Full Stack AI Engineer
mail harshadokula@gmail.com
link LinkedIn
terminal GitHub
location_on Irving, TX
phone (607) 595-7798
SUMMARY
Full Stack AI Engineer with 5+ years in software engineering, AI/ML, cloud infrastructure, DevOps, and automation. Builds AI-powered applications, RAG, and agentic AI solutions with Python and Azure AI Foundry, plus AWS, Azure, Kubernetes, and CI/CD. Strong in REST APIs, ML pipelines, containerized deployments, security/IAM (CyberArk), infrastructure hardening, and the full SDLC.
EXPERIENCE
Fullstack Developer
Zapcom.ai • TX, USA
- Built RAG systems with Azure AI Foundry and Azure services, migrating APIs to modern AI-enabled architectures
- Developed Azure AI Foundry agents using enterprise data, RAG pipelines, and custom tools for intelligent workflow automation and decision support
- Deployed cloud infrastructure with Python automation and IaC for scalable, reproducible AWS environments
- Built ML pipelines in Azure ML Studio and Python for automated training, experimentation, and deployment
- Managed Kubernetes node pools and pods, container deployments, scaling configuration, and runtime troubleshooting
- Designed Azure DevOps (ADO) CI/CD pipelines with variable groups and pipeline gates for controlled releases
- Migrated a compromised production website to a hardened cloud architecture using AWS WAF, access controls, and automated deployment pipelines
Research Assistant
SUNY Binghamton • NY, USA
- Literature review and analysis for the Tensor-Aware Energy Accounting project under Prof. David Liu
- Code reviews across multiple languages and design styles using Git and VS Code
- Contributing to the Tensor-Aware Energy Accounting framework for machine learning
Software Developer
Cognizant • Bengaluru, India
- Designed, developed, and tested Python automation scripts and REST APIs for Privileged Identity Management (PIM), cutting manual workload by 85%
- Automated infrastructure deployment and configuration with Ansible playbooks and Python, cutting setup time by 60%
- Replaced 14 manual maintenance workflows with automated Python and REST API workflows
- Ran POCs on CyberArk components — Enterprise Password Vault (EPV), Application Access Manager (AAM), and Privileged Threat Analytics (PTA) — driving AAM adoption
- Integrated Splunk for automated monitoring and daily user/account onboarding to CyberArk
- Authored post-production support documentation, cutting issue resolution time by 95%
- Mentored and trained 100+ interns on CyberArk
Program Analyst
Cognizant • Bengaluru, India
- Built Python automation for infrastructure management and monitoring
- Created a Python reporting tool that flagged vulnerable systems across 10,000+ edge nodes
EDUCATION
Binghamton University, State University of New York
Master of Science in Computer Science • CGPA: 3.9/4.00
Thomas J. Watson College of Engineering and
Applied Science
Design & Analysis of Computer Algorithms,
Computer Architecture & Organization, Operating Systems, Programming Languages, Database Systems,
Hardware and Security Systems, Design Patterns
GITAM University, India
Bachelor of Technology in CS & Engineering • GPA:
8.35/10.0
TECHNICAL SKILLS
LLMs
GenAI
RAG
Agentic AI
Azure AI Foundry
Prompt Engineering
TensorFlow
PyTorch
Responsible AI
Python
TypeScript
JavaScript
C++
C
Java
ReactJS
Redux
Bash
AWS
Azure
Kubernetes
Ansible
Docker
CI/CD
Azure DevOps (ADO)
Git
Linux
IaC
SQL
PL/SQL
MongoDB
PowerShell
Bash
REST APIs
IaC
Configuration Management
VS Code
Jupyter
Vim
CyberArk Vault
CPM
PSM
PVWA
AAM
Okta
Splunk
CERTIFICATIONS
PROJECTS
A browser-based replica of Google's "Quick, Draw!" using lightweight in-browser models.
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
Full Résumé (PDF)
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