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Building Solutions to Hard Problems
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Building Solutions to Hard Problems
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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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RamyaLakshmiKS/README.md

Ramya Lakshmi Kuppa Sundararajan

Full Stack AI Software Engineer x Data Scientist

Ramya's memoji

Building end-to-end AI-powered products from intelligent backends and agentic orchestration to production-ready UIs, complete with full observability and tracing

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About Me

I'm a Full Stack AI Software Engineer who builds complete, production-grade AI systems from intelligent backend APIs and multi-agent orchestration to interactive frontends and cloud deployments.

My edge is the full vertical: I apply data science rigor (statistical evaluation, experimentation, observability) to every layer of the stack, so AI features don't just work in a demo, they perform predictably at scale.

Tech Stack

🖥️ Frontend & UI

Building interactive AI apps, dashboards, and data interfaces

React Astro JavaScript TypeScript HTML5 CSS3 Streamlit Gradio Plotly Matplotlib Seaborn

🍎 iOS Development

Native Apple platform development with on-device AI capabilities

Swift SwiftUI UIKit AVFoundation Core AI Apple Foundation Model

⚡ Backend & APIs

Scalable APIs, agentic pipelines, and serverless compute

Node.js Python FastAPI Cloudflare Workers SQL

🤖 AI Systems & LLM Engineering

Agentic architectures, RAG, prompt optimization, and evaluation

Anthropic Claude OpenAI Google Gemini Groq LangChain LlamaIndex HuggingFace

📊 Data Science & Machine Learning

Statistical rigor from data to model: supervised/unsupervised learning, deep learning, evaluation

scikit-learn PyTorch TensorFlow Pandas NumPy MLflow Weights & Biases

🗄️ Databases & Vector Search

Semantic search and retrieval backends for AI applications

Pinecone ChromaDB FAISS Weaviate Cloudflare Vectorize

🧑‍💻 AI-Assisted Coding

Accelerating development with AI pair-programming tools

Claude Code GitHub Copilot OpenAI Codex

☁️ Cloud & DevOps

Containerized, cloud-native deployments

AWS GCP Docker Kubernetes Terraform GitHub Actions CI/CD

🧩 Core Fundamentals

Engineering principles and practices that underpin every layer of the stack

Data Structures & Algorithms Object-Oriented Design Test Driven Development Agile SDLC Operating Systems Jira Confluence

Current Focus

▸ Full Stack AI Products     ████████████░░   End-to-end apps from UI to agentic backend
▸ Agentic Systems            ████████████░░   Production-grade multi-agent pipelines
▸ RAG & Vector Search        ███████████░░░   Grounding LLMs on real-world enterprise data
▸ AI Evaluation              █████████░░░░░   Robust eval + observability frameworks
▸ Cloud-Native Deployment    ████████░░░░░░   Serverless AI on AWS, GCP & Cloudflare

Let's Connect

Actively looking for Full Time roles, Available Immediately!

📬 Connect on LinkedIn
📧 Email me
✍️ Read my thoughts on Substack

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  1. cf_ai_approvalflow-ai cf_ai_approvalflow-ai Public

    Production-grade agentic AI system that automates enterprise approval workflows. It processes natural language requests (chat/voice/image), extracts details, checks policies in Vectorize, auto-appr…

    TypeScript 2 1

  2. agentic_software_team agentic_software_team Public

    Multi-agent system orchestrating an AI-driven software team using the Claude Agents SDK. Agents take on defined roles and collaborate autonomously on software tasks.

    Python

  3. Entropy-based-Game-using-LLM Entropy-based-Game-using-LLM Public

    Interactive AI-powered Bulls & Cows game with LLM-driven move generation and natural language interaction.

    Python

  4. Verifiable-RAG Verifiable-RAG Public

    Verifiable RAG is designed to eliminate AI hallucinations in high-stakes data analysis. It transforms generative AI into a transparent, audit-ready partner by forcing every extracted insight to be …

    TypeScript