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AI Engineer with 4+ years in LLM and Computer Vision applications.
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Assessing your cultural and operational fit
AI Engineer & Data Scientist with 4+ years of experience building production-grade LLM applications, RAG pipelines, and Computer Vision systems. MS in AI from NUST. Delivered 3 live production deployments including an enterprise legal chatbot and a medical imaging system. Open to remote opportunities.
NUST, Islamabad
Master of Science in Artificial Intelligence
September 1, 2021 – January 1, 2024
Mehran UET, Jamshoro
Bachelor of Engineering · Telecommunication
November 1, 2016 – January 1, 2021
Evantagesoft
AI Engineer / Data Scientist
February 1, 2024 – Present
Karachi, Sindh, Pakistan
Independent Consultant
Freelance AI Engineer
May 1, 2022 – January 1, 2024
India
Coral Classification in Unconstrained Underwater Imagery
September 1, 2021 – January 1, 2024
Designed a deep neural network for large-class coral classification with pre/post-processing for underwater image quality enhancement. Achieved accuracy surpassing benchmark datasets (best: 100%); fine-tuned YOLOv8 for coral reef segmentation achieving 90% accuracy.
Deep Learning Based Vehicular Traffic Monitoring
November 1, 2016 – January 1, 2020
Customized YOLOv4 for vehicle detection and number plate recognition using Tesseract OCR; object counting via OpenCV.
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Building Scalable Agentic Systems
Unknown
June 1, 2026 – Present
Introduction to Docker
Unknown
June 1, 2026 – Present
Advanced Learning Algorithms
Unknown
June 1, 2026 – Present
Supervised Machine Learning: Regression & Classification
Unknown
June 1, 2026 – Present
Introduction to Computer Vision and Image Processing
Unknown
June 1, 2026 – Present
SQL for Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, particularly in an innovative and fast-paced environment. Their project diversity, spanning computer vision, NLP, and generative AI, showcases a broad interest and adaptability. The experience with both academic research and industry applications, including freelance work, indicates a self-starter mentality and a drive for continuous learning and application of new technologies. The focus on delivering production-grade systems and improving real-world metrics aligns well with a results-oriented culture. The breadth of skills, from core ML algorithms to MLOps and backend development, suggests a well-rounded individual capable of contributing across different stages of AI product development.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through their project descriptions, where they tackled complex challenges like reducing LLM hallucination and improving anomaly detection. Their experience leading end-to-end development of a live production chatbot suggests strong project ownership and execution capabilities. The diverse range of projects, from academic research to freelance and full-time roles, implies adaptability and a proactive learning attitude. The descriptions also highlight a focus on practical, impactful solutions, such as automating manual tasks and improving data labeling throughput.