About
Data Analytics postgraduate with hands-on experience across Data Science, Machine Learning, Deep Learning, Computer Vision, and Generative AI. Skilled in building AI-powered applications using Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) with Python, SQL, PyTorch, TensorFlow, and FastAPI. Proven track record designing and deploying multi-agent AI systems and production-ready ML/NLP pipelines for real-world, high-stakes domains including healthcare and aviation.
Skills & Expertise (51)
Work Experience
Data Science & Generative AI Intern
Digimantra Labs
Feb 2026 - Present
Built and deployed AI-powered applications in Python, performing data preprocessing, exploratory data analysis (EDA), and feature engineering to prepare production-ready datasets for downstream ML models. Developed and integrated LLM-driven workflows leveraging Prompt Engineering and Retrieval-Augmented Generation (RAG) to improve application accuracy, grounding, and contextual relevance. Designed and implemented REST APIs using FastAPI to serve ML and LLM models, supporting end-to-end model deployment from development through production. Collaborated cross-functionally with engineering teams using Git, GitHub, and Linux within an Agile workflow, participating in sprint planning, code reviews, and iterative releases. Supported model monitoring and evaluation cycles, translating business requirements into data-driven technical solutions.
Education
M.Sc. Information Technology (Data Analytics) - Panjab University
2024 - 2026 · Afghanistan
B.A. with Information Technology - Panjab University
2021 - 2024 · Afghanistan
Senior Secondary (Class XII) - GMSSS Chandigarh
- 2021 · Afghanistan
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Skills (51)
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