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Udbhav-regadamilli/README.md

Lakshmi Udbhav

Backend & AI-focused Full Stack Developer

Building scalable APIs, AI-powered products, automation systems, and cost-efficient cloud infrastructure.

LinkedIn · Medium · Email


About

I'm a Full Stack Developer at iQuadra Information Services LLC, with a strong backend and cloud focus. I enjoy turning practical problems into production-ready systems using Python, FastAPI, AWS, React, SQL, automation, and AI/LLM technologies.

My interests sit at the intersection of backend engineering, scalable cloud architecture, AI developer tools, and automation—with an emphasis on reliability, performance, and keeping infrastructure and inference costs under control.

What I Build

  • Backend systems — REST APIs, async services, integrations, and data-intensive applications
  • Cloud applications — AWS serverless and cloud-native architectures using services such as Lambda, S3, API Gateway, and RDS
  • AI-powered products — LLM applications, developer tools, intelligent assistants, and AI workflows
  • Automation — browser automation, workflow automation, and systems that eliminate repetitive manual work
  • Full-stack applications — React frontends backed by scalable Python services

Featured Work

A few areas I actively build and explore:

Area Focus
AI Developer Tools Code assistants, LLM workflows, intelligent development systems
Backend & APIs FastAPI, async Python, API design, integrations
Cloud & Serverless AWS Lambda, S3, API Gateway, RDS, cost-efficient architecture
Automation Selenium, browser automation, workflow optimization
Data & Systems SQL, SQLAlchemy, performance and scalability

See my repositories below for implementations, experiments, and ongoing projects.

Technical Stack

Languages & Frameworks

Languages and frameworks

Cloud, Data & Tools

Cloud, data and tools

AI / ML

Python

AI focus: LLM applications · prompt/context optimization · AI agents and assistants · ML fundamentals · reinforcement learning

Current Focus

  • Building an AI-powered code assistant and exploring reinforcement-learning approaches for developer tooling
  • Deepening system design, scalability, and distributed backend skills
  • Building practical AI applications while optimizing latency, context usage, and inference cost
  • Exploring product ideas around developer productivity, automation, and AI

Engineering Principles

Production over prototypes
Simple architecture before unnecessary complexity
Measure performance before optimizing
Control cloud and inference costs from day one
Build systems that are observable, reliable, and maintainable

Writing & Knowledge Sharing

I write about software development, problem solving, and engineering topics on Medium.

→ Read my articles

Let's Connect

I'm open to interesting engineering projects, AI/automation work, freelance opportunities, and collaborations.

LinkedIn · Medium · HackerRank · TryHackMe · Email me

Pinned Loading

  1. RAG-based-AI-Chatbot-for-PDF-Q-A RAG-based-AI-Chatbot-for-PDF-Q-A Public

    A high-performance RAG pipeline that enables question-answering over PDFs using FAISS, sentence-transformers, and a local LLM (Ollama llama3).

    Python

  2. Homomorphic_encryption Homomorphic_encryption Public

    CSS

  3. DQT DQT Public

    JavaScript