Vol. 19 — Selected Works

Hyderabad, IN — 17.38°N

Anvesh Maddela — AI & Systems Engineer

Anvesh MaddelaAI & Systems Engineer

Second-year CS student in Hyderabad. I build retrieval systems, agents and the interfaces that make them usable — and I care about the parts you can’t see.

See the work↗

24 repositories · 8 live builds

Python FastAPI LangGraph RAG FAISS React TypeScript Streamlit Node / Express SQL Docker

Selected work — 07 / 21

All repositories ↗
  1. 01 TISW AI tutoring · RAG 2026
  2. 02 CodeMap Code intelligence 2026
  3. 03 YouTube RAG Assistant Video Q&A 2026
  4. 04 ResolveAI Customer support resolution copilot 2026
  5. 05 Blood Emergency Board Emergency matching 2026
  6. 06 Email Spam Classifier NLP · ML 2026
Open Source / 01

Open source — merged upstream

All pull requests ↗
  1. M·01 langchain-ai/langchain 149k★ Fixed quadratic runtime bug in XMLOutputParser.transform() [PR #1, open] 2026
  2. M·02 langchain-ai/langgraph 44k★ Fixed SQLiteSaver.setup() crash with non-stdlib SQLite drivers [PR #1, merged] 2026
  3. M·03 unclecode/crawl4ai 86k★ Fixed FreshnessScorer default year + contributing link typo [PRs #2, #3, open] 2026
  4. M·04 microsoft/semantic-kernel 28k★ Fixed RedisJsonCollection.delete() missing collection prefix [PR #2, open] 2026
  5. D·01 qdrant/qdrant 35k★ Added missing pip install to Python quickstart [PR #1, merged] 2026
  6. D·02 unclecode/crawl4ai 86k★ Fixed contributing documentation link [PR #1, merged] 2026
  7. D·03 microsoft/semantic-kernel 28k★ Fixed FAQS duplicate step numbering [PR #1, merged] 2026

Pull requests in flight across svelte · open-webui · chroma · aider · sglang · cpython — bugs found while building, fixes sent back upstream.

00Public repositories
00Live deployments
00Hackathon builds
19The number
About / 02

Understand the machinery. Build the system. Then make it useful.

  • DegreeB.Tech CSE — Malla Reddy Vishwavidyapeeth
  • Year2nd year · 2024–2028
  • BaseHyderabad, India
  • FocusRAG pipelines · Agents · Systems

I’m a second-year Computer Science student working at the intersection of software engineering and AI. Most of what I know came from building: chunking pipelines, embedding models, vector indexes, retrieval chains, FastAPI backends, LangGraph workflows.

I like taking an idea that sounds simple — “let’s make an AI that understands this” — and finding out what it actually takes to make it true. Build something, find the weak point, understand it, fix it. Repeat. That loop is the closest thing I have to a workflow.

RAG Agentic AI ML systems Developer tools MCP
Toolkit / 03
01 / ML

AI & Machine Learning

Python · NumPy · Pandas · scikit-learn · HuggingFace · Sentence Transformers

02 / Retrieval

LLMs & Agents

RAG · LangChain · LangGraph · FAISS · Embeddings · Agents · Prompting

03 / Backend

APIs & Services

FastAPI · Node.js · Express · REST · SSE · Auth

04 / Frontend

Interfaces

React · JavaScript · Vite · HTML · CSS · Figma

05 / Data

Data & Storage

SQL · SQLite · PostgreSQL · Vector indexes

06 / Runtime

Tools

Git · GitHub · Docker · Streamlit · Jupyter

Contact / 04

Let’s build something that ships.