Abdul Moeed
AI Engineer | LLM Developer
Automation Specialist
Building intelligent systems using Generative AI, LLMs, and real-world automation solutions to bridge the gap between complex algorithms and intuitive user experiences.
Building the future with AI.
Who I Am
I am a BS Artificial Intelligence student at PAF-IAST, driven by a deep fascination with how intelligent systems can reshape our interactions with technology. My journey spans from foundational computer science to cutting-edge Generative AI and Large Language Model architectures.
I thrive in the intersection of theory and practical implementation, possessing a strong problem-solving mindset and a commitment to continuous learning. Whether it's training deep learning models or architecting full-stack applications, I approach every challenge with an innovative perspective.
Resume
Download my detailed CV showcasing BS Artificial Intelligence coursework, hands-on experience in LLM integration and computer vision, and projects spanning generative AI and full-stack development.
Experience Journey
Lead AI Engineer & Technical Team Lead
DevVerse Technologies
Leading the development of AI-driven automation systems, LLM-powered chatbots, web applications, and data extraction solutions. Managing technical teams, mentoring interns, and overseeing the successful delivery of innovative software products that help businesses automate processes and enhance operational efficiency. This role combines leadership, AI engineering, and full-stack development to drive impactful technology solutions.
AI Intern
ATS AI Lab
Focused on developing and fine-tuning deep learning and computer vision models. Engineered end-to-end pipelines and handled cloud deployment using Azure to ensure scalable AI solutions.
Python Developer Intern
Digital Empowerment Network
Designed and implemented automated workflows utilizing Python. Integrated machine learning algorithms into existing systems to optimize data processing and operational efficiency.
Full Stack Developer
ZS Venture
Built robust web applications handling both frontend user experiences and complex backend integrations, establishing a solid foundation in software architecture before transitioning fully into AI.
Neural Architecture .
A sophisticated matrix of technical capabilities, blending cutting-edge AI engineering with robust backend infrastructure.
Cognitive
Systems
Core
Protocols
Cloud
& Ops
Deployments _
High-impact engineering solutions integrating advanced language models with practical enterprise workflows.
PDF Knowledge Extractor
The Problem
Enterprise clients struggling to query large volumes of unstructured documentation efficiently without hallucinated responses.
The Solution
A robust RAG architecture using semantic search across vector stores to ground LLM responses strictly in source material.
Intelligent Support Agent
The Problem
High volume of repetitive support tickets causing bottlenecks and degraded customer response times.
The Solution
An asynchronous API endpoint powering an autonomous agent capable of resolving Level 1 & 2 queries with context awareness.
AI Autonomous Recruiter
The Problem
Inefficient initial screening processes and lack of automated integrity checks during remote technical interviews.
The Solution
A scalable platform conducting real-time, dynamic LLM-driven interviews while simultaneously employing YOLO models for continuous integrity monitoring.