Open to Opportunities

ARAVIND PRADEEP

AI Engineer —

Designing and shipping agentic systems, multi-agent pipelines, and production RAG architectures. Full-stack GenAI from prototype to deployment.

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Cottbus, Germany

About Me

I'm an AI Engineer based in Cottbus, Germany, with an M.Sc. in Artificial Intelligence from BTU Cottbus-Senftenberg. At Perinet GmbH, I design and ship agentic systems, RAG pipelines, and multi-agent workflows integrated into production IoT platforms.

I ship end-to-end GenAI applications from prototype to deployment using Python, LangChain, LangGraph, FastAPI, Docker, and Kubernetes. I differentiate through LLMOps maturity — Langfuse tracing, MLflow experiment tracking, and RAGAs evaluation — combined with full-stack capability in React and TypeScript.

M.Sc.
Artificial Intelligence
1+
Years at Perinet GmbH
GenAI
Agents, RAG, LLMOps
Full-Stack
Prototype to Production

Experience

Working Student - AI Integration & Agentic Systems

Perinet GmbH | Cottbus, Germany

June 2024 - Present

  • Design and deploy RAG-based conversational agents using Python, LangChain, and Hugging Face, serving 20+ internal users daily via production REST APIs with sub-300ms latency.
  • Build multi-agent pipelines with LangGraph state machines and CrewAI role definitions; structured output parsing and automatic retry logic, reducing manual reporting effort by ~60%.
  • Develop backend services in Python and Golang connecting LLM workflows to real-time sensor data via MQTT; versioned REST APIs with Pydantic validation using FastAPI.
  • Instrument all LLM calls with Langfuse for cost, latency, and quality tracing; track prompt iterations in MLflow, cutting prompt-tuning cycles from days to hours.
  • Containerize and deploy AI services with Docker and Kubernetes; automate CI/CD via GitHub Actions and GitLab for zero-touch releases.

Software Engineer Trainee

Cognizant Technology Solutions | India

Oct 2021 - Aug 2022

  • Contributed to large-scale enterprise systems in agile teams; developed strong coding discipline, debugging practices, and cross-functional stakeholder communication skills.

Projects

Skills

AI / Agents

Agentic Systems / LangGraph Expert
RAG Pipelines / LangChain Expert
Prompt Engineering Advanced
LLMOps (Langfuse / MLflow) Advanced
PyTorch / Deep Learning Advanced

Programming & Backend

Python Expert
FastAPI / REST APIs Expert
Go (Golang) Intermediate
React / TypeScript Intermediate
SQL / PostgreSQL Intermediate

AI Frameworks & Vector DBs

LangGraph CrewAI LangChain Hugging Face OpenAI API Anthropic API Qdrant ChromaDB pgvector RAGAs Langfuse MLflow

Cloud / DevOps

Docker Kubernetes GitHub Actions GitLab CI/CD Azure AWS EC2 Linux MQTT SSE Streaming

GitHub Activity

Aravind Pradeep's Contribution Graph

View on GitHub

Education

M.Sc. Artificial Intelligence (Research Profile)

Brandenburg University of Technology | Cottbus, Germany

Oct 2022 - Est. Dec 2025

Focus: Machine Learning, Computer Vision, Explainable ML, Data Mining

Thesis: Content-Aware ViT Optimization on Edge Devices — pruning, quantization, and edge-hardware benchmarking for Vision Transformers using PyTorch.

B.Sc. Computer Application

BVM Holy Cross College | Kottayam, India

Jul 2018 - Mar 2021

Languages

English
Fluent (C1)
German
B1 Actively Improving
Malayalam
Native

Contact

Feel free to reach out through any of these methods:

Email
aravindpradeep001@gmail.com
LinkedIn
aravind-pradeepmadathinal
GitHub
github.com/axon011
Location
Cottbus, Germany