Bhavesh Sadhu
@bhaveshsadhu
Generative AI Solution Architect bridging LLM engineering with enterprise infrastructure at scale.
What I'm looking for
I’m a Generative AI Solution Architect who bridges LLM engineering with enterprise infrastructure at scale. I design and demo Retrieval-Augmented Generation (RAG) and Agentic AI workflows in production, pairing vLLM and KServe with production-ready safety using NeMo Guardrails.
I architect GPU-accelerated MLOps pipelines for distributed training and inference, translating deep hands-on engineering into clear architecture decisions that accelerate customer time-to-value. In partner and enterprise engagements, I’ve delivered end-to-end PoCs that became reusable reference architectures, reducing subsequent timelines by 35%.
Beyond GenAI, I bring strong infrastructure automation and operational rigor—building Terraform and Ansible modules, GitOps deployment pipelines with ArgoCD, and multi-cluster governance with security controls for regulated industries. My background spans SRE-style reliability (99.5% uptime) and full-stack engineering (RESTful microservices, performance tuning, and CI/CD), so I can connect platform capabilities to measurable business outcomes.
Experience
Work history, roles, and key accomplishments
Served as a technical advisor for the Red Hat portfolio across 20+ partner accounts, supporting architecture-led proposals, RFP/RFI responses, and product demonstrations. Architected and demoed production RAG and LLM inference solutions on OpenShift AI, and led enablement, PoCs, and infrastructure automation for high availability and disaster recovery.
Automated multi-cloud infrastructure provisioning using Terraform and Ansible with GitOps delivery via ArgoCD, reducing deployment overhead and eliminating configuration drift. Implemented security/compliance with Red Hat ACS/ACM and built observability for OpenShift using Prometheus and Grafana.
DevOps/SRE AI-ML Ops Engineer
Scaledge Technology
Oct 2021 - Jul 2022 (9 months)
Architected end-to-end MLOps pipelines on Kubernetes (AKS) using Azure DevOps, Terraform, and Ansible, integrating Kubeflow, MLflow, and KServe for distributed training and real-time inference. Operated SLO-driven monitoring and delivered reliable GPU-accelerated inference platforms with RBAC hardening, network policies, and OPA enforcement.
Hardware & Silicon Verification Engineer
Scaledge Technology
Apr 2021 - Sep 2021 (5 months)
Built hardware verification frameworks in C/C++ for silicon validation, developing and maintaining testbenches for functional, timing, and error-handling across memory interfaces. Automated regression workflows with Jenkins CI/CD and supported defect triage to reduce validation turnaround time.
Software Engineer
Gateway Group
Aug 2018 - May 2020 (1 year 9 months)
Developed RESTful APIs and microservices using .NET Core/C# and improved performance by identifying and remediating ORM N+1 query patterns and adding Redis caching. Optimized SQL Server databases and implemented CI/CD with Jenkins, along with centralized logging and middleware for reliability across releases.
Software Engineering Intern
Gateway Group
Jan 2018 - Jul 2018 (6 months)
Worked on MEAN stack development, building initial REST API endpoint prototypes and assisting with SQL Server schema design and unit tests. Gained experience with Agile/Scrum practices, Git workflows, and CI/CD fundamentals in a production engineering team.
Education
Degrees, certifications, and relevant coursework
BITS Pilani (WILP)
Master of Technology, Artificial Intelligence & Machine Learning
2025 -
Pursuing an M.Tech in Artificial Intelligence & Machine Learning through BITS Pilani (WILP) starting in 2025.
Dharmsinh Desai University - Nadiad
Bachelor of Technology, Information Technology
2018 -
Enrolled in a B.Tech in Information Technology at Dharmsinh Desai University (Nadiad) starting in 2018.
Nirma University - Ahmedabad
Diploma in Information Technology, Information Technology
2014 -
Completed a Diploma in Information Technology at Nirma University (Ahmedabad) starting in 2014.
Tech stack
Software and tools used professionally
Microsoft Azure
GitHub
Kubernetes
Jenkins
GitHub Actions
PostgreSQL
MongoDB
Gmail
Node.js
.NET Core
.NET
Redis
Terraform
Azure DevOps
JavaScript
ASP.NET
TensorFlow
PyTorch
MLflow
scikit-learn
Kubeflow
Istio
PagerDuty
Grafana
Prometheus
OpenTelemetry
etcd
Red Hat OpenShift
Milvus
Ansible
GuardRails
CUDA
SQL
IBM Cloud
SELinux
Hugging Face
Podman
LangChain
Ollama
ChromaDB
KubeVirt
KServe
vLLM
Tekton
ArgoCD
Ragas
Bash
pgvector
Agentic
LangGraph
Middleware
Kustomize
Check
Jan
Availability
Location
Authorized to work in
Job categories
Skills
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