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AI Engineer with 2+ years in LLM fine-tuning and AI pipeline design
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Assessing your cultural and operational fit
AI Engineer with 1.5+ Years experience in LLM fine-tuning, embedding model development, and AI pipeline design for production-ready applications. Skilled in building AI agents, proficient in deep learning, ML, with a foundation in development to deliver end-to-end scalable AI solutions. Adept at optimizing model performance, deploying scalable architectures, and driving innovation through applied AI research and engineering.
National University of Sciences and Technology
BE Software Engineering · Software Engineering
August 1, 2022 – June 30, 2026
Quanticept AI
AI/ML Engineer (Contract)
November 1, 2025 – May 1, 2026
India
National University of Sciences and Technology
AI Research Assistant
May 1, 2025 – January 1, 2026
India
ITSOLERA Pvt Ltd Islamabad
AI/ML Intern
June 1, 2024 – September 1, 2024
India
Big Data Business Intelligence Pvt Ltd (UK)
Mobile App Developer
February 1, 2023 – May 1, 2023
UK
Ask Deen: Islamic Mobile Application
January 1, 2026 – June 1, 2026
Enhanced search functionality through Retrieval-Augmented Generation (RAG) by creating a vector database and knowledge base of Quranic ayahs categorized by topics and subtopics; implemented web scraping to enrich content sources.
Chatbot QA Testing System using Agentic AI
January 1, 2026 – June 1, 2026
(Research) Automate QA testing using agent-based AI to evaluate chatbot responses for accuracy, coherence, and completeness across various scenarios and datasets. Chatbot security and Hallucination performance measurements, etc.
Attendance System using Facial Recognition
January 1, 2026 – June 1, 2026
Attendance system using facial recognition with integrated database. Implemented it on hardware (esp32-cam) to make it useful for real use.
INSPECTRA AI
January 1, 2026 – June 1, 2026
AI automated code testing tool, built on LangGraph and crewAI architecture, provides code static and dynamic testing and SQL query optimization using AI agents, will be provided as python library. (and IDE extension later). Provide code smelling, readability improvements, dynamix error/exception testing and code correction and detailed report generation.
Voice integrated Medical Chatbot
January 1, 2026 – June 1, 2026
AI-powered chatbot with voice input/output capabilities to assist prescriptions and appointment in nearby hospitals using realtime map functionality. Integrated speech recognition for seamless user interaction.
OpenTendr: Automating Digital Transactions
January 1, 2026 – June 1, 2026
Created a system that automates the digital currency transactions via digital Wallets (BASE). Making transaction completion process just one click (Deeplink or QRCode scan).
Testing Chatbot Systems using Agentic AI approach
Journal - IJIST
June 1, 2026 – Present
MCP: Rich Context AI Apps Building
DeepLearning.AI
June 1, 2026 – Present
Data Science
iNeuron.ai
June 1, 2026 – Present
Post-Training of LLMs
DeepLearning.AI
June 1, 2026 – Present
Data Analytics
DigiSkills.pk
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
AWS
June 1, 2026 – Present
Preventing Knowledge-Base injection attacks on RAG
InProcess
June 1, 2026 – Present
Machine Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
LangGraph Essentials
LangGraph
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal, academic, and contract work, demonstrates a broad interest in applying AI across various domains (e.g., healthcare, education, Islamic studies, code testing). This diversity, coupled with experience in both research and practical application, suggests adaptability and a willingness to explore different challenges. The focus on cutting-edge AI technologies like agentic AI and LLM fine-tuning aligns well with an innovative and research-oriented culture. The candidate's educational background and certifications further support a commitment to professional development, which is a positive indicator for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, particularly in developing AI-driven solutions. The academic and personal projects suggest a strong drive for continuous learning and application of new technologies. The experience as an AI Research Assistant and AI/ML Engineer (Contract) points to an ability to work independently and contribute to complex AI projects. However, without direct interview data, specific soft skills like teamwork, leadership, and communication in a collaborative setting cannot be fully assessed.