Talha Z.

Hi everyone! I’m Talha Zuberi currently a Manager of AI at Askari Bank. I come from a deep technical background—working with NLP-based chatbots, multi-agent RAG systems, and real-time anomaly detection. I’ve also built custom automation using Python, n8n, and Selenium. I’m now looking to integrate this AI expertise into GTM Engineering to build more 'intelligent' outbound engines. I’d love some advice from the veterans here: For someone with a background in Machine Learning and NLP, what are the highest-leverage GTM projects to build for a portfolio?

Grateful for any insights or guidance as I bridge these two worlds!

Hi @everyone! Talha Zuberi here, as a Manager AI at Askari Bank in Islamabad. I’m joining the community to bridge the gap between Enterprise AI Engineering and GTM Automation. My day-to-day involves building production-grade AI: I’ve led initiatives for multi-agent RAG chatbots (LangChain), voice banking MVPs (LangChain toolkit and LangGraph), and real-time anomaly detection models. I see Clay as the ultimate playground for an AI Engineer. I’m currently focused on: • Advanced AI Pipelines: Integrating custom Python, FastAPI, and LLM scripts into Clay via webhooks for deeper personalization. • Workflow Automation: Building end-to-end systems with n8n and Selenium to automate the 'boring' parts of research and lead gen.

I’m not looking to move away from AI; I’m looking to show how Agentic AI can transform GTM into a high-precision engine. Always happy to geek out on LLM fine-tuning, RAG architecture, or how to bypass complex scraping hurdles! Looking forward to connecting and contributing! Linkedin: Talha Zuberi, MS | LinkedIn Fiverr: Talha Zuberi | Profile | Fiverr