases, and developed secure, scalable APIs.Alongside my industry work, I’ve designed impactful AI-driven projects:🤖 AI SaaS Application – A full-stack web app integrating React.js, Node.js, and Hugging Face APIs for AI-powered art generation, secured with JWT authentication and Cloudinary storage. AI Medical Chatbot – A conversational AI built with LangChain, FAISS, and Streamlit, improving contextual reasoning and response accuracy by 50%.Holding an M.S. in Computer Science (GPA 3.94) from California State University, Los Angeles, I combine academic rigor with real-world engineering to create software that scales intelligently and ethically.Looking ahead, I’m driven to join forward-thinking teams shaping the next generation of AI-powered, cloud-native, and data-driven solutions—where innovation meets impact, and technology serves people at scale.

Experience

1. Software Engineer Intern

   Narb

   Oct 2025 — Present

   Designed, developed, and maintained scalable application features using TypeScript and Next.js, ensuring robust performance and usability. Collaborated with UX/UI teams to implement intuitive, user-friendly interfaces that enhance overall user experience. Integrated APIs and third-party services to enable seamless and reliable functionality across the platform. Consistently wrote clean, maintainable, and well-documented code adhering to industry best practices. Actively participated in code reviews, sprint planning, and agile workflows to support efficient team collaboration. Debugged and optimized application performance, resulting in a 30% improvement in responsiveness and a 25% reduction in load times, contributing to increased reliability and user satisfaction.

Education

• Mount Carmel Global School - India

  10th

  2009 — 2017

• GITAM Deemed University

  Bachelor of Technology - BTech, Computer Science and Engineering

  2019 — 2023

• Vishra Junior College

  Intermediate, MPC

  2017 — 2019

• California State University, Los Angeles

  Master of computer science