Masif Kadapa
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kadapamasif.dev — consoleOpen to Software Engineer / Backend roles

I build software that has to be right.

Enterprise SaaS backend systems, REST APIs, and AI features — engineered to stay fast, correct, and unremarkable under real load.

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RoleAssociate SWE · Peoplebox.aiFocusEnterprise AI featuresLearningAdvanced RAG · vector searchBaseVijayawada, India
Dashboard

The state of the system.

RoleAssociate Software EngineerPeoplebox.ai
Current focusEnterprise AI workflowsRAG-grounded LLM features on Rails
2 patents
in AI & food-tech systems
8.7/10
B.Tech CGPA, AI & ML
Enterprise
SaaS in production
RAG
LLM & retrieval systems
Stack
  • Ruby on Rails
  • React
  • PostgreSQL
  • MySQL
  • REST APIs
  • LLMs
  • RAG
  • Sidekiq
  • Docker
Engineering showcase
All work

Work, launched like a product.

Not a gallery of mockups. Each project shipped to production, moved a metric that mattered, and paid down long-term quality.

  1. Northstar
  2. Atlas · Realtime Ops
  3. Verso Editor
Why hire me

What I bring to a team.

01

Problem solving

I start from the data model, not the library. When a query is slow I read the query plan before touching the code.

02

Ownership

Production issues are feature requests. I read the logs first, then refactor so the next engineer doesn't trip.

03

Product thinking

The metric, not the ticket, is the requirement. A feature that ships on time and stays reliable wins.

04

AI engineering

LLMs are only useful grounded and evaluated. Retrieval, not prompts, is where the quality lives.

05

Backend craft

Clean schemas and fast queries beat clever code. The best backend is the one nobody has to think about.

06

Performance

I profile against real load before calling it done — query plans, latency, and the p95, not the happy path.

Build philosophy

How I approach software.

01

Architecture first

Schema and contracts before code. Interfaces are the product — everything else is implementation detail.

02

Quality is a habit

Tests, reviews, and refactors are the norm, not the exception. The code you inherit is code you improve.

03

Ship, then measure

Perfect is the enemy of shipped. Get it to production, watch the metrics, and iterate on reality.

AI journey

From exploration to automation.

01

Exploration

B.Tech in AI & ML — learned models are easy and production is hard.

02

RAG

Grounded LLMs on real company knowledge, not a demo corpus.

03

LLMs

Prompt engineering, evaluation, and shipping AI features to enterprise customers.

04

AI tools

Agentic helpers for my own workflow — to see what actually holds.

05

Automation

Production ML applications that quietly do a job end-to-end.

Thought process

From problem to measured outcome.

01User problem
02Research
03Architecture
04Build
05Iterate
06Ship
07Measure
Career
Full story

Where I've made the difference.

  1. Associate Software Engineer

    Jul 2025 — Present

    Peoplebox.aiRemote

    Build production-grade backend services and AI-powered features for enterprise SaaS.

    • Engineered backend services with Ruby on Rails and customer-facing features with React.js.
    • Designed and optimized MySQL/PostgreSQL schemas, ActiveRecord models, and SQL queries for performance.
    • Shipped REST APIs and workflows powering Goals, Performance Reviews, Surveys, HRIS integrations, and IDPs.
    • Integrated LLMs with RAG and prompt engineering to build AI-assisted workflows.
    • Resolved production issues, refactored services, and improved system reliability and code quality.

  2. Software Engineering Intern

    Jan 2025 — Jun 2025

    Peoplebox.aiRemote

    Learned the enterprise SaaS stack on the job while shipping real, customer-facing work.

    • Developed backend modules and REST APIs with Ruby on Rails for enterprise SaaS.
    • Built reusable UI components and customer-facing features with React.js.
    • Worked on schema design, ActiveRecord migrations, SQL debugging, and production issue resolution.
    • Collaborated with senior engineers to ship features and improve application stability.
Current mission

What I'm shipping toward.

BuildingEnterprise AI features — RAG on Rails
LearningAdvanced RAG · vector search · system design
ExploringAgentic AI tools · production ML apps
NextEvaluation-driven RAG · faster queries
Enter the studio →

Let's work together

Have a team that deserves better?

I'm looking for teams that value scalable backend engineering, well-designed APIs, and AI built on solid fundamentals. If that's you, say hi.

kadapamasif@gmail.comGitHub