Available for opportunities

Scalling Intelligence,
Engineering Reliability.

I am an AI and Cloud Infrastructure Engineer with 4+ years of experience bridging ML Engineering, MLOps, and SRE. Building and deploying production-grade ML systems on AWS. 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

AI and Cloud Infrastructure Engineer

Eleftheria Capital, Atlanta, GA
Jan 2026 - Present

  • 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.

Machine Learning Engineer and Teaching Assistant

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 97% accuracy 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.
  • As a TA, I directed technical training for 60+ engineers on Docker and Kubernetes orchestration.

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.
  • Pioneered the company’s first ML initiative: designed an end-to-end automated anomaly detection system for platform logs achieving 92% precision over baseline methods.
  • 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.

Education

Master of Engineering in Cloud Engineering

University of Maryland, College Park

2024 - 2025

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

Otto Von Guericke University, Magdeburg, Germany

2019 - 2023

Bachelor of Engineering in Computer Science and Engineering

Dr. Ambedkar Institute of Technology, India

2013 - 2017

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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