About
AI/ML and Data Engineer with hands-on experience building LLM-powered applications, RAG pipelines, and agentic AI systems using LangChain and open-source LLMs (Llama 3), alongside enterprise-scale ETL and data pipeline engineering (500,000+ records/month) at Capgemini. Proven ability to design, deploy, and optimize production systems spanning Python, FastAPI, vector databases, and structured data workflows. Strong foundation in prompt engineering, database schema design, and scalable backend architecture.
Skills & Expertise (33)
Work Experience
Software Engineer
Capgemini
May 2025 - Present
Engineered automated Python and Pandas ETL pipelines processing 500,000+ monthly records, reducing manual effort by 80% and saving 15+ hours per week. Designed 20+ scalable database schemas and validation scripts, improving query performance by 40% and achieving 99.9% data accuracy. Collaborated on S/4HANA migration initiatives, including CDS view design and OData service development, applying structured problem-solving directly transferable to AI pipeline and workflow engineering.
Research-Based Intern
Compsoft Technologies
Aug 2023 - Oct 2023
Led development of an AI-powered automated parking system using OpenCV and YOLOv8 for real-time vehicle detection and counting, reducing manual inspection time by 70%.
Education
B.E., Computer Science and Engineering - Dayananda Sagar Academy of Technology and Management
2020 - 2024 · Afghanistan
Certifications
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Skills (33)
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