Daniyal Aziz

Building MCP-powered systems and Claude Code agents that automate sourcing, enrichment, and outreach for recruiters. One system I built directly helped a German recruiter close a placement. Designing advanced Clay tables for GTM: waterfall enrichment, ICP scoring, and signal-based sourcing pipelines pulling from Apollo, LinkedIn, and custom AI scoring layers. Building MCP servers that expose recruiter tooling (CRM, ATS, enrichment APIs) to LLMs, so sourcing, candidate research, and outreach can happen in plain language. Also run community and internal ops: engagement, content, and member onboarding.

Built production automation infrastructure for North American clients. Built a centralized multi-channel lead intake system for a Canadian beverage brand, pulling leads from Facebook Lead Ads, WordPress, and cold outreach into one clean pipeline. Deployed conversational AI chatbots on Instagram Messenger and web that qualify leads 24/7. Built property inspection booking workflows through the Reapit API, plus analytics dashboards tying Instantly.ai into GHL and Calendly for outreach tracking and automated scheduling.

Led automation delivery for international clients across legal tech, e-commerce, and real estate. Built full-cycle legal intake automation routing leads from Instagram and TikTok into CasePeer CRM. Built an eBay scraping and enrichment pipeline using Gemini with reflection-based agentic patterns to pull technical specs out of messy listings. Built multi-source lead gen engines with custom CRM dashboards, plus Retell AI voice agents for appointment setting. Stack: n8n, GoHighLevel, Retell AI, LangChain, Python.

Built and deployed automation for multiple businesses: LinkedIn lead generation workflows, content automation pipelines for blog posts, and CRM automations for customer management and engagement.

Engineered the database architecture for the Ukaab Fleet Management System on PostgreSQL and Supabase. Defined relational schemas, foreign key constraints, and indexing for data integrity and query performance, with schema versioning and access control supporting real-time tracking, driver management, and reporting.

Built an LLM-based hiring recommendation system that analyzed resumes, LinkedIn profiles, and GitHub repos to rank candidates against job posts. Benchmarked multiple LLMs for accuracy and cost, and built deployment-ready scoring for real use.

In the ongoing Buddy Program at FAST Computing Society, I have taken on the responsibility of teaching core programming concepts such as Programming Fundamentals (PF), Data Structures (DS), and Object-Oriented Programming (OOP). The program is designed to offer students a deeper understanding of these essential topics through interactive sessions, fostering both theoretical knowledge and practical skills. My aim is to guide fellow students in building a solid foundation, preparing them for more advanced courses and real-world applications.

The primary goal of our Parho and Parhao sessions is to provide essential academic support to students, ensuring they have access to crucial resources and guidance needed to excel in their studies. This support is not only beneficial but is also vital for fostering their growth and academic success.

Doing my BSc in Computer Science at FAST National University has been one of the most challenging yet rewarding experiences of my life. Courses in algorithms, data structures, software engineering, and machine learning demanded both creativity and precision, fostering a mindset of continuous improvement. The demanding nature of the program taught me resilience and perseverance. I learned to manage my time effectively, balance multiple projects, and stay focused under pressure. These experiences have not only honed my technical expertise but also shaped me into a more disciplined, adaptable, and resourceful individual. Overall, my journey at FAST has been transformative, equipping me with the skills, insights, and determination necessary to thrive in the ever-evolving field of computer science. I am excited to apply these learnings to new challenges and continue growing both professionally and personally.