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Ashutosh Upadhyay

Ashutosh Upadhyay

Principal Engineer — Agentic AI & Cloud Platform

Johnson & Johnson Innovative Medicine · Antwerpen, Belgium

12+
Years in Enterprise Cloud
23
Published Technical Posts
35+
Tools Built for AI Agents

I build the platforms that let scientists focus on curing disease instead of fighting infrastructure. As a Principal Engineer with 12 years in enterprise cloud, I specialize in Agentic AI and production-grade platform engineering for pharmaceutical R&D on AWS.

My current focus is embedding AI agents and LLM-assisted workflows into drug discovery pipelines — compressing development cycles and unlocking capabilities that were previously out of reach for science teams. I've architected bioinformatics and MLOps platforms on AWS EKS, migrated critical research pipelines to production-grade Argo Workflows, and built multi-LLM agentic systems using Bedrock, Claude, and OpenAI.

Principal Engineer Dec 2025 – Present
Johnson & Johnson Innovative Medicine · Beerse, Belgium
  • Architecting next-generation AI/ML platform infrastructure for global R&D, enabling scientists and biologists to run large-scale data analytics and ML workloads on AWS EKS.
  • Driving adoption of Agentic AI workflows, leveraging Claude Code and LLM-assisted development to accelerate internal tooling and pipeline development.
  • Collaborating cross-functionally with bioinformatics teams, data scientists, platform security, and R&D leadership to define platform standards and enable self-service capabilities.
Solutions Architect (Partner) Dec 2024 – Dec 2025
Amazon Web Services (AWS) · Brussels, Belgium
  • Owned technical engagement and delivery success on partner implementation projects, developing deep expertise across AWS technologies and how applications are constructed on the platform.
  • Defined implementation architectures and responded to RFPs, applying solution-design best practices and cloud-native use cases.
  • Acted as strategic technical lead in the field, providing architectural guidance to accelerate partner engagements worldwide.
  • Led deep architectural design reviews to ensure world-class, cloud-native solutions ready for production deployment.
  • Managed customer and partner relationships through design, build, and migration to the AWS platform, driving strategic partnerships and cross-team collaboration.
Johnson & Johnson Innovative Medicine Sep 2020 – Dec 2024 · 4 yrs 4 mos
Beerse, Belgium
Principal Engineer Nov 2023 – Dec 2024
  • Led the setup of AWS platforms used by scientists and biologists for data analytics and modeling, ensuring efficient and secure data processing.
  • Implemented cost optimization strategies across 12 AWS accounts, delivering annual savings of over $1.5M.
  • Established Well-Architected Framework reviews across multiple projects, embedding security and architecture best practices.
  • Partnered with AWS on testing and contributing to the Karpenter open-source autoscaler, saving over $500K annually on EKS workloads.
  • Built a proteomics data-analysis pipeline on AWS EKS for the Bioinformatics team.
  • Developed a platform for running Shiny applications (R, Python, Streamlit) on AWS EKS using open-source tooling.
  • Led an ETL migration of HPC data from MongoDB to RDS PostgreSQL, powering PowerBI reporting and analytics.
Lead Engineer Oct 2021 – Oct 2023
  • Led setup of AWS platforms used by scientists and biologists for data analytics and modeling.
  • Delivered cost optimization across multiple AWS accounts, generating significant annual savings.
  • Established well-architected frameworks across projects to embed security and architecture best practices.
  • Piloted new open-source technologies in collaboration with central platform teams.
  • Implemented AWS DataSync to move data from on-prem NAS and instrument PCs into S3.
  • Deployed Karpenter on EKS workloads for faster autoscaling and further cost optimization.
  • Selected for the AWS Subject Matter Expert (SME) program to develop exam items for the AWS Solutions Architect Professional and AWS DevOps Engineer Professional certifications.
  • Led an ETL migration of HPC data out of MongoDB into RDS PostgreSQL with PowerBI dashboards, informing workload analysis and helping secure project funding.
Senior IT Analyst Sep 2020 – Oct 2021
  • Containerized applications on AWS EKS, ECS, and Kubernetes across EC2 and on-prem instances.
  • Deployed R and Python Shiny applications on Kubernetes via ShinyProxy.
  • Implemented Kustomize and Helm charts for containerized workloads.
  • Built GitOps workflows using ArgoCD, Argo Rollouts, and Argo Events.
  • Designed cost-effective, performance-optimized, and secure solutions, including end-to-end encryption at rest and in transit and application-level authentication/authorization.
  • Implemented observability with Prometheus and Grafana.
LTI — Larsen & Toubro Infotech Oct 2017 – Sep 2020 · 3 yrs
Navi Mumbai, India → Beerse, Belgium
Senior Software Engineer — Beerse, Belgium Jan 2019 – Sep 2020
  • Worked as AWS Technical Specialist embedded at J&J (Belgium) for the EMEA region, with expertise in Redshift, EC2, S3, ETL (Talend), and Athena.
  • Applied solution design and BI subject-matter expertise on the AWS platform, improving architecture and reducing total cost of ownership.
  • Led migration of the entire AWS production environment to a new account, including Redshift, S3, EC2, RDS, EMR, and SWF domains.
Senior Software Engineer — Navi Mumbai, India Oct 2017 – Jan 2019
  • Worked as AWS and ETL developer, improving AWS architecture and reducing total cost of ownership.
  • Identified opportunities to introduce AWS services for better platform performance.
Business Intelligence Developer May 2017 – Oct 2017
Amdocs · Pune, India
  • Built data-virtualization views across Teradata, Oracle, Redshift, Vertica, HDFS, and flat files using Cisco Composite for a multi-source BI project.
Cloud Engineer Dec 2016 – May 2017
BlazeClan Technologies · Pune, India
  • Delivered AWS cloud architecture and data profiling for a petrochemical operational-dashboard project using Talend, Redshift, and Tableau.
Capgemini Apr 2014 – Dec 2016 · 2 yrs 9 mos
Pune, India
Senior Software Engineer Apr 2015 – Dec 2016
  • Built and maintained ETL pipelines (Datastage, Teradata BTEQ/MLOAD/FLOAD) and resolved production issues via root-cause impact analysis.
  • Automated a manual job, cutting runtime from 45 hours to 30 minutes with improved accuracy.
Software Engineer Apr 2014 – Apr 2015
  • Early-career ETL development role.
AI Security · Apr 2026
LLM Evaluation · Mar 2026