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Working from home
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Working from home
741 followers · 1.6k following

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Galaxy Brainx3Achievement: YOLOAchievement: QuickdrawAchievement: Public Sponsor

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Galaxy Brainx3Achievement: YOLOAchievement: QuickdrawAchievement: Public Sponsor

Highlights

Organizations

@Py-Contributors @Design-and-Code

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grwth404/README.md
Ace200. Software Engineer | AI. Building reliable software, powered by AI, and running in the cloud. Better systems for a smarter tomorrow. whoami: user grwth404, role Software Engineer | AI, focus Data to Model to Product to Deploy, interests LLMs, RAG, AI agents, system design and DevOps, languages Python, TypeScript and Go, architecture scalable, reliable and maintainable, mindset Build, Learn, Improve. What I build: scalable software solutions that combine modern engineering practices with AI and product thinking. Tech stack. Languages: Python, TypeScript, Go, SQL. Frontend and backend: React, Next.js, FastAPI, Node.js. AI and ML: PyTorch, LangChain, OpenAI, RAG, Agents. Databases and tools: PostgreSQL, Redis, Git, Linux. System architecture, from data to model with AI in the loop: User, Frontend (web and mobile), API Gateway (load balancer), Application Services, then LLM and AI services, vector database and database, then cloud infrastructure on AWS, Kubernetes and Terraform, with monitoring and logging across the system. AI mindset: augment, don't replace; build for real users; data to insight to action; continuous learning. Current focus: LLM, RAG and AI agents (exploring), system design (deepening), backend engineering (building), machine learning (learning). Let's connect. Open to collaboration, opportunities, and good conversations.

Portfolio: grwth404.vercel.appLinkedIn: linkedin.com/in/grwth404Email: grwth404@gmail.comBuild, learn, grow.

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  1. Quiznote Quiznote Public

    An AI-powered quiz generator for creating quizes from your notes and textbooks | Powered by Google Gemini

    TypeScript 29

  2. Sequence_Scheduling Sequence_Scheduling Public

    PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".

    Python 29