Available for opportunities

Scaling Intelligence, Engineering Reliability.

I am an Engineer with experience in bridging Infrastructure, Site Reliability Engineering, ML Ops, ML Engineering. I have architected 0-to-1 production-grade ML systems on AWS, GCP. Proven impact: cut federal compliance check time by 90% via Agentic AI pipelines, achieved 92% anomaly detection precision, maintained 99.99% availability for provider-level hybrid cloud and reduced MTTR by 25% across multi-cloud IaaS. Uniquely positioned at the intersection of AI/ML engineering and cloud reliability.

Experience

Infrastructure Engineer

Eleftheria Capital, Atlanta, GA
Jan 2026 - Present

  • Architected and deployed a 0-to-1 end-to-end ML- driven trading strategy and sentiment analysis pipeline, deployed to AWS.
  • Designed a low-latency options trading infrastructure using Terraform, Docker, and Kubernetes for zero-downtime execution in AWS.
  • Engineered an end-to-end ML- driven trading strategy and sentiment analysis pipeline, deployed to AWS.
  • Developed Python and Bash automation scripts for data ingestion and service releases to run strategy logic.
  • Maintaining optimal infrastructure health via Linux administration, performance tuning, and Prometheus/Grafana observability pipelines.
  • Maintaining reliable CI/CD pipelines using GitHub Actions for seamless IaC updates and service rollouts.

AI and Cloud Infrastructure Engineer

SPARCS and MAGE, University of Maryland, College Park, MD
Feb 2024 - Dec 2025

  • Engineered an automated research proposal review pipeline using Agentic AI, RAG, and OCR (AWS Textract, Bedrock), reducing federal compliance check time by 90% and mitigating the risk of funding cancellations.
  • Built a production-grade NLP translation pipeline, achieving BLEU score of 44 to enhance cross-lingual research.
  • Delivered proactive GCP cloud support eliminating critical system downtime for stakeholders.
  • Evaluated the use of cutting edge AI tools and frameworks to enhance research funding opportunity discovery and compliance processes.
  • Directed technical training for 60+ engineers on Docker and Kubernetes orchestration.

Machine Learning Infra Engineer

SysEleven GmBH, Berlin, Germany
Mar 2022 - Apr 2023

  • Designed 0-to-1 log anomaly detection system on real OpenStack production data with log parsing (Drain, Regex), word embeddings, dimensionality reduction, feature engineering, LSTM/Bi-LSTM, and ensemble methods (Isolation Forest, COPOD, ECOD) achieving 92% precision, 90% recall over individual baseline models.

Site Reliability Engineer

SysEleven GmBH, Berlin, Germany
Jul 2021 - Dec 2023

  • Maintained a hybrid multi-cloud IaaS (OpenStack, AWS S3) using Ansible and Terraform, ensuring 99.99% availability for enterprise tenants; configured and managed Linux-based KVM/QEMU hypervisors.
  • Provisioned and maintained bare-metal servers with OS installations, OpenStack configurations (Nova, Cinder, Neutron), system patching, OS upgrades, and capacity planning.
  • Expanded provider-level observability via Prometheus queries and Grafana dashboards/alerts; tracked SLIs/SLOs, reducing MTTR by 25%.
  • Troubleshooting platform-level network connectivity and DNS failures across tenant environments using standard Linux diagnostic tools.
  • Participated in on-call rotations and blameless post-mortems; wrote Python/Bash automation for operational tooling and maintained platform-wide CI/CD pipelines to reduce toil.

Technical Support Engineer

SAP LABS (Ariba Sourcing), India, Bangalore
Mar 2019 - Apr 2020

  • Supported Fortune 500 clients on SAP Ariba Sourcing under strict enterprise SLAs (1-hr acknowledgment / 4-hr L2 / 12-hr L3), directly accountable to client success managers for procurement-critical incidents.
  • Reduced repeat incident volume 30% by building an internal knowledge base of root cause patterns and resolution playbooks, cutting escalation time across the support team.

Education

Master of Engineering in Cloud Engineering

University of Maryland, College Park

Master of Science in Data and Knowledge Engineering (Applied ML)

Otto Von Guericke University, Magdeburg, Germany

Bachelor of Engineering in Computer Science and Engineering

Dr. Ambedkar Institute of Technology, India

Projects

Ecommerce Application And Deployment Using AWS

Ecommerce application built and deployed on AWS for scalable hosting and storage.

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Clinical Decision Support System Of Cervical Intraepithelial Neoplasia Using Machine Learning

Machine Learning model built to detect Cervical Intraepithelial Neoplasia (CIN).

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Doctor Appointment Booking System Deployment Using Kubernetes

An application for booking doctor appointments deployed using Kubernetes.

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Opentelemetry Application using Docker and Kubernetes

Opentelemetry application deployed using Docker and Kubernetes for monitoring and observability.

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Other Projects

For other projects, please visit my GitHub profile.

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