Full Stack AI Engineer
SUMMARY
Full Stack AI Engineer with 5+ years of experience designing, developing, and deploying AI-powered applications. Expert in Python-based AI/ML model development and orchestration, with advanced React skills for building dynamic GenAI-enabled user interfaces. Proven proficiency in Azure cloud services and implementing Responsible AI practices. Strong background in cloud infrastructure automation, microservices architecture, and CI/CD automation, with extensive experience in modern application design and secure AI service integration.
EXPERIENCE
Full Stack AI Engineer
- Worked with AI Foundry and Azure services to develop RAG systems, facilitating the migration of APIs to new generation architectures
- Implemented agentic AI workflows using Azure Agents and Azure OpenAI to orchestrate multi-step autonomous agents, integrating these capabilities into React + TypeScript frontends for conversational GenAI experiences
- Architected and deployed cloud infrastructure using Python automation scripts, implementing infrastructure as code practices for scalable and reproducible deployments across AWS environments
- Built ML pipelines using Azure ML Studio with Python, enabling automated model training, experimentation, and deployment workflows for enterprise use cases
- Secured and migrated a compromised production website to a modern cloud-based architecture, implementing infrastructure hardening using AWS WAF, access controls, and best practices with automated deployment pipelines
Research Assistant
- Assisted in comprehensive literature review, meticulously gathering and analyzing relevant information for the Tensor-Aware Energy Accounting project under Prof. David Liu
- Conducted detailed code reviews across multiple programming languages and design styles to understand engineering requirements, utilizing tools like Git and VS Code
- Contributing to the development and enhancement of the Tensor-Aware Energy Accounting framework for machine learning
Software Developer
- Spearheaded the design, development, and testing of Python automation scripts and REST APIs, significantly reducing manual workload by 85% and improving operational efficiency in Privileged Identity Management (PIM) solutions
- Automated infrastructure deployment and configuration management using Ansible playbooks and Python scripts, streamlining deployment processes and reducing setup time by 60%
- Implemented automated workflows utilizing Python and REST APIs, replacing 14 manual maintenance workflows, resulting in significant time and cost savings through infrastructure automation
- Conceptualized and executed Proof of Concepts (POCs) on CyberArk components including Enterprise Password Vault (EPV), Application Access Manager (AAM), and Privileged Threat Analytics (PTA), validating their effectiveness — which led to the adoption of AAM
- Utilized Splunk integration for automatic monitoring and automation of daily onboarding of users and accounts to CyberArk, enhancing operational workflows and reducing manual intervention
- Authored comprehensive documentation outlining post-production technical support procedures, contributing to a 95% decrease in resolution time for post-production technical issues
- Mentored and trained over 100 interns on CyberArk, ensuring smooth onboarding and fostering a culture of continuous learning and professional development
Program Analyst
- Developed Python-based automation solutions for infrastructure management and monitoring, optimizing operational efficiency and reducing manual effort
- Implemented automated reporting tool using Python to detect vulnerable systems, providing visualized data for actionable insights across a network of over 10,000 edge nodes
EDUCATION
Binghamton University, SUNY
GITAM University, India
TECHNICAL SKILLS
CERTIFICATIONS
PROJECTS
A Java-based library for system-wide energy usage tracking on Intel-Linux environments, providing actionable metrics for power-aware computing.
Browser-based sketch recognition game using public ML models and datasets, replicating Google's "Quick, Draw!" for web environments.
xv6 Shared Memory
Extended the xv6 teaching operating system to support shared memory pages between processes via system calls for efficient inter-process communication.
RESUME
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