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Shreyank Saparia

@shreyanksaparia

AI/ML Engineer with a Master’s in Computer Science from TU Berlin. Skilled in building ML models, automating workﬂows, and driving data-driven decisio

Germany

Message

What I'm looking for

I'm looking to build technically sound, operationally efficient AI and ML solutions, especially automation, AI agents, evaluation systems, and data-driven products where I can keep learning and innovating.

I've built AI workflow automation for Testing Bulls Pvt Ltd, including RAG evaluation with RAGAS that increased airline-chatbot answer faithfulness by 22% and reduced manual evaluation effort by 70 hours per sprint.

At Fraunhofer FOKUS, I designed an end-to-end automated 5G resource-management workflow spanning data collection, model training, prediction, and auto-provisioning, reaching 80% accuracy with PyTorch. I also automated distributed ETL deployments and shipped 5G core software to AWS ECS with single-click deployment.

In contract work with Vodafone, I automated employee IT issue resolution using a LangChain and OpenAI agent, reducing manual ticket handling by 40%. I also built AI-agent testing and OCR automation systems that reduced HR processing time by 65%.

I'm focused on technically sound, operationally efficient AI solutions, from generative AI and computer vision to data pipelines, cloud deployment, and robust ML evaluation.

Experience

Work history, roles, and key accomplishments

Current

Full Stack AI/ML Engineer

Current

Freelance

Aug 2025 - Sep 2026 (1 year 1 month)

Built an Intelligent Decision Automation Platform (workflow builder with AI/ML nodes, triggers, API calls, custom code) cutting manual effort 70%; a multi-agent procurement system; an e-commerce RAG assistant; a multilingual conversational AI platform; and a financial AI agent. RAGAS evaluation lifted answer faithfulness 22% and cut hallucinations 30% on 2,000+ QA pairs.

AI/ML Engineer

Vodafone

Feb 2025 - Jul 2025 (5 months)

Automated employee IT issue resolution with a LangChain + OpenAI agent, reducing manual ticket handling by 40%. Built an automated testing framework for AI agents that validates responses, detects hallucinations and runs regression tests on prompt changes. Developed a Tesseract/Python OCR system for employee forms, cutting HR processing time by 65% across 200+ submissions daily.

Machine Learning Engineer

Fraunhofer FOKUS

Jun 2021 - Dec 2024 (3 years 6 months)

Designed an end-to-end automated 5G resource management pipeline (data collection, model training, prediction, auto-provisioning) reaching 80% accuracy with PyTorch. Automated distributed ETL deployment via Python and REST APIs, cutting data prep time by 70%. Shipped 5G core software to AWS ECS with single-click deployment and deployed Semaphore on Kubernetes/Docker via Helm charts.

Data Analyst

BYJU'S

Apr 2018 - Dec 2018 (8 months)

Developed Tableau dashboards to visualize learning data and identify key student preferences, informing content strategy. Built and optimized data pipelines processing 100K+ student interactions to enable structured insights into learning behavior.