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Kharisma Sri WibowoGet in touch

Kharisma Sri Wibowo

Systems, Edge AI & Full-Stack Engineer

I build high-throughput backend infrastructure, edge-accelerated computer vision pipelines, and real-time wireless signal processing systems. Specialized in low-latency execution, hardware-software integration, and high-concurrency platform delivery.

Depok, Indonesia · 100% global remote

kharismasriwibowo@gmail.com · +62 838 7179 3307 · LinkedIn

Available for full-time remote roles (EOR / direct contract)

Key impact metrics

  • Sub-2s

    Edge video pipeline latency

    Server rack to embedded edge, 720p @ 20–30 FPS.

  • 66%

    RF spectrum sweep reduction

    Wideband 70 MHz–6 GHz sweep, 15s to 5s.

  • 90%

    Event delivery latency cut

    Polling to Redis Pub/Sub and WebSockets, 30s to under 3s.

  • 50%

    Query execution speedup

    High-traffic PostgreSQL plans via Percona.

Production case studies

  1. Live video streaming and edge telemetry (server → embedded edge)

    Real-time spatial video analytics and telemetry sync needed bulky on-premises racks, which created hardware friction in mobile field operations.

    • Built a central streaming API (Python Flask, GStreamer, MediaMTX, FFmpeg) for live and playback spatial analytics synced with Ground Control Station telemetry.
    • Re-architected ingestion and inference onto embedded compute with GStreamer and OpenCV, removing external server dependencies.

    Impact: autonomous, field-ready edge execution at 720p @ 20–30 FPS with sub-2-second end-to-end latency.

    Embedded edge compute, GStreamer, OpenCV, Python (Flask), FFmpeg, MediaMTX.

  2. Wideband SDR spectrum analyzer and AR protocol overlay

    R&D prototype

    High-frequency analysis needed rapid wideband RF sweeps and visual target correlation without perceptible display lag.

    • Prototyped a real-time SDR spectrum analyzer from 70 MHz to 6 GHz with automated digital IQ demodulation and signal labeling.
    • Built a proof-of-concept AR overlay projecting live cellular protocol metrics onto camera viewports.

    Impact: full-band sweep down 66% (15s → 5s); AR overlay updates 500ms–2s in technical evaluations.

    SDR (USRP), Go, Python, GStreamer, wireless protocol analysis, computer vision.

  3. Real-time event dispatching and database modernization

    Legacy HTTP polling and schema bottlenecks stalled message delivery (up to 30s) and locked queries under peak load.

    • Replaced polling with an event-driven pipeline on Redis Pub/Sub and persistent WebSockets.
    • Profiled query plans and refactored high-traffic PostgreSQL structures with Percona observability.

    Impact: event delivery down 90% (30s → under 3s); high-traffic query time down 50%.

    Redis Pub/Sub, WebSockets, PostgreSQL, Percona, Node.js, Go.

Technical stack

Edge AI and vision
Embedded compute platforms, OpenCV, GStreamer pipelines, object tracking, spatial heatmaps, vector embeddings, speech-to-text pipelines.
RF and wireless
SDR / USRP, wideband spectrum analysis (70 MHz – 6 GHz), IQ demodulation, cellular protocol analysis, AR spatial overlays.
Backend and architecture
Go, Python (FastAPI, Flask), Node.js (Express, Fastify, Hono), PHP (Laravel, CodeIgniter), modulith architecture, centralized SSO, high-concurrency APIs.
Databases and event streaming
PostgreSQL, Redis (Pub/Sub and caching), Elasticsearch, RabbitMQ, MySQL, SQLite.
Frontend and desktop
React, Next.js, TypeScript, Tailwind CSS, Electron, Flutter, Capacitor.
DevOps and infrastructure
Linux administration, Docker, CI/CD.

Work history

PT Valortek Ratanika Utama

Senior Full Stack Developer — Advanced Team

Jan 2026 – Present

  • Architected a proof-of-concept 70 MHz–6 GHz SDR wideband spectrum analyzer with automated IQ demodulation, cutting sweep duration from 15s to 5s.
  • Built a working prototype for AR spatial overlay tracking on live cellular metrics, hitting 500ms–2s target update latency.
  • Ran applied R&D on RF signal coexistence and protocol behavior in isolated RF testbed environments.
  • Stepped into stalled cross-functional engineering initiatives, cutting feature turnaround times by 50%.

Senior Full Stack Developer

Oct 2024 – Jan 2026

  • Built a central video streaming server (Flask, GStreamer, MediaMTX) with spatial analytics, then re-architected it to run self-contained on embedded edge compute (720p @ 20–30 FPS, sub-2s latency).
  • Led a full-stack revamp of an API-only authentication server in Laravel, rolling out centralized SSO and containerized Docker environments.
  • Shipped an AI content generation platform with React, Laravel, and high-throughput Go APIs interfacing with Ollama.
  • Developed an automated data intelligence platform (React, FastAPI) alongside an Electron desktop ingestion client.
  • Refactored meeting platform STT and Elasticsearch vector search indexing to reach 2-second facial inference and real-time speaker identification.
  • Consolidated 6 distributed microservices into an on-premises modulith, eliminating inter-service network overhead.

PT Dinamika Digital Semesta

Full Stack Developer

Jul 2022 – Oct 2024

  • Migrated the event dispatching layer to a WebSocket and Redis Pub/Sub architecture, cutting notification latency from 30s to under 3s (90% reduction).
  • Optimized PostgreSQL query execution plans by 50% using Percona observability profiling.
  • Implemented secure, compliant API integrations with Indonesia’s national health data platform (SATUSEHAT), maintaining encryption and data isolation standards.

Education

B.S. in Information Technology

Universitas Prof. Dr. Hamka · Graduated 2025

Certifications

  • Back End Development and APIs

    freeCodeCamp · 2024

  • Scientific Computing with Python

    freeCodeCamp · 2022

  • JavaScript Algorithms and Data Structures

    freeCodeCamp · 2021