SREERAJ APAGE 03 / WHAT I BUILD
Let's Connect
PAGE 03 / BUILD NOTES

PORTFOLIO LAB

Selected systems, practical AI experiments, and a safe terminal built to show how I think—not just what I ship.

01 / PROJECT CASE NOTES

SELECTED WORK

evidence first / links only when verified

Selected work

Eight compact field notes across enterprise SaaS, realtime systems, applied AI, commerce, education, mobile, booking, and creative production workflows.

PROJECT / 01

Enterprise case note / Enterprise SaaS / HRMS

CLYNOVA E-HR

Enterprise multi-tenant SaaS HRMS.

  • 2,000+ DAU
  • 15+ Microservices
  • .NET
  • PostgreSQL
  • Kafka
  • Redis
  • SignalR
  • AWS
  • React
  • React Native
Open field notes
CHALLENGE

Support an enterprise HR workflow across a multi-tenant product.

TECHNICAL SHAPE

A 15+ microservice system using .NET, PostgreSQL, Kafka and Redis on AWS, with SignalR for realtime communication and React and React Native clients.

EVIDENCE
  • 2,000+ daily active users
  • 15+ service boundaries

Public implementation and customer details are intentionally omitted from this notebook.

Enterprise work — no public repository or live link is claimed.

PROJECT / 02

Enterprise case note / Enterprise CRM / Realtime

CLYNOVA CRM

Real-time CRM platform.

  • 5+ Enterprise Clients
  • Realtime delivery
  • WebSockets
  • Redis Pub/Sub
  • PostgreSQL
  • React Query
  • React Native
  • Expo
  • FCM
  • DigitalOcean
  • Droplets
  • Nginx
  • CDN
Open field notes
CHALLENGE

Keep CRM activity timely across enterprise client workflows.

TECHNICAL SHAPE

WebSockets carry live updates, Redis Pub/Sub coordinates events, PostgreSQL stores application data, and React Query supports server-state synchronization. React Native, Expo and FCM power the mobile experience, with Nginx serving the platform from DigitalOcean Droplets behind a CDN.

EVIDENCE
  • 5+ enterprise clients
  • Realtime messaging workflow

Public implementation and customer details are intentionally omitted from this notebook.

Enterprise work — no public repository or client names are claimed.

PROJECT / 03

AI lab case note / Telemedicine / Applied AI

MEDCONNECT AI

AI-assisted telemedicine platform.

  • Doctor Booking
  • Contextual Responses
  • MERN
  • RAG
  • AI
Open field notes
CHALLENGE

Connect doctor-booking workflows with useful, contextual information.

TECHNICAL SHAPE

A MERN application with a retrieval-augmented generation layer for contextual responses.

EVIDENCE
  • Doctor-booking workflow
  • Context-aware response concept

Product and AI behavior are presented as a project case note, not medical advice.

PROJECT / 04

Project case note / Education / Guidance

EDUCONNECT

Career guidance platform.

  • Aptitude Testing
  • Student–College Bridge
  • MERN
Open field notes
CHALLENGE

Help students explore direction and connect with relevant colleges.

TECHNICAL SHAPE

A MERN platform combining aptitude-testing flows with a student-to-college bridge.

EVIDENCE
  • Aptitude-testing workflow
  • Student–college discovery bridge

Public repository and deployment links have not been provided.

PROJECT / 05

Project case note / E-commerce / Fashion

ZXC APPARELS

Modern full-stack fashion commerce storefront.

  • Modern Storefront
  • Cloud Commerce Stack
  • JavaScript
  • React
  • Next.js
  • Zustand
  • React Query
  • PostgreSQL
  • Redis
  • Supabase
  • Vercel
Open field notes
CHALLENGE

Turn an Instagram-first apparel shopping experience into a responsive, independently owned web storefront.

TECHNICAL SHAPE

A React and Next.js commerce experience using Zustand for client state, React Query for server-state coordination, PostgreSQL and Supabase for product data, Redis for caching, and Vercel for deployment.

EVIDENCE
  • Responsive catalogue and shopping workflow
  • Cloud-hosted data, caching and deployment architecture

Built as a personal project under the ZXC Apparels identity, inspired by the shopping experience of a popular Instagram apparel channel; no affiliation with the reference brand is claimed.

PROJECT / 06

Project case note / Company Website / Media & Production

CODEBXO

Motion-led company website for a Kochi media and production studio.

  • Kochi Production Studio
  • Interactive Brand Experience
  • JavaScript
  • React
  • Next.js
  • Static Generation
  • Zustand
  • GSAP
  • Three.js
  • Cloudinary
Open field notes
CHALLENGE

Present Codebxo's advertising, media and production capabilities through a distinctive, responsive digital experience.

TECHNICAL SHAPE

A statically generated React and Next.js website with Zustand-managed interface state, GSAP and Three.js motion, and Cloudinary-backed media delivery.

EVIDENCE
  • Motion-led company storytelling
  • Optimized cloud media delivery

Designed and developed for Codebxo, a media and production company based in Kochi. A verified public project link has not yet been provided.

PROJECT / 07

Project case note / Native Mobile / Fitness

FITNESS ANDROID APP

Workout tracking application.

  • Workout Timers
  • Cloud Synchronization
  • Kotlin
  • Firebase
  • Android
  • Timers
  • Profiles
Open field notes
CHALLENGE

Keep workout sessions, timing and user progress organized on Android.

TECHNICAL SHAPE

A Kotlin Android application with profiles, workout timers, Firebase and cloud synchronization.

EVIDENCE
  • Timed workout tracking
  • Profile and cloud-sync flows

Public store and repository links have not been provided.

PROJECT / 08

Project case note / Web Platform / Booking

TURF BOOKING

Real-time booking platform.

  • Realtime Booking
  • Authenticated Access
  • Flask
  • MySQL
  • Authentication
Open field notes
CHALLENGE

Coordinate authenticated turf reservations with current availability.

TECHNICAL SHAPE

A Flask and MySQL application supporting authentication and real-time booking behavior.

EVIDENCE
  • Authentication workflow
  • Real-time reservation flow

Public repository and deployment links have not been provided.

02 / AI-ASSISTED ENGINEERING

AI LAB

accelerate thoughtfully / verify relentlessly

AI Lab

Exploring AI to solve real-world problems
and supercharge development workflows.

  1. 01

    IDEA

    name the real problem
  2. 02

    RESEARCH WITH AI

    expand, then verify
  3. 03

    PLAN

    keep human intent
  4. 04

    CODE WITH AI

    accelerate the draft
  5. 05

    TEST & REVIEW

    trust evidence, not output
  6. 06

    DEPLOY

    ship with guardrails
CURATED EXPERIMENTS

AI PROJECTS

concept notes—not claims of live model access

LAB / 01

MedConnect AI

PROBLEM
Surface useful context inside a telemedicine workflow.
INPUT
Curated documents + a user question
METHOD
Retrieval-augmented generation
GUARDRAIL
Source-grounded assistance; never medical diagnosis
RESULT
Contextual-response project concept
LAB / 02

AI Resume Screener

PROBLEM
Make a first-pass role comparison easier to review.
INPUT
Sample résumé + role criteria
METHOD
Structured extraction + explicit rubric
GUARDRAIL
Human decision remains final
RESULT
Explainable match summary concept
LAB / 03

Document Q&A

PROBLEM
Find answers without scanning an entire document set.
INPUT
Curated documents + natural-language query
METHOD
Chunk, retrieve, answer with context
GUARDRAIL
Admit missing evidence and show source context
RESULT
Grounded answer workflow
LAB / 04

Developer Copilot

PROBLEM
Reduce repetition during implementation and review.
INPUT
Task context + selected code
METHOD
Constrained generation + engineer review
GUARDRAIL
Tests, lint and human review gate every change
RESULT
Faster draft-to-review loop
LAB / 05

RAG Experiments

PROBLEM
Understand how retrieval choices affect answer quality.
INPUT
Controlled document collections + test questions
METHOD
Compare chunking and retrieval strategies
GUARDRAIL
Deterministic eval set before conclusions
RESULT
Reusable retrieval notes
03 / SAFE COMMAND SANDBOX

TERMINAL PLAYGROUND

try the workflow / nothing leaves this page

Terminal playground

SIMULATED PORTFOLIO ENVIRONMENT. Commands produce deterministic demo output only. No real shell, AWS account, Docker daemon, Kubernetes cluster, filesystem, or network endpoint is used.

TYPE A COMMAND:
fish ~/portfolio
portfolio fish, version 1.0-demoSafe sandbox ready. Type 'help' to begin.↑/↓ history · Tab completion · Ctrl+L clear
sreeraj@portfolio~>
04 / CURATED ENGINEERING EXPLANATIONS

AI SHELL

deterministic notes / no live model

ai-shell ~/notes
sreeraj@portfolio ~>ask "explain this Dockerfile"
curated technical note

Read it as a repeatable build recipe: choose a pinned base, install only what the app needs, copy the smallest runtime artifact, and run as a non-root user.

  • Pin the base image
  • Use a multi-stage build
  • Keep secrets out of layers
05 / WORKING SET

TOOLBOX

choose for the problem / keep the system operable

Engineering toolbox

01

MOBILE

  • Kotlin
  • Android
  • React Native
  • Expo
02

BACKEND

  • .NET
  • Node.js
  • Express
  • REST
  • SignalR
  • WebSockets
03

DEVOPS

  • AWS
  • Docker
  • GitHub Actions
  • Nginx
  • Linux
  • Kubernetes
04

DATA

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Kafka
05

AI

  • RAG
  • LLM workflows
  • AI-assisted development
06 / NEXT CONVERSATION

LET'S BUILD SOMETHING AWESOME TOGETHER

Bring the product idea, the delivery problem, or the system that needs a clearer path to production.

Personal contact details stay private until their publication is explicitly approved.

This notebook closes with a working system. The next page starts with a real problem worth shipping.

“Build. Deploy. Scale. Repeat.”— SREERAJ ASreeraj A signature