Sanish Kumar

Hi, I’m Sanish. A software engineer working on ML systems, computer vision and backend infrastructure.

AI Engineer Intern at NiftyBooks, based in Bengaluru

See what I've built

Lately, I've been building RGB-D reconstruction tools, architecture checks for pull requests, indoor-routing software, and computer-vision workflows at NiftyBooks.

Engineering evidence

A few results, with the work behind them.

  • Same bytes, 3 OSes

    SpatialForge reconstruction

    Committed volume and mesh fixture; Python 3.11 and 3.14

    Source
  • 51,375 obligations

    CashFlow clearing benchmark

    Synthetic network: 1.26 s solve, 3 ms certificate check

    Source
  • Base-branch policy

    System Synthesis

    A pull request cannot weaken the rules reviewing it

    Source
  • 7,238 route journeys

    Indoor navigation audit

    Standard and step-free routes across four synthetic venues

    Source
  • 90+ s → 5–6.5 s

    NiftyBooks editing path

    Measured on the workflow I tested

What I’ve been building.

Each write-up covers the design, tests, trade-offs, and the parts that still need work.

SpatialForge

(Known-pose 3D reconstruction)

I turn depth scans and supplied camera poses into reproducible 3D meshes, with a correctness reference for every faster path.

Same fixture bytes on Linux, macOS, and Windows.

More about this project — SpatialForge

Depth frames go in; a 3D mesh comes out. I built the stages in between so I can trace each result back to its scan, stop and resume a reconstruction, and check that a faster implementation hasn't changed the answer. Camera poses are supplied, not estimated.

Byte-identical fixture output across Linux, macOS, and Windows. Evaluated on real TUM scans and a synthetic ICL-NUIM scene.

RGB-D → Replay → TSDF → Extract → Validate

  • Python
  • NumPy
  • RGB-D
  • Sparse TSDF

System Synthesis

(Developer tooling · Architecture review)

I built architecture checks that show what a pull request changes, link findings to source lines, and enforce base-branch policy.

One deterministic analysis for the CLI, GitHub Action, and browser.

More about this project — System Synthesis

A few lines of Compose can expose a database or change who depends on a service. I built a review tool that shows those changes as a graph, links findings to the source, and checks the pull request against rules it cannot rewrite for itself.

The CLI, GitHub Action, and browser share one analysis. Policy comes from the trusted base branch.

Base / Head → Canonical → Semantic diff → Policy → PR / SARIF

  • TypeScript
  • Node.js
  • GitHub Actions
  • SARIF
  • PostgreSQL

VoiceGIS Indoor Navigation

(Indoor navigation · Spatial systems)

Campus-to-room navigation with step-free routes, shared 2D/3D maps, and offline reopening after installation.

7,238 audited journeys across four synthetic venues.

More about this project — VoiceGIS Indoor Navigation

Directions should get you from the campus gate to the right room, including a step-free route when you need one. This app shares one verified map across search, routing, and 2D/3D views. It can reopen offline after installation and pauses when it can't trust the route or position.

7,238 audited journeys across four synthetic venues. Cold-offline reload is covered by production-browser tests.

Venue → Compile → Verify → Route → Guide

  • TypeScript
  • React
  • Web Workers
  • IndexedDB
  • A*

NiftyBooks illustration system

(Professional work · Computer vision)

At NiftyBooks, I build consistent storybook illustrations and tools to edit a character across pages without regenerating every image.

One tested editing path: 90+ s → about 5–6.5 s.

More about this project — NiftyBooks illustration system

Keeping a character recognisable across a storybook is harder than generating one good picture. At NiftyBooks, I build illustration and editing workflows that let an editor find that character across pages, correct a mask, and change a region without regenerating the whole image.

Replacing one unnecessary generative step with OpenCV cut the tested editing path from 90+ seconds to about 5–6.5 seconds.

Story → Generate → Match → Mask → Edit

  • Python
  • FastAPI
  • OpenCV
  • Diffusion
  • Segmentation

More work

A few other things I've shipped, published, or used to explore an idea.

  • VoiceGIS

    (Published developer toolkit)

    A GIS request compiler that checks plans before execution and records what actually ran.

    More about this project — VoiceGIS

    I started with voice commands for maps, then worked on the harder question: what is the app actually allowed to do? VoiceGIS turns a request into an inspectable plan using real layers and fields, checks it before execution, and records what ran. It works with GeoJSON, OGC services, and MCP clients.

    Typed plans and per-operation receipts; zero runtime dependencies in the core. The separate legacy parser scored 504/538.

    • JavaScript
    • GIS
    • OGC API
    • CQL2
    • MCP
  • CashFlow

    (Algorithms · Full-stack systems)

    Debt-clearing graph solvers with checkable certificates and a separate simulation of missed payments.

    More about this project — CashFlow

    What does ‘simplify debts’ actually change? CashFlow lets you compare the original IOUs, cancel loops without adding counterparties, or simplify further and see every new relationship. Underneath are three graph solvers, checkable optimality certificates, and a separate simulation of what happens when someone can't pay.

    51,375 synthetic obligations cleared in 1.26 seconds; the optimality certificate checked in 3 milliseconds.

    • TypeScript
    • Graph algorithms
    • React
    • PostgreSQL
    • Redis
  • AgenticBIM

    (Engineering experiment)

    An IFC analysis prototype: measured building quantities first, agent-generated suggestions second.

    More about this project — AgenticBIM

    I used IFC building files to explore where agents can help without inventing the measurements. IfcOpenShell extracts quantities first; the agents use those values for cost and code-checking suggestions. This is a prototype, not a certified compliance tool.

    • Python
    • IfcOpenShell
    • FastAPI
    • CrewAI
    AgenticBIM report interface with extracted IFC geometry alongside an agent-generated report

    A repository capture of the prototype's report screen. Its agent-written suggestions are not a certified building-code or cost assessment.

    Original in repository
  • Autonomous Document Agent

    (Bounded agent workflows)

    A document-writing experiment with validated plans, registered tools, and bounded revisions.

    More about this project — Autonomous Document Agent

    An experiment in giving a document-writing agent clear limits: registered tools, a validated plan, and at most two revision passes. A local builder produces the Word file, and offline tests inspect the output. The agent doesn't independently check the facts it writes about.

    • Python
    • FastAPI
    • Pydantic
    • python-docx
  • Sketch-to-Image

    (Interface experiment)

    A browser sketchpad connected to a sketch-conditioned image-generation workflow.

    More about this project — Sketch-to-Image

    Draw a rough idea on a browser canvas, send it to a sketch-conditioned generation workflow, and inspect the illustration. I built this to explore the drawing-to-generation interaction, not to train a new image model.

    • Next.js
    • Canvas
    • FastAPI
    • ComfyUI
    Live demo

    This demo can take a few seconds to wake up.

Work experience.

The work I've done with teams, alongside my own projects.

AI Engineer Intern

NiftyBooks FlexCo

Aug 2025 — Present

Mönchengladbach, Germany · Remote

I build storybook illustration pipelines and tools for finding and editing the same character across pages.

Role details — NiftyBooks FlexCo
  • Converted story text into scene-level inputs and generated consistent multi-page illustrations using diffusion models, character references, and ComfyUI.
  • Built a cross-image editing workflow for character matching, editable segmentation masks, face replacement, inpainting, recolouring, and other region-based edits.
  • Connected generation and editing workflows to FastAPI endpoints and handled inputs, outputs, assets, and failures between pipeline stages.

Before NiftyBooks

  1. Jun 2024 — Jul 2024

    Remote

    Freelance Software Developer

    TECOSYS

    I integrated AI-processing APIs into a client's web product, including request handling and frontend workflows.

    Role details — TECOSYS
    • Implemented request adapters, response normalization, and failure handling for external AI-processing endpoints.
    • Documented API contracts and workflow decisions for project handoff.
  2. May 2023 — Jul 2023

    Gurugram, Haryana · Remote

    Full-Stack Developer Intern

    Diginique Techlabs (iHUB)

    I contributed to a restaurant software project, working on its backend, data flow, and interface.

    Role details — Diginique Techlabs (iHUB)
    • Developed backend and data-flow features using Python, MongoDB, and TypeScript.
    • Worked from Figma designs to implement interface changes and create clearer engineering handoffs.

Notes from the work.

Short write-ups on bugs, benchmarks, and design choices I wanted to document.

The short version.

A little context beyond the repositories.

Sanish Kumar

I'm a Computer Science graduate and an AI Engineer Intern at NiftyBooks, working on computer-vision pipelines, image-editing tools, and model-serving APIs.

Outside work, I build spatial software and developer tools. I like being able to test the difficult parts: whether a faster algorithm changes the answer, or a route stays usable when a lift goes down.

Tools I use

These are the technologies that show up in the work above, not a list of everything I've tried.

Languages
  • Python
  • TypeScript
  • JavaScript
  • C++
  • SQL
Backend and distributed systems
  • FastAPI
  • Node.js
  • PostgreSQL
  • Redis
  • REST
  • WebSockets
Machine learning and vision
  • NumPy
  • PyTorch
  • RGB-D / TSDF
  • Diffusion models
  • Segmentation
  • Model inference
Frontend and systems tooling
  • React
  • Next.js
  • Yjs
  • Web Workers
  • WebAssembly
  • Docker
  • GitHub Actions

Let’s talk.

Email works, and so does the form. Both reach me.

I'm looking for software engineering and ML systems roles, especially work involving backend infrastructure, computer vision, or spatial software.

Location
Bengaluru, India
Time zone
IST (UTC+5:30)