Prajwal Umesh Nagalakshmi

Full Stack Engineer

United States1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Architected scalable microservices platform handling 200K+ requests.
Built AI security SDK integrating complex workflows.
Reduced checkout times by 60% at Appleute.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in AI and Distributed Systems.

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Skills

Core Skills

Curriculum DevelopmentPython (programming Language)React Native

Other Skills

Problem SolvingProgrammingGitHTMLNestJSLangGraphGitHub APIFine TuningBrowser AutomationC++LinuxDockerSystems ProgrammingJavaScriptNode.js

About

Software Engineer | Distributed Systems & AI Agents | MSCS Grad (Dec 2025) I am a Software Engineer specializing in backend architecture, full-stack development, and AI agentic workflows. I build systems that scale. What I Build: Scalable Distributed Systems: Architected DealCart+, a microservices platform with gRPC streaming, SAGA transactions, and auto-scaling, load-tested to 200K+ concurrent requests. AI Agents & Full Stack: Built Agent Sentinel (AI security SDK, LangGraph) and LegacyLens (AI code scanner), integrating complex agent workflows with Next.js/FastAPI architectures. Systems & Performance: Engineered NanoKV, a multithreaded C++ key-value store achieving 104K+ QPS with epoll/kqueue and a custom binary protocol. Professional Impact: Volunteer Full Stack Developer at Saayam For All, contributing to GenAI, migrating legacy LLM code to LangChain and refactoring Lambdas into modular API layers so far. Previously at Appleute, I reduced checkout times by 60% and boosted user engagement by 40%. I enjoy solving hard problems, whether shaving milliseconds off an API response or designing thread-safe event registries for distributed systems. Beyond the Code: Section Leader for Stanford's Code In Place, STEM/Math Instructor at CSUDH. I break down complex logic for diverse audiences and write clear documentation. Tech Stack: Python, TypeScript, C++, FastAPI, AWS, Docker, LangGraph, React. Open to New Grad Software Engineering roles (Backend / Full Stack / AI). Let's build something reliable.

Experience

Saayam for all

Full Stack Developer

Feb 2026 – Present · 1 mo · San Jose, California, United States

California state university dominguez hills, toro auxiliary partners

Stem Instructor / Math Tutor

Oct 2023 – Oct 2024 · 1 yr · Carson, California, United States · On-site

● Mentored students in quantitative problem-solving, translating complex mathematical logic into digestible steps for diverse audiences
● Designed structured learning modules and documentation, refining the organizational and presentation skills used in technical walkthroughs.
● Diagnosed and debugged gaps in student understanding, applying targeted teaching strategies that resulted in measurable performance improvements.
● Cultivated a collaborative learning environment, demonstrating the patience, empathy, and clear communication essential for engineering team dynamics.

Curriculum DevelopmentProblem Solving

Stanford university: code in place

Section Leader

Apr 2023 – May 2023 · 1 mo · Remote

● Facilitated weekly live debugging and code review sessions for a cohort of 10–15 students, teaching Python fundamentals and problem-solving patterns from Stanford’s CS106A curriculum.
● Provided technical mentorship on weekly programming assignments, helping students diagnose logic errors and helping them refactor code for better readability and efficiency.
● Managed a diverse, global remote classroom, fostering collaboration and strengthening the cross-cultural communication skills essential for distributed engineering teams.

Python (Programming Language)Programming

Appleute

Software Engineer Intern

Oct 2021 – Mar 2022 · 5 mos · Bengaluru, Karnataka, India

● Developed Betra, an AI-powered cashierless shopping platform, building the complete React Native mobile app with QR authentication, digital carts, and automated payments.
● Delivered 40% improvement in user engagement through performance optimization and 25% faster API response times using NestJS.
● Implemented internationalization and offline support, collaborating across teams to launch a production-ready MVP that modernizes retail experiences.

GitHTML