Chetan Mandloi

Technical Architect @Cognizant

Mainz, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2024 — Present

Technical Architect @Cognizant

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Mainz, DE

EDUCATION

N/A

Liverpool John Moores University

Master of Science - MS

2020 — 2021

International Institute of Information Technology Bangalore

PG Diploma in Machine Learning & Artificial Intelligence August 31st 2020 - Course 1 & 2

1995 — 2008

Sharda Higher Secondary School, Anjad

HSC

2008 — 2012

Indore Institute of Science & Technology, Indore

Bachelor of Engineering (BE)

SKILLS

Javaserver Pages (Jsp)JavascriptCore JavaJspJava Enterprise EditionOracleRequirements AnalysisJavaSqlSoftware DevelopmentC++HibernateHtmlDocumentumCWeb ServicesPl/SqlUnixXml

ABOUT CHETAN MANDLOI

12+ years of experience in Life Sciences IT, specializing in Veeva Vault (RIM, ClinOps, QMS), large-scale data migration, and system integration projects. Strong track record of delivering end-to-end migration and transformation programs across Regulatory, Clinical, and Quality functions, ensuring compliance with GxP, 21 CFR Part 11, Annex 11, EMA/FDA standards. Skilled in cloud-native solutions (AWS Glue, Lambda, Step Functions), enterprise migration tools (FME Migration Centre, Content Bridge), and Veeva SDK development for customization and automation. Experienced in leveraging machine learning (NLP, classification, anomaly detection, predictive modelling) to enhance data quality, automate regulatory processes, and support decision-making and including building GenAI applications using LLMs. Bridging technical and business roles, I bring proven expertise also includes business analysis, and stakeholder engagement, enabling smooth collaboration between IT and functional teams. • Life Sciences Platforms: Veeva Vault (RIM, Clinical Ops, QMS)| Documentum | D2LS • Data Migration & Cloud: AWS Glue, Lambda, Step Functions | FME Migration Center | Content Bridge | Vault Loader • Integration & SDK Development: Veeva SDK, JAVA REST APIs, Middleware Integrations, Custom Extensions, Python • Machine Learning & AI: Data Preprocessing, NLP for Regulatory Docs, Predictive Analytics, Classification & Clustering, Anomaly Detection, implementing the LLM use cases, ML Pipeline Deployment • DevOps & CI/CD: Git, Jenkins, Terraform (IaC), Automated Deployment Pipelines • Programming & Databases: Python (Pandas, Scikit-learn, TensorFlow, PyTorch), Java, Oracle SQL • Business Engagement: Agile & Waterfall, Requirement Gathering, Risk Management, Stakeholder Communication, Process Documentation • Regulatory & Compliance: GxP, 21 CFR Part 11, Annex 11, EMA/FDA Regulatory Standards

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Chetan Mandloi — Technical Architect at Cognizant in Mainz, DE | Unifers