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AI Engineer with less than a year in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence undergraduate with experience in Machine Learning, NLP, and Generative AI. Skilled in Python, PyTorch, Hugging Face Transformers, Streamlit, and LLM-based applications. Experienced in building RAG systems, AI assistants, semantic search solutions, and NLP pipelines through internships and projects.
COMSATS University Islamabad
BS · Artificial Intelligence
August 1, 2023 – Present
O2Geeks
AI Intern
July 1, 2025 – September 1, 2025
India
Elevvo Pathways
AI Intern
June 1, 2025 – September 1, 2025
India
Urdu Sentence Segmentation
June 1, 2026 – Present
Developed an Urdu NLP pipeline using UrduHack and Stanza for sentence segmentation, evaluation, and automated reporting.
View ProjectRAG Research Assistant
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation system using vector embeddings, semantic search, and LLMs for document-based question answering.
View ProjectResume Screening Platform
June 1, 2026 – Present
Built a semantic candidate-ranking system using Sentence Transformers to match resumes with job descriptions.
View ProjectPFTP – Artificial Intelligence
PFTP
June 1, 2026 – Present
IBM SkillsBuild (Deep Learning, Data Science & Analytics, Chatbot Development, Career in AI)
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in GDGoC and speaking engagements indicates a proactive and collaborative mindset, which aligns well with a culture of continuous learning and knowledge sharing. The diversity of projects (NLP pipelines, RAG systems, resume screening) shows a broad interest within AI, suggesting adaptability to various team needs. The focus on AI-specific roles and projects indicates a strong alignment with an AI-centric organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and leadership roles. Their experience in developing AI assistants and screening platforms suggests an ability to translate technical skills into practical solutions. The remote internship experience indicates adaptability and self-management. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.