Available for projects

ASIK
M.

Together, we become LEGEND

AI Voice Agent & Automation Engineer

I build AI voice and text companions that actually remember users — powered by real-time WebRTC rooms and persistent memory architecture.

My current project is a live, running AI companion handling real-time voice and text interactions. I specialize in fast delivery: voice agents, API pipelines, n8n automation, and custom AI workflows.

Working prototypes in 48 hours.

48H
Prototype Delivery
100%
Voice-First Focus
4+
AI Frameworks
1×
Live Agent Running Now

// 01 — Services

AI THAT
ACTUALLY WORKS

No demo-ware. No bloated frameworks. Working integrations delivered fast, built to production standards.

🎙️
VOICE AGENTS

Real-time voice AI companions with persistent memory. They remember users across sessions and respond with ultra-low latency.

WebRTC · Persistent Memory
N8N AUTOMATION

Multi-step workflow automation wired to your stack. AI-powered triggers, conditionals, and data flows that eliminate manual work entirely.

n8n · Webhooks · APIs
🔗
API PIPELINES

Custom API integration layers connecting your tools, AI models, and databases into coherent, observable pipelines that don't break.

REST · GraphQL · Python
🧠
AI WORKFLOWS

LLM-powered workflows with memory, tool use, and retrieval augmentation. Agents that act, recall context, and improve over time.

LLM · RAG · Automation

// 02 — Tech Stack

TOOLS I
ACTUALLY USE

WebRTC Rooms Persistent Memory Python n8n LLM Agents OpenAI API FastAPI WebSockets Supabase STT / TTS Docker RAG Pipelines WebRTC Rooms Persistent Memory Python n8n LLM Agents OpenAI API FastAPI WebSockets Supabase STT / TTS Docker RAG Pipelines
Voice & Real-Time
  • WebRTC voice rooms
  • Speech-to-text (STT)
  • Text-to-speech (TTS)
  • WebSocket streams
AI & Memory
  • Persistent memory layer
  • Agentic orchestration
  • OpenAI GPT-4o
  • RAG pipelines
Automation
  • n8n workflows
  • REST & GraphQL APIs
  • Webhook orchestration
  • Custom integrations
Backend & Deploy
  • Python / FastAPI
  • Supabase / PostgreSQL
  • Docker / Render
  • Vercel / Netlify

// 03 — Signature Project

THIS IS LIVE
RIGHT NOW

Not a mockup. Not a demo script. A real, running AI companion in production.

System Online
PERSISTENT AI COMPANION

A voice + text AI companion that handles real-time conversations and actually remembers who you are between sessions. Built from scratch with WebRTC rooms for sub-100ms voice latency and a persistent memory architecture for cross-session recall.

Ask it something today. Come back tomorrow. It will recall your name, your context, your preferences. That's the differentiator.

WebRTC Rooms Persistent Memory Voice Pipeline Python GPT-4o
companion.py — running
$ python companion.py --start
[INFO] Connecting voice room...
[OK] Room active: nexus-companion-01
[INFO] Loading memory store...
[OK] Memory ready — 42 users loaded
[INFO] STT pipeline active
[OK] Agent listening on port 8080
[USER] "Do you remember what we talked about?"
[AGENT] Retrieving memory...
[AGENT] "Yes — your deadline is Friday and you prefer concise answers."
_

// 04 — Process

PROTOTYPE
IN 48 HOURS

No endless scoping calls. No vague roadmaps. Here's exactly what happens when you hire me.

01
Discovery Call

30 minutes. You tell me what you need. I ask the right questions, not the generic ones.

Day 0 · 30 min
02
Build & Ship

I build. No status theater. You get a working prototype link in 48 hours — live, testable, functional. Not a Figma file.

Day 1–2 · Async build
03
Iterate Fast

Feedback round. I refine, extend, and hand off clean code with documentation. You own it completely.

Day 3–5 · Refinement

// 05 — Why Asik M.

NOT JUST
ANOTHER DEV

Differentiator 01
MEMORY-FIRST BY DEFAULT

I don't build stateless chatbots. Every voice agent I ship uses a persistent memory layer — your AI actually learns and recalls. That's not a feature, it's the foundation.

Differentiator 02
REAL-TIME VOICE, NOT DEMO VOICE

WebRTC-based voice pipelines with sub-100ms latency. Not a pre-recorded demo. I've built it, it's running, and I know where the hard parts are.

Differentiator 03
FAST DOESN'T MEAN SLOPPY

48 hours is possible because I've already solved the boilerplate. You get speed AND clean, documented, maintainable code you can extend long after the engagement ends.

Differentiator 04
FULL PIPELINE, NOT JUST LLM CALLS

Voice, memory, automation, API orchestration — I handle the whole stack. No hand-offs, no gaps. From STT → agent logic → TTS → workflow automation, it's one coherent system.


// 06 — Contact

START YOUR
PROJECT NOW

Drop a message below or reach out directly. I respond within a few hours.

Email
contact.mgccs@gmail.com
Response time
Usually within a few hours
Availability
Open for new projects

LET'S BUILD
SOMETHING
THAT WORKS

Available for freelance contracts · Fast turnaround · Honest communication

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