Syed Sulaiman zamani profile photo 1 on Tal

Syed Sulaiman zamani

Artificial Intelligence Engineer at Visionet Systems Inc.

Bengaluru

3+ years of work experience

Visionet Systems Inc.
Jun 20266 mosPresent

Bangalore Urban, Karnataka, India

Led the development of Software Foundry, a comprehensive platform designed to fully automate the SDLC for diverse personas including developers, managers, and testers. By integrating Agentverse, we successfully leveraged autonomous AI agents to drive intelligent automation across workflows. To support this multi-tenant ecosystem, I architected a context graph system using dynamic, Dockerized Neo4j containers, ensuring strict project isolation under different user accounts. Built on a modern stack of Python, TypeScript, React, and Postgres, the application incorporates cutting-edge Agentic AI frameworks and the Model Context Protocol (MCP) for seamless data interoperability.
Stavtar Solutions
Aug 20241 yr 10 mosMay 2026

Bengaluru, Karnataka, India

Dhaapps
Jun 20242 mosJul 2024

India

TalentServe
Feb 20244 mosMay 2024

Bangalore Urban, Karnataka, India

Prinston Smart Engineers
Jun 20239 mosFeb 2024

Bengaluru South, Karnataka, India

Syed’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
cursor
cursor
gemini
gemini
github copilot
github copilot
kiro
kiro

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE, information science and engineering

Visvesvaraya Technological University

20204 yrs2024

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Syed Sulaiman zamani on Tal

Headline

Artificial Intelligence Engineer at Visionet Systems Inc.

About

I’m a Software AI Engineer at Visionet Systems with 21+ months of experience spanning enterprise software development, full-stack engineering, and AI-driven solutions. My journey started in enterprise FinTech development at Stavtar Solutions, where I worked with Angular, .NET, SQL, and complex financial data workflows. That experience gave me a strong foundation in building production-grade software and solving real-world engineering problems. Today, my focus has shifted toward **Artificial Intelligence and autonomous software engineering**. At Visionet, I’ve been involved in building **Software Foundry**, a platform designed to automate the Software Development Life Cycle for developers, managers, testers, and other engineering personas. The platform integrates **AgentVerse and autonomous AI agents** to intelligently automate software workflows. One of the key engineering challenges I worked on was designing a **multi-tenant context graph architecture using Dockerized Neo4j containers**, enabling isolated project contexts across different user accounts. The platform is built using **Python, TypeScript, React, and PostgreSQL**, with technologies such as **Agentic AI frameworks and Model Context Protocol (MCP)** enabling intelligent interaction between agents, tools, and enterprise data. I’m particularly interested in: 🤖 Agentic AI & Autonomous Agents 🧠 Large Language Models (LLMs) 📚 Retrieval-Augmented Generation (RAG) 🔗 Model Context Protocol (MCP) 🕸️ Context Graphs & Knowledge Graphs ⚙️ AI-powered Software Engineering 🚀 Production-grade AI Systems I’m passionate about transforming AI from a conversational technology into **reliable, autonomous systems that can reason, interact with tools, understand context, and execute meaningful workflows**. Always learning, building, and exploring what’s next at the intersection of **Software Engineering and Artificial Intelligence**.

Location

Bengaluru

AI stack

anthropic apis

claude code

cursor

gemini

github copilot

kiro

Work experience

Artificial Intelligence Engineer at Visionet Systems Inc., Jun 2026 - Present · 6 mos, Bangalore Urban, Karnataka, India, Led the development of Software Foundry, a comprehensive platform designed to fully automate the SDLC for diverse personas including developers, managers, and testers. By integrating Agentverse, we successfully leveraged autonomous AI agents to drive intelligent automation across workflows. To support this multi-tenant ecosystem, I architected a context graph system using dynamic, Dockerized Neo4j containers, ensuring strict project isolation under different user accounts. Built on a modern stack of Python, TypeScript, React, and Postgres, the application incorporates cutting-edge Agentic AI frameworks and the Model Context Protocol (MCP) for seamless data interoperability.

Associate Software Developer at Stavtar Solutions, Aug 2024 - May 2026 · 1 yr 10 mos, Bengaluru, Karnataka, India

Data Science Intern at Dhaapps, Jun 2024 - Jul 2024 · 2 mos, India

Trainee at TalentServe, Feb 2024 - May 2024 · 4 mos, Bangalore Urban, Karnataka, India

Intern at Prinston Smart Engineers, Jun 2023 - Feb 2024 · 9 mos, Bengaluru South, Karnataka, India

Education

Bachelor of Engineering - BE, information science and engineering, Visvesvaraya Technological University