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Kishan Ajudiya

@kishanajudiya

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MLOps and AI engineer building scalable LLM, CV, and analytics systems.

Germany

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What I'm looking for

I’m looking for a role where I can build and scale LLM/MLOps and data pipelines—deploying models on Kubernetes/AWS, improving observability, and delivering measurable improvements in latency, accuracy, and operational reliability.

GenAI and MLOps engineer focused on running open-source LLMs in production. I currently run the onpremise LLM infrastructure at a research institution: serving models on Kubernetes with vLLM, building and evaluating RAG pipelines, and right-sizing GPU capacity before hardware is purchased. I also work on computer vision, including models deployed to edge devices

Experience

Work history, roles, and key accomplishments

Current

Wissenschaftlicher Mitarbeiter

Current

Hochschule Flensburg

Jan 2025 - Present (1 year 5 months)

Deployed on-premise LLM/VLM systems on Kubernetes with vLLM to scale to ~500 concurrent users with low latency. Built RAG procurement chatbot and monitoring/analytics pipelines, improving retrieval and reducing incident detection time by ~30%.

Kubernetes VLLM Grafana RAG Bots

Master thesis - Deep Learning

AL-KO Geräte GmbH

Apr 2024 - Sep 2024 (5 months)

Developed a proof of concept for real-time robotic lawn mower obstacle avoidance using YOLO-based detection. Optimized deployment by converting YOLO to NCNN for Raspberry Pi 5 to reduce inference time without compromising accuracy.

Raspberry Pi NCNN Model Conversion Embedded Inference Computer Vision

Werkstudent - Image processing

Continental Ag

Jan 2023 - Dec 2023 (11 months)

Optimized fused sensor inputs by filtering redundant/non-essential data to streamline controls for Matrix LED headlight operation. Improved real-time LED dimming responsiveness by simplifying and formatting filtered data for oncoming and preceding vehicles.

Matrix LED Headlight Control Real time Data Processing data preprocessing Sensor Fusion

Data Analyst

Marshal Agro

Mar 2021 - Apr 2022 (1 year 1 month)

Built an interactive Power BI dashboard providing real-time visibility into revenue, sales, and profit contribution across markets and customer segments. Analyzed and visualized revenue and margin trends to support data-driven decisions by the management team.

Power BI Trend Analysis Data Visualization Customer Segmentation