status: available·forward-deployed engineer

I find the gap,
then ship the fix

I embed with the problem, design the system, and run the solution in production. Backend architecture, AI-ready automation, and full-stack delivery for real businesses—not demo environments.

Django / DRFReact / TypeScriptPostgreSQL / CI/CD
field note_Understand the gap. Own the outcome. Stay on call.
the_fde_loop

From messy brief to useful system.

Forward-deployed work lives between product, engineering, and operations. This is the loop I use to turn an ambiguous customer problem into software that can hold up in the real world.

01

Understand the gap

discovery

Start with the people, constraints, and manual work behind the request—not just the feature list.

proof /School, competition, and enrollment requirements translated into clear workflows.
02

Design the system

architecture

Choose boundaries, permissions, data flows, and APIs that keep the first useful release safe to extend.

proof /Multi-role portals with JWT authentication, RBAC, and role-specific dashboards.
03

Ship it live

delivery

Test the edges, automate delivery, and deploy where the product needs to run—not where it is easiest to demo.

proof /VPS deployment, CI/CD, PostgreSQL query tuning, and production runbooks.
04

Automate the grind

automation

Turn repeatable operations into reliable workflows with clear retries, permissions, and observable outcomes.

proof /WhatsApp notifications, referrals, certificate generation, and AI-assisted validation.
05

Stay on call

ownership

Ownership does not end at launch. Monitor the system, fix the sharp edges, and keep learning from use.

proof /API tests, monitoring, recovery notes, and a bias toward boring reliability.
selected_work / live_products

Systems built for
the hard parts.

Three live products, one consistent approach: understand the operational gap, make the workflow legible, and ship the backend that keeps it moving.

  • CASE / 01Live product / National art competition

    Backend architecture + API

    Sajre's NAS

    live / public

    A national-level online drawing and painting competition where students, judges, institutions, and admins each get workflows built for their role. The backend covers secure auth, enrollment and fees, artwork submission, AI-assisted validation, voting, certificates, event updates, WhatsApp notifications, and referrals.

    Focus
    Multi-role competition workflows
    Stack
    Django · DRF · PostgreSQL
  • CASE / 02Live product / School ERP SaaS

    Backend systems + tenant workflows

    EduSoft

    live / public

    A school-management SaaS for institutions across Karnataka, bringing admissions, attendance, fees, examinations, staff, communication, and transport into one platform. The work is framed around tenant-aware backend workflows, secure access, and APIs that keep daily school operations moving.

    Focus
    School operations in one system
    Stack
    Django · DRF · PostgreSQL
  • CASE / 03Live product / Restaurant software

    Product delivery

    SirOrder

    live / public

    SirOrder is a live product for the restaurant space. The menu → order → kitchen → billing flow and my exact contribution are kept intentionally precise-to-confirm rather than guessed from the public URL.

    Focus
    Restaurant workflow, details to confirm
    Stack
    SaaS · REST APIs · Operations
All three links are live; metrics are shown only when verified.03 products / one approach
production_timeline

Close to the problem,
responsible for the result.

FDE signals are not a job title. They are the pattern: listen to the customer, make the trade-off, ship the system, and own what happens next.

Currently working as a Full Stack Engineer, contributing to full-cycle product development across frontend and backend systems.

  • Building and maintaining full-stack web applications with modern technologies.
  • Collaborating with cross-functional teams to deliver scalable and reliable software solutions.
honest_skill_map

Shipped, working,
still working.

A roadmap and a showcase. The label is part of the proof: shipped means I can point to real work; working means I am actively building in this area.

01

Core engineering

The foundations I use to turn a customer problem into a dependable service.

  • PythonShipped

    Primary backend language across production Django services.

  • TypeScript / JavaScriptShipped

    React and full-stack delivery.

  • SQL + PostgreSQLShipped

    Data modeling, query optimization, and tenant-aware workflows.

  • REST API designShipped

    Versioned workflows, validation, pagination, and integrations.

  • Auth + RBACShipped

    JWT, role boundaries, and least-privilege access.

  • Data integrationWorking

    Webhooks, third-party APIs, and messy customer data.

02

Systems + delivery

The operational layer between code that works and software that stays useful.

  • Django / DRFShipped

    Production SaaS backends and multi-role platforms.

  • Node.js / ExpressShipped

    Full-stack and MERN project delivery.

  • API testingShipped

    Structured tests, Postman workflows, and permission-boundary checks.

  • GitHub Actions + CI/CDShipped

    Automated checks and VPS deployment workflows.

  • Nginx + VPSShipped

    Reverse proxy, deployment, and production operations.

  • Queues + observabilityWorking

    Next system-design layer: retries, traces, and operational feedback.

03

Frontend + product

Interfaces that make complicated workflows easier for people to complete correctly.

  • React + Next.jsShipped

    Responsive interfaces and this App Router portfolio.

  • Tailwind + CSSShipped

    Responsive UI systems and interaction states.

  • AccessibilityWorking

    Keyboard states, semantic content, focus management, and reduced motion.

  • Motion designShipped

    Framer Motion transitions that support hierarchy, not noise.

  • System designWorking

    Writing down trade-offs for multi-role SaaS and integrations.

04

Applied AI

The FDE roadmap: ship useful automation, then make it measurable and safe.

  • LLM APIs + structured outputWorking

    Building toward reliable tool use and typed responses.

  • RAG + citationsWorking

    Learning retrieval, grounding, and permission-aware context.

  • Agents + MCPWorking

    Exploring integrations that can act on customer systems safely.

  • Evals + guardrailsWorking

    Golden datasets, refusal behavior, and regression checks.

  • Workflow automationWorking

    WhatsApp notifications, referrals, and repeatable communication flows.

grounded_demo / no_api_key

Ask my portfolio.

A small, local proof of the boundary I use for AI systems: answer from source material, show the citation, and refuse questions outside the evidence. It is intentionally deterministic until a real retrieval backend is connected.

grounded answers only
portfolio_contextcitation mode: on
answer

Satwik worked on the backend and API for Sajre’s NAS, a national-level online art competition. The platform brings together students, judges, institutions, and admins with enrollment, fees, artwork submission, AI-assisted validation, voting, certificates, event updates, WhatsApp notifications, and referrals.

01 question→02 portfolio content→03 grounded answer→04 source chip
open_source / public_signal

Let the code
back up the story.

Public work is where the patterns get reusable: system design notes, integration experiments, and the tools that make production lessons easier to share.

open GitHub profile
profile link / activity feed loadinggithub.com/Satwik0909
ready_when_you_are

Have a problem
worth solving?

Tell me what you are building, where it is getting stuck, and what a good outcome looks like. I will bring the technical questions.

satwikkukadolli@gmail.com ↗