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AI Engineer with less than a year in NLP, Machine Learning & Computer Vision.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Developer and ML Engineer with 8 months of experience in developing and optimizing AI/ML models for real-world applications. Proven ability to implement NLP tasks, build end-to-end ML pipelines, and create interactive dashboards. Proficient in Python, TensorFlow, scikit-learn, and various data processing and machine learning frameworks. Strong background in creating innovative solutions for document QA, image classification, and object detection.
INTERNATIONAL ISLAMIC UNIVERSITY ISLAMABAD
Bachelor of Mathematics
August 1, 2020 – June 30, 2024
TheNixus
AI Developer
September 1, 2025 – December 1, 2025
India
TPWITS
ML Engineer
February 1, 2025 – August 1, 2025
India
Robx.AI
AI Developer
November 1, 2024 – January 1, 2025
India
End-to-End RAG-based Document QA System
January 1, 2025 – December 1, 2025
Built an end-to-end Retrieval-Augmented Generation (RAG) system using LangChain, enabling users to query PDF/DOCX documents with context-aware, citation-grounded responses. Implemented document parsing, chunking, and embedding generation, and integrated Chroma vector database for efficient semantic search, improving retrieval accuracy and reducing hallucinations.
Dress Classification
June 1, 2024 – March 1, 2025
Developed and fine-tuned a YOLO-based object detection model to identify and classify dress images as formal or casual, enabling accurate detection and categorization within images. Performed data collection, preprocessing, and manual annotation to improve model accuracy and robustness.
ATM Card Detection
April 1, 2024 – September 1, 2024
Developed a YOLO-based real-time system to detect ATM cards from live video feeds. Collected and annotated a custom dataset and optimized the model for fast, accurate detection.
Cryptographic Operations in C++
January 1, 2024 – May 1, 2024
Designed and implemented cryptographic algorithms in C++ for secure data transmission. Developed encryption and decryption processes to ensure data confidentiality.
DecoTech AI Automation training
Unknown
January 1, 2026 – Present
Samsung AI Bootcamp
Samsung
October 1, 2024 – Present
AMAL Fellowship
Stanford University
August 1, 2024 – Present
Python for Machine Learning
NUML
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio and work experience demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (RAG, object detection, NLP, cryptographic operations) and exposure to different companies (TheNixus, TPWITS, Robx.AI) suggest a broad technical curiosity and willingness to tackle varied challenges. The certifications further indicate a proactive approach to learning and skill development, which is a positive cultural indicator for a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse tasks and integrate various technologies, suggesting adaptability. The experience in building end-to-end systems implies a structured approach to problem-solving. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.