Backend
Engineer

I’m Kishan, a Backend Engineer working on building reliable systems and scalable deployments.

A bit about me.

How I think about the work, in a few paragraphs.

I'm a Backend Engineer working on building reliable systems, automation, and scalable deployments. My work tends to sit behind the scenes — the systems, infrastructure, and pipelines that need to keep working long after the demo is over.

I care about clean architecture over clever shortcuts, decisions backed by evidence rather than assumptions, and systems that are boring in the best way: predictable, well-documented, and easy for someone else to pick up. I'm as comfortable working close to the infrastructure layer as I am building the services that run on top of it.

Designing the parts users never see — backend services and internal systems built to be dependable, not just functional.
Making releases boring — automating the repetitive parts of shipping so deployments are predictable, not eventful.
Building for the failure case — designing for graceful degradation and real-world conditions, not just the ideal path.

Have a technical problem worth solving? Let's talk.

More of my work and ways to reach me — you'll find it through my socials.

Things I've actually built.

A few projects where the interesting part was the system behind the product.

01 LIVE

Resume Ranker

AI / BACKEND / gRPC

Resume Ranker helps hiring teams review candidates faster by comparing resumes with job descriptions and turning unstructured experience into clear, evidence-backed match insights.

Compares candidate resumes with job requirements across skills, experience, education, and projects to surface the strongest matches.
Connects match assessments to evidence from the original resume and job description, helping reviewers understand why a candidate was ranked.
Transforms resumes and job descriptions into structured information so hiring teams can evaluate candidates consistently.

Python Streamlit gRPC Pydantic LLM

live demo ↗

02 OPEN SOURCE

DepCycle

PYTHON / CLI / GRAPH ANALYSIS

A Python CLI that maps project dependencies, reveals circular architecture, and turns complex codebases into clear, explorable dependency graphs.

Scans Python projects to show local, standard-library, third-party, and unresolved dependencies in one graph.
Finds circular dependencies and shows the exact cycle path, with problematic edges highlighted in generated reports.
Supports interactive HTML, machine-readable JSON, and DOT graph output.

Python Dependency Mapping Cycle Detection CLI

PyPI ↗ GitHub ↗

03 DEPLOYED

Placemate

DJANGO / REST / POSTGRESQL

A centralized campus recruitment system using Django REST Framework to automate placement workflows, manage production configurations, and securely isolate user data.

Architected a backend for a centralized campus recruitment system using Django REST Framework.
Implemented stateless authentication using HTTP-only cookies and JWTs with role-based and object-level permissions.
Developed middleware and BaseViewSets for unified JSON responses and centralized exception handling.
Deployed the production backend on Render and integrated Cloudinary for media storage.

Django REST Framework PostgreSQL Cloudinary Render

live demo ↗