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Maheswar Barrenkala

San Jose, CaliforniaSoftware engineering · UX engineering · applied AI

Full-Stack Product Engineer

I design and engineer products from user problem to working system.

Responsive products, trusted workflows, applied AI, automation, and cloud-connected systems.

Maheswar Barrenkala, Full-Stack Product Engineer
Design judgmentEngineering ownership
  1. 01Problem
  2. 02Product
  3. 03System
  4. 04Outcome
Next / selected workCTC EdTech · connected product system
15+
websites and responsive applications deliveredIndependent software development and UX work
10+
internal tools and systems builtConfirmed portfolio-wide product and operational scope
Enterprise + startup + universityProduct-engineering breadthSoftware, UX, applied AI, automation, and cloud workflows

01Selected work

Products and systems I’ve built.

Six flagship projects across full-stack product delivery, applied AI, architecture, UX engineering, and operational automation.
Explore all selected work

02How I build

I shape the product and implement the working system.

The work moves continuously from an understood problem to a maintained product. Each stage below points to a real project application.
  1. 01

    Understand

    Clarify the user, operation, constraints, and definition of a working outcome.

    ITU student pathways
  2. 02

    Structure

    Turn research and evidence into requirements, information architecture, data flow, states, and ownership.

    Document lifecycle
  3. 03

    Design

    Translate the structure into accessible interaction and responsive interface decisions.

    CTC service journeys
  4. 04

    Implement

    Build the product path across interface, server logic, and data boundaries.

    MAP role-based product
  5. 05

    Integrate

    Connect data, automation, AI, and external services into the product workflow.

    University AI assistant
  6. 06

    Validate

    Test behavior, accessibility, failure states, performance, and traceability.

    Document Control traceability
  7. 07

    Maintain

    Maintain the working system and refine it from real product and operational needs.

    Email operations

03Applied AI

AI is one layer in a product decision.

Useful assistance still depends on knowledge structure, retrieval, interface design, fallback behavior, privacy boundaries, and human judgment.
Inspect the retrieval-assisted application
Applied AI / architecture
Architecture overview based on the confirmed retrieval-assisted implementation.System flowAlt-text intent: Knowledge content becomes embeddings, is retrieved from Pinecone, assembled into context, passed to the model, and presented through Gradio.

04Experience

Breadth, without flattening the context.

Current product engineering sits alongside enterprise delivery and university technology leadership.

Current / concurrent

January 2025–Present

CTC EdTech

Software Engineer / UX Engineer, AI Applications & Product Systems

Designs, implements, and maintains education-technology products spanning responsive interfaces, data workflows, student support, automation, cloud systems, and AI-enabled experiences.
January 2025–Present

Game Plan Mastery

Software Engineer / UX Engineer, AI Applications & SaaS Product Systems

Builds and maintains secure-document, campaign-automation, SaaS dashboard, onboarding, and AI-assisted operational systems.

Enterprise

January 2021–January 2023

Accenture

Application Designer & Developer

Contributed to responsive enterprise applications, accessibility, integrations, automation, delivery tooling, and cloud modernization, including a team-based AWS Aurora migration.

University / leadership

March 2023–April 2024

International Technological University (ITU)

IT Designer & Developer / Student Body President

Combined UX research, information architecture, responsive frontend and CMS implementation, accessibility, student-support workflows, and campus leadership.
Review full experience

05Build notes

Things I think about while building.

Three essays are in final prepublication review. Dates remain unassigned and the essays stay non-indexable until genuine publication.
01AI Engineering

Prepublication / final review

How AI Helps Save Time in Designing and Developing Applications — Without Replacing Engineering Foundations

AI can shorten research, design, coding, debugging, testing, and documentation work, but product quality still depends on human judgment and engineering fundamentals.
AI-assisted delivery
AssistReviewBuildValidate
02UX Engineering

Prepublication / final review

UX Engineering: Connecting Product Design with Production-Ready Frontend Development

UX engineering keeps research, interaction intent, responsive behavior, accessibility, and component decisions connected through implementation.
UX engineering
IntentComponentAccessShip
03Full-Stack Development

Prepublication / final review

Building Scalable Full-Stack Product Workflows with Next.js, Firebase, and Automation

Reliable product workflows make trust boundaries, validation, persistence, notifications, recovery, and operational visibility explicit without adding unnecessary infrastructure.
Full-stack workflow
InterfaceAPIDataOperate

06 / Start a conversation

Have a role, product, or system worth discussing?

I bring product judgment, UX thinking, and full-stack execution to complex software work.

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