Hanif — Technology Builder

• Fullstack Engineer

  Visibel.ai

  Built frontend and backend for an AI platform handling service registration, execution management, and monitoring, plus model research and training for edge deployment.

  Backend · Frontend · Model training · Edge deployment

  full story →
• Technical Lead / Backend Engineer

  DGOS

  Led a 2-person team as Technical Lead on a Vessel Management System — replacing a legacy fleet-operations platform with satellite telemetry integration and RBAC-driven reporting.

  FastAPI · Python · Satellite comms · Telemetry integration

  full story →
• Backend Engineer

  DGOS

  Part of a 4-person team building a Data Center Infrastructure Management platform — device ingestion, aggregation, and monitoring APIs across environmental sensors and AI Vision detection.

  Backend · APIs · Deployment · Computer vision

  full story →
• Fullstack Engineer

  DGOS

  Shipped a refreshed dashboard, person page, devices view, and device-level authorization on a Visitor Management System, building on a newly separated backend.

  Backend · Frontend · Device APIs

  full story →
• Backend Engineer

  DGOS

  Diagnosed and resolved a production scaling incident on a Visitor Management System by splitting a combined ingestion/API service into two independently scalable services.

  Backend · Device APIs

  full story →

I build and operate software systems, from backend services and APIs to infrastructure, connected devices, and intelligent processing.

• Dataset Collector

  Backend EngineeringComputer Vision & AIin progress

  End-to-end tool for collecting, annotating, and exporting person-attribute datasets — built to make annotation work dramatically easier.

  + story− story

  // problem

  Annotating person-attribute datasets from scratch is slow and error-prone, and near-duplicate images leaking across train/val/test splits silently inflates validation scores.

  // what i built

  A full pipeline tool — upload, batch, crop, assign, pre-label, annotate, split, export — with model-assisted pre-labeling (PULC person-attribute model + YOLO person crops), multi-user annotation with per-user leaderboards and resume-where-you-left-off, and bit-level correction tracking of who changed what.

  // technical decisions

  Model pre-labels so annotators correct rather than label from zero; group-aware splitting using 64-bit perceptual hashing so near-duplicates can't leak across splits; atomic per-row upserts with SQLite WAL for concurrency-safe annotation writes.

  // challenges

  Keeping multi-user annotation correct and concurrent — coverage tracking, overlap warnings, safe writes — on a single-machine SQLite deployment.

  Python · FastAPI · React · SQLite · YOLO · PaddleClas

• Visibel.ai

  Backend EngineeringComputer Vision & AIproduction

  Fullstack + ML platform for AI service registration, execution management, and monitoring — plus research and training of models for various tasks.

  + story− story

  // problem

  The platform needed to run AI services reliably in production while also supporting ongoing model research — and do both on edge machines with limited storage, memory, and processing headroom.

  // what i built

  Both frontend and backend for a platform handling AI service registration, execution management, monitoring, and operational reliability, alongside research and training of models for various tasks.

  // challenges

  Keeping the platform, models, and services correct and efficient on edge hardware with real resource constraints — storage, memory, and processing — without sacrificing performance or reliability.

  Backend · Frontend · Model training · Edge deployment

• Vessel Management System

  Backend EngineeringConnected Systemsproduction

  Led architecture and backend for a vessel management platform — real-time fleet telemetry, satellite integration, and operational reporting.

  + story− story

  // problem

  The project wasn't about writing new features from scratch — it was ensuring critical workflows from a legacy system kept working correctly in a new one, while improving them. That meant reverse-engineering how the old system actually behaved in production, not just how it was supposed to behave.

  // what i built

  As Technical Lead and Backend Engineer, I led a 2-person engineering team, designed the system architecture, and implemented real-time fleet telemetry processing and operational reporting — including vessel tracking with satellite integration: a satellite comms client, a background scheduler polling a mailbox and generating “laporan-inmarsat” reports, and a geotrack scheduler for position sync.

  // technical decisions

  Rather than a straight migration, we reverse-engineered legacy behaviors and hidden business rules first, then rebuilt them in a cleaner, more maintainable architecture — improving weak points without breaking what operators already relied on.

  // challenges

  Preserving operational continuity while replacing the legacy system underneath it, without disrupting established user expectations.

  // result

  Delivered in roughly 9 months, supporting a fleet of 100+ vessels (client base may exceed that).

  Python · FastAPI · SQL · RBAC · Telemetry · Satellite comms

I also work on the technical side of digital marketing — connecting websites, tracking, analytics, search, and conversion data.

>I understand how technology supports digital growth.

I like working at the intersection of technology, users, and business — building products that can be measured, understood, and improved.

Not just “I built this website.” — I built the website, implemented measurement, tracked user behavior, and used the data to decide what to improve.

Things I'm building because I want to find out what happens.

// Some of these are unfinished. That's fine — the story is the point.

• SigLIP2 person-attribute pipeline ↗

  in progress

  Fine-tunes a SigLIP2 vision backbone with one linear head per attribute group, feeding off Dataset Collector's exports — then quantizes, exports to ONNX, and compiles to TensorRT for deployment. One script per pipeline stage, no packaging, on purpose.

  SigLIP2 · PyTorch · ONNX · TensorRT

• Untitled game prototype

  idea

  Because everyone needs one abandoned game idea.

I'm a technology-focused builder with experience across software engineering, backend systems, infrastructure, connected devices, computer vision, and digital analytics. I enjoy problems where software meets the real world — and I tend to learn by building things.