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AI Engineer with less than a year in production-ready LLM applications and intelligent AI agents.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A Computer Science graduate with a genuine passion for Artificial Intelligence and how it's reshaping the world around us. I specialize in building production-ready LLM applications, RAG pipelines, and intelligent AI agents using Python, LangChain, TensorFlow, and FastAPI turning cutting-edge research into systems that solve real problems. With a strong foundation in transformer architectures, vector databases, and advanced prompt engineering, I bring both technical depth and a problem-solving mindset to every project. I thrive in collaborative environments and am always looking for ways to push the boundaries of what AI can do in the real world.
Khwaja Fareed University of Engineering & Information Technology (KFUEIT)
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2024
Tammz Technologies
AI/ML Engineer
September 1, 2024 – December 31, 2025
United Kingdom
NGS Technologies
Machine Learning Engineer Intern
May 1, 2023 – December 31, 2023
Rahim Yar Khan, Punjab, Pakistan
RAG-Based Intelligent Chatbots
June 24, 2026 – Present
LangChain, FAISS/Pinecone - domain-specific LLM responses with optimized semantic retrieval.
Voice Jarvis AI Assistant
June 24, 2026 – Present
Speech recognition, NLP intent classification, multi-task automation.
Health & Medical AI System
June 24, 2026 – Present
Deep learning for symptom analysis, disease classification, and clinical decision support.
Local AI Story Writing Engine
June 24, 2026 – Present
Offline LLM-powered engine with context management for long-form narrative generation.
Emotion Detection System
June 24, 2026 – Present
Real-time facial emotion recognition using CNN and OpenCV.
Restaurant AI Chatbot
June 24, 2026 – Present
NLP-driven order management with intent classification and backend API integration.
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG chatbots to emotion detection and medical AI systems, indicates a broad interest and adaptability, which can contribute positively to cultural fit. Experience in a remote role with cross-functional teams suggests an ability to work in diverse settings. The target role of 'AI Engineer' aligns well with the candidate's stated passion and technical experience in AI/ML.
Soft Skills & Operational Fit
The candidate's resume indicates experience in collaborative environments and managing CI/CD workflows, suggesting an operational fit. The professional summary highlights a problem-solving mindset and a passion for AI, which aligns with a dynamic technical role. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.