Available immediately

Applied AI Engineer · Saarbrücken, Germany

Ritika Hiremath —
building AI
that ships.

M.Sc. Computer Science graduate specialising in LLMs, RAG pipelines, agentic systems, and real-world AI deployment.

LangGraph RAG Pipelines Multi-Agent Systems MCP PyTorch LangChain HuggingFace FastAPI Docker Chroma Kotlin Python A2A Protocol n8n Stem Agent LLM Evaluation LangGraph RAG Pipelines Multi-Agent Systems MCP PyTorch LangChain HuggingFace FastAPI Docker Chroma Kotlin Python A2A Protocol n8n Stem Agent LLM Evaluation

About

An engineer who
gets things done.

I am an Applied AI Engineer with an M.Sc. in Computer Science from Universität des Saarlandes. I build agentic systems, RAG pipelines, and LLM-powered applications that go from idea to production — not just demos.

My Master thesis required building an end-to-end LLM evaluation pipeline from scratch: custom dataset, model inference, benchmarking across four prompting strategies, and statistical analysis. I treat engineering problems the same way: own the full loop.

I hold certifications in Anthropic MCP, Hugging Face Agentic AI, and the Google and Kaggle AI Agents Intensive covering the Agent2Agent (A2A) protocol. I use Claude Code, Cursor, and GitHub Copilot daily as primary development tools.

Outside of tech: cooking, trekking, and the gym keep me grounded.

81%

Accuracy on Bosch anomaly detection (AEGuard)

20+

REST APIs built and deployed at LYBL internship

AI and agentic certifications (Anthropic, Google, HuggingFace)

90%

Planning effort reduction via Matin multi-agent system

Certifications

🟠

Introduction to MCP

Anthropic · Dec 2025

🔵

5-Day AI Agents Intensive (A2A Protocol)

Google & Kaggle · Dec 2025

🟡

Agentic AI with LLMs

Hugging Face · Oct–Nov 2025

🟢

Data Science with Python

Edureka · Mar–Jun 2020

Experience

Where I've worked.

Oct 2025 – Apr 2026

Tutor — Human Computer Interaction

Saarland University

Conducted tutorial sessions, guided students through group projects, and collaborated with fellow tutors to support lecture delivery.

HCIUX/UILeadership

Sep 2025 – Mar 2026

Research Assistant — Software Engineering

Saarland University

Designed Python data pipelines to analyze developer collaboration networks in open-source repositories. Contributing findings to the codeface-extraction open-source project (contribution in review).

RPythonNetwork AnalysisOpen Source

Apr 2024 – Apr 2025

Research Assistant — German HCI Community

Carl von Ossietzky University · Remote

Revamped the GermanHCI Community website from the ground up, owning design, prototyping, and the full-stack development lifecycle to improve user engagement and accessibility.

JekyllRubyJavaScriptFigmaSCSS

Jan 2023 – Aug 2023

Software Engineer Intern

LYBL · Bangalore

Built an AI-powered recommendation engine and developed 20+ REST APIs in a microservices architecture with Docker and CI/CD pipelines. Implemented unit tests for production readiness. Participated in agile sprints.

JavaSpring BootKafkaMongoDBDockerRedisCI/CD

Sep 2022 – Jan 2023

Web Development Intern

Cresurge · Bangalore

Developed the company website from initial concept to delivery, collaborating directly with the CEO and design team.

React.jsMUICSS

Projects & Research

Things I've built.

🌱

Stem Agent — Self-Specialising AI System

A minimal agent that reads a task class, figures out how that class of problems is typically solved, and grows into a specialised agent on its own. Built for a JetBrains AI Engineering internship task. Three-phase LangGraph loop: Observe, Specialise, Validate. Evaluated on SWE-bench Lite across django, sympy, and requests repos.

LangGraphSWE-benchOpenAI APIPythonLLM Eval

github.com/RitikaHiremath/stemAgent →

🎓

LLM Code Intelligence — Master Thesis

Investigated LLM comprehension of Kotlin code structure at the data-flow level. Constructed a custom Kotlin dataset covering def-use chains, control flow graphs, and program slicing tasks. Benchmarked DeepSeek Coder 6.7B and OpenAI API across Zero-shot, CoT, One-shot, and One-shot CoT strategies. Applied statistical analysis in R to surface systematic failure modes.

KotlinPyTorchDeepSeek CoderHuggingFaceROpenAI API

🔗

LangGraph RAG Chat Application

Full RAG pipeline with document ingestion, Chroma vector indexing, and retrieval-augmented Q&A. Multi-step LangGraph orchestration via conditional graph routing, memory management, and retrieval nodes. Exposed via FastAPI backend.

LangGraphLangChainChromaFastAPIRAGEmbeddings

github.com/RitikaHiremath/RAG_bot →

🤖

Matin — Multi-Agent Concierge

Multi-agent system using Google ADK with MCP tool services and persistent session memory. Implemented intelligent task routing and multi-step agent communication workflows. Trained in Agent2Agent (A2A) protocol. Reduces planning effort by 90% through automated task decomposition.

Google ADKMCPA2A ProtocolMulti-AgentLLMs

⚙️

n8n AI Workflow Automation

Building automated AI workflows using n8n low-code platform, integrating LLM APIs with trigger-based orchestration and webhook integrations to prototype intelligent automation pipelines rapidly.

n8nLLM APIsWorkflow AutomationWebhooks

🏭

AEGuard — Bosch Anomaly Detection

Led a 5-member team through the full ML lifecycle: data acquisition, feature engineering, LSTM model training, evaluation, deployment, and real-time monitoring. Achieved 81% accuracy and 0.79 F1, outperforming SVM and XGBoost baselines. Built an interactive dashboard for model observability.

PyTorchscikit-learnDockerLSTMMLOps

github.com/RitikaHiremath/DataScience →

💬

DistilBERT Sarcasm Detection

Fine-tuned DistilBERT for domain-specific NLP classification using Hugging Face Transformers. Benchmarked zero-shot and few-shot prompting strategies against fine-tuned performance to identify optimal model selection trade-offs.

DistilBERTHuggingFaceFine-TuningNLP

🤲

Smart Glove for Sign Language

Co-authored research on wearable TinyML-powered gloves for real-time translation of hand gestures. Demonstrated experience with edge AI model deployment and on-device inference constraints.

TinyMLWearablesEmbedded AI

Ritika Hiremath —
building AI
that ships.

An engineer who
gets things done.

Where I've worked.

Things I've built.

My toolkit.

Let's talk.

Ritika Hiremath —building AIthat ships.

An engineer whogets things done.

Where I've worked.

Things I've built.

My toolkit.

Let's talk.

Ritika Hiremath —
building AI
that ships.

An engineer who
gets things done.