Open to Work

UdayMeka

UdayMeka

Building Digital Systems that matter. Merging scalable architecture with agentic intelligence.

About
Me

An Open-source Developer and has Master's in Computer Science from Michigan Tech. Specializing in Agentic Design, full-stack architecture, software engineering, and core systems optimization.

Motivated by hands-on problem-solving, I apply these fundamentals to challenging real-world needs and am actively looking for new opportunities in the field.

Education

Master of Science in Computer Science

Michigan Technological University

2024 - 2025CGPA: 3.90/4.0

Bachelor of Technology in Computer Science

Vasireddy Venkatadri International Technological University

2019 - 2023CGPA: 7.42/10.0

Experience

AI Engineering Extern

2026

Outamation (Extern)

  • During the externship, I'll be developing a Python-based preprocessing pipeline designed to optimize OCR accuracy and transform high-complexity scanned documents into machine-readable datasets.
  • Integrating and testing AI models within a full document processing workflow to benchmark performance metrics like extraction speed, accuracy, and formatting reliability.
  • Engineering an end-to-end Document Intelligence system utilizing Retrieval-Augmented Generation (RAG) to automate the classification and data extraction of unstructured mortgage 'blob' files.

Graduate Teaching Assistant

2025

Michigan Tech

  • Actively guided student teams through the full Software Development Lifecycle (SDLC), focusing on requirement analysis, clear documentation, and efficient debugging, effectively acting as a technical lead for project delivery.
  • Led weekly code review sessions for over 100 students (across both courses), enforcing industry standards for Software Quality Assurance, test coverage, and code.
  • Provided targeted technical and architectural guidance for Team Software Project designs, mentoring teams on applying Object-Oriented Design (OOD) and scalable patterns for their full-stack applications.

Intern

2023

Virtusa

  • Contributed hands-on coding to the Camera Service Center Appointment System, collaborating with cross-functional teams to integrate new business features from design through successful deployment.
  • Developed and modified core backend services utilizing REST API concepts, with a critical focus on ensuring secure user authentication and data handling for enterprise applications.
  • Actively involved in the full SDLC, diagnosing and resolving system vulnerabilities and technical issues to improve the stability and performance of the existing application in production.

Cyber Security Intern

2022

AICTE

  • Completed an internship program focused on foundational and advanced Cybersecurity concepts, supported by the Palo Alto Networks Cybersecurity.
  • Identity & Access Management(IAM): Configured and managed security policies and user permissions in virtual environments, directly mirroring Active Directory management tasks.
  • Infrastructure Configuration: Implemented and evaluated security protocols for virtualized Windows and Linux systems to maintain platform resilience and protect sensitive data.
  • Incident Troubleshooting: Investigated security alerts and technical logs to diagnose and correct system failures, maintaining high availability for end-users and site-managed staff.
  • Gained practical exposure to network security principles, cloud security, and threat prevention strategies through rigorous training modules.

Selected Work

Technical Proficiency

Advanced AI & Orchestration

  • LangGraph
  • RAG Systems
  • LangChain
  • n8n
  • Prompt Eng.
  • TensorFlow

DevOps & Infrastructure

  • CI/CD Pipelines
  • Terraform (IaC)
  • Docker
  • Kubernetes
  • SonarQube
  • Azure DevOps

CyberSecurity & Identity

  • IAM / Auth
  • Active Directory
  • Palo Alto
  • Compliance
  • Vuln. Assess

Advanced Backend

  • FastAPI
  • Flask
  • Express.js
  • Microservices
  • Linux/Bash
  • C++

Algorithmic & Systems

  • System Design
  • Optimization
  • Data Structures
  • PostgreSQL
  • MongoDB

Management & UI/UX

  • Jira / Atlassian
  • SDLC
  • TUI Design
  • Responsive UI
  • React / Next.js

Certifications

Publications

IJFANS International Journal of Food and Nutritional Sciences

The approach involves the development using Convolutional Neural Networks (CNN) and an ensemble model using VGG16, DenseNet and Inception. It detects 7 types of skin diseases.

LET'S TALK

Interested in collaborating on a project or discussing a new opportunity? I'm always open to chat.

Say Hello