Autonomous Agent Systems

Building the Future of AI

$ ./m4st --deploy autonomous-agent --location bareilly.in

I'm Anuj — architect of M4ST, building autonomous agent systems from Bareilly, India. I craft intelligent agents that perceive, reason, and act.

system status: operational
agent count: 4 active
uptime: 99.97%
region: bareilly.in
7+
Years Build
50+
Projects
21
MCP Servers

About M4ST

Based in Bareilly, India, I architect autonomous agent systems under the M4ST moniker — a studio focused on building AI agents that don't just respond, but act. From perception pipelines to decision layers to tool-use orchestration, every system is designed for real-world autonomy.

My work spans the full stack of agentic AI: multimodal models, recursive reasoning loops, memory architectures, and secure sandboxed execution. I believe the next paradigm isn't bigger models — it's better agents.

Agent Architecture

Multi-agent orchestration & reasoning

Full-Stack AI

Models to deployment pipelines

Secure by Design

Sandboxed tool-use & data isolation

Skills & Expertise

Autonomous Agents

Multi-agent systems, tool-use orchestration, recursive reasoning loops, memory architectures

AI / ML

LLM fine-tuning, RAG pipelines, embedding models, multimodal perception, RLHF

System Architecture

Distributed systems, microservices, event-driven architectures, message queues

Full-Stack Dev

TypeScript, React, Node.js, Python, Go, Rust, scalable API design, real-time systems

Security & Sandboxing

Container isolation, capability-based security, audit logging, prompt injection defense

Data & Infra

Vector databases, Kubernetes, CI/CD, observability, infrastructure-as-code, edge deployment

Featured Projects

Agent Orchestration

M4ST Core

Autonomous multi-agent orchestration framework with dynamic tool discovery, recursive planning, and sandboxed execution environments.

View Project →
RAG Knowledge

Athena Memory

Long-term memory architecture for agents using hybrid vector/graph retrieval with automatic knowledge consolidation and episodic recall.

View Project →
Vision Multimodal

OmniSight

Multimodal perception layer enabling agents to process and reason over images, video streams, audio, and structured documents in real time.

View Project →
Security Infrastructure

Vault Agent

Capability-based security sandbox for agent tool execution with granular permissions, audit trails, and real-time threat monitoring.

View Project →

Development Timeline

2026 — Present

M4ST Platform Launch

Released the M4ST autonomous agent platform with multi-agent orchestration, memory systems, and sandboxed tool-use. Open-source agent SDK in active development.

2024 — 2025

Agent Systems Research

Deep research into recursive reasoning, tool-use planning, and memory-augmented LLM architectures. Built Athena Memory and OmniSight perception layer.

2022 — 2024

AI Infrastructure & Full-Stack

Designed and deployed large-scale AI infrastructure pipelines. Built real-time data processing systems and secure execution environments for AI workloads.

2019 — 2022

Foundations

Started building in Bareilly. Full-stack development, distributed systems, and the first experiments with LLM-based agents that would become M4ST.

Get in Touch

Building the future of autonomous agents from Bareilly, India. Whether you want to collaborate, invest, or deploy M4ST agents — let's talk.

Contact Info

Location Bareilly, India
Timezone IST (UTC +5:30)
Status Building agents