About
Detail-oriented Computer Science graduate with strong hands-on experience building custom data pipelines, semantic retrieval systems, and scalable backend architectures. Skilled in extracting insights from complex datasets, developing ETL workflows, vector search systems, and AI-powered applications. Passionate about Data Engineering, Python development, and large-scale AI infrastructure.
Skills & Expertise (32)
Work Experience
Contributor
Locus.AI
Present - Present
Engineered a secure query embedding and retrieval module for an enterprise RAG pipeline using Voyage AI to generate and validate 1024-dimensional semantic vectors. Implemented Top-K cosine similarity search using pgvector with strict tenant isolation and permission-based filtering. Architected reusable backend retrieval functions with comprehensive schemas and unit tests to ensure reliable data access.
Education
B.Tech in Computer Science Engineering - Vignan Institute of Science and Technology
2020 - 2024 · Afghanistan
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Skills (32)
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