Tanay Maheshwari
Cloud & DevOps Engineer | ML Infrastructure Specialist
MS in Computer and Information Technology at Purdue University. Passionate about building scalable cloud infrastructure, Kubernetes orchestration, and ML deployment pipelines. Google Cloud Certified Professional and Certified Kubernetes Administrator.
Research & Projects
Ceph DPU Offload
Thesis Research - Purdue University
Designed Ceph Client offload using SPDK and NVIDIA BlueField DPUs; reduced host CPU utilization by up to 90% while improving throughput, enabling DPU-accelerated encryption and compression.
Research Project - Purdue University | IEEE ANTS 2025
Co-authored a unified Kubernetes autoscaler and scheduler framework for LLM inference; achieved 64% higher token throughput, 25% faster inference completion, and 11.5× greater pod density using custom metrics and GPU-aware scheduling.
Research Project - NMIMS | ICACDS 2021
Developed a browser extension and ML pipeline to detect suicidal ideation in social media posts using NLP and classification models, achieving over 90% accuracy.
Education
Purdue University
Master of Science in Computer and Information Technology
GPA: 4.0/4.0 | August 2024 - Present
West Lafayette, IN
NMIMS
Bachelor of Technology in Computer Engineering
GPA: 3.2/4.0 | August 2017 - May 2021
Mumbai, India
Certifications
Google Cloud Certified
The Linux Foundation
Professional Experience
Research Assistant
Purdue University
- • Built a real-time traffic analytics dashboard for Indiana Department of Transportation using Next.js, TypeScript, and Turf.js, aggregating data from 10+ sources
- • Implemented advanced filtering and visualization features with D3.js and Recharts, enabling cause-effect analysis and temporal pattern discovery
- • Deployed the platform on Google Cloud Platform using Cloud Run and BigQuery to process 30M+ traffic data records with sub-2s dashboard loads
Senior Platform Engineer
Quantiphi
- • Led design and development of a document intelligence pipeline using Vertex AI, processing and scoring 5,000+ legal documents
- • Led deployment of a multilingual speech services platform using NVIDIA Riva, NeMo, and Triton Inference Server with optimized hybrid-cloud clusters across GCP and Azure
- • Architected an end-to-end computer vision system using Google edge devices and Vertex AI Vision, achieving >95% accuracy in knot detection
Framework Engineer
Quantiphi
- • Led cloud onboarding for a Fortune 100 automaker, migrating 100TB+ of on-prem data to BigQuery
- • Enabled org-wide adoption of Data Fusion and Astronomer via demos, onboarding, and documentation
- • Deployed scalable GCP infrastructure with Terraform and streamlined CI/CD workflows for 900+ engineers using OpenShift Tekton