Headline

AI/ML Engineer | Generative AI & Agentic Systems | FastAPI • Python • RAG • Vector Search | Building Autonomous Workflows & Production AI

About

I am an AI/ML Engineer specializing in Generative AI architectures, autonomous agentic workflows, and production-grade backend engineering. My work focuses on bridging the gap between raw machine learning models and scalable, low-latency software. Core Engineering Focus: • Agentic Systems & Autonomous Loops: Designing custom ReAct agents, tool-routing engines, working memory buffers, and budget-capped self-correction pipelines. • Generative AI & RAG: Building hybrid semantic search pipelines using pgvector, ChromaDB, NVIDIA NIM, and Gemini 2.0 Flash with sub-200ms REST API response times. • Full-Stack AI Products: Developing end-to-end architectures using FastAPI, PostgreSQL/Supabase, Redis/Celery, Next.js, and Docker containerization. Key Projects & Highlights: • Hirenix: Full-stack AI career intelligence platform featuring hybrid ATS + pgvector vector search, a real-time LLM interview simulator (<2s latency), and GitHub activity indexing. • Self-Correcting Agent: Framework-less autonomous ReAct agent built from scratch in Python, eliminating confident execution failures from 5/10 to 0/10 via structured evaluator loops. • dolphin-mcp: Open-source Python library and CLI interfacing with Model Context Protocol (MCP) servers across multi-provider LLMs. • Experience across industry internships at MindMatrix (GenAI/Android) and HeproAI (clustering & analytics). Technical Stack: • Languages: Python, JavaScript/TypeScript, Kotlin, SQL • AI/ML & LLM: LangChain, pgvector, ChromaDB, NVIDIA NIM, Gemini API, Groq, PyTorch, scikit-learn, TensorFlow Lite • Backend & Cloud: FastAPI (Async), Django, Flask, PostgreSQL, Supabase, Firebase, Docker, Redis, Celery, GitHub Actions (CI/CD) Open to Entry-level AI/ML Engineer, Generative AI Developer, and Agentic Systems roles. Portfolio: https://sudoanirudh.github.io/portfolio_main/ GitHub: https://github.com/SudoAnirudh Email: anirudhsudheer@gmail.com

Location

Kozhikode

AI stack

anthropic apis

antigravity

codex

cursor

gemini

github copilot

Work experience

Intern at MindMatrixEd, Feb 2026 - May 2026 · 4 mos, Hybrid, • Developed Nimma-Guru, a community mentorship Android app using Kotlin and Jetpack Compose. • Architected a comprehensive solution with Firebase for real-time scheduling and multilingual content. • Integrated Google Gemini 2.0 Flash for AI-powered mentor recommendations and voice interactions. • Designed over 10 responsive Jetpack Compose screens adhering to Material 3 guidelines.

AI/ML Intern at HEProAI, Jan 2026 - Mar 2026 · 3 mos, Remote, • Designed and developed a data-driven framework to analyze student academic and wellness indicators. • Implemented scoring algorithms to generate performance metrics like Academic Score and Career Readiness Score. • Applied machine learning techniques to identify behavioral patterns and segment learners based on readiness.

Open Source Contributor at Hacktoberfest, Oct 2025 - Nov 2025 · 2 mos

Tech Contributor at GirlScript Summer of Code, Jul 2025 - Nov 2025 · 5 mos

Education

Bachelor of Engineering, Artificial Intelligence, Visvesvaraya Technological University (VTU)

Bachelor of Engineering - BE, Artificial Intelligence and Machine Learning, Srinivas Institute of Technology, Mangalore

Public links

github: https://github.com/SudoAnirudh

leetcode: https://leetcode.com/anirudhsudheer

sudoanirudh.vercel.app: https://sudoanirudh.vercel.app/