Generative AI Engineer & Technology Consultant
Helping Enterprises Solve Complex Problems Using Generative AI, LLMs, and Scalable ML Systems | Computer Scientist

I’m a Generative AI Engineer with experience designing and delivering production-grade systems using large language models (LLMs), retrieval-augmented generation (RAG), and prompt engineering. Currently at IBM Consulting, I’ve built enterprise solutions for intelligent diagnostics, customer experience management, and automated support agents across multiple industries.

• 🧠 Focused on GenAI architectures with LangChain, LangGraph, OpenAI, Pinecone, FAISS
• 🔁 Developed autonomous agents for meeting analytics, medical services, and customer support
• 💼 Experience in AI diagnostics, campaign automation, DevOps, and scalable cloud deployments
• 🎓 Bachelor's in Computer Science from FAST NUCES
• ✍️ Strong communication skills with public content and internal presentations

Package Consultant (AI/ML Focus) – Mar 2023–Present

• Reduced campaign deployment time by 30% through DevOps implementation
• Used UNICA, Interact, and AppConnect for telecom campaigns, improving performance by 20%
• Created shell scripts for incident monitoring and alerting (35% faster response time)

AIML Developer – Innovation Projects (2024)

• Built DB HealthWatch, a diagnostic GenAI agent for database logs (LangChain + GPT-4 + FAISS)
• Reduced diagnosis time by 60%, improved incident classification and proactive alerts
• Implemented multi-agent system for CPU, memory, and I/O analysis with contextual email reports

Developer

• Created a FastAPI + LangChain support bot reducing ticket volumes with automated inquiry resolution
• Integrated OpenAI + Pinecone for fast, accurate responses
• Improved CSAT scores and operational efficiency with 24/7 availability

Developer

• Designed AI assistant for appointment handling, test tracking, and doctor availability
• Built LangGraph-based multi-channel agent (Telegram, WhatsApp, Instagram)
• Reduced clinic load and enhanced engagement with RAG-based architecture

Trainee Machine Learning Engineer – Aug 2022–Nov 2022

• Led Data Observability module for ML pipelines using Soda Core, Airflow, and Great Expectations
• Integrated observability APIs and improved ML debugging capabilities

Team Lead – Oct 2018–Jun 2022

• Conducted technical workshops on web and DevOps
• Mentored student teams and led project-based collaborations

Category	Tech Stack
Generative AI	LangChain • LangGraph • OpenAI GPT • RAG • FAISS • Pinecone
Machine Learning	TensorFlow • Pandas • NumPy • Gym
DevOps & Infra	AWS • Azure • Docker • Kubernetes • Jenkins • Airflow
Languages	Python • JavaScript (ES6) • C/C++ • Elixir • Java • CUDA
Databases	MySQL • PostgreSQL • MongoDB • Oracle • Supabase • Pinecone • SQL Server
Frameworks	FastAPI • Node.js • Express.js • React • Streamlit • Svelte
Version Control	Git • GitHub • GitLab • Bitbucket

B.S. in Computer Science – FAST NUCES, Peshawar (2018–2022)
Key Courses: Algorithms, OS, Web Programming, Enterprise Systems, AI, Databases

• DB HealthWatch: GenAI platform for automated database issue diagnostics
• XM Support: 24/7 customer inquiry handler using FastAPI, LangChain, Pinecone
• MediCare.AI: AI-powered multi-agent system for patient engagement
• RAG & LangGraph Workflows: Building open multi-agent GenAI systems with LM Studio

• Email: [email protected]
• LinkedIn: linkedin.com/in/essayyzed
• GitHub: github.com/essayyzed
• Website: essayyzed.github.io
• Twitter: twitter.com/essayyzed