Adhil Payingalil
Research Analyst Ii @Humber Polytechnic
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WORK HISTORY
Research Analyst Ii @Humber Polytechnic
Toronto, ON, CA
Built production-ready data pipelines using Python, MongoDB, and cloud infrastructure to automate large-scale document processing workflows, reducing manual data handling by 90%.• Engineered advanced LLM integration systems with Google Gemini API, implementing custom prompt engineering and multi-agent workflows to extract structured data from unstructured documents with 95%+ accuracy.• Built scalable vector search and matching algorithms using embeddings and MongoDB Atlas, implementing two-stage optimization that achieved 10x performance improvements for semantic similarity matching across large datasets.• Designed enterprise workflow automation using n8n with custom webhook endpoints, AI-powered document processing, and integrated cloud services to create end-to-end automated pipelines for document generation and management.
EDUCATION
Humber College
Post-graduation
Christ University, Bangalore
Bachelor of Technology
ABOUT ADHIL PAYINGALIL
Result-driven data professional with over 2 years of experience in translating complex business needs into actionable data solutions. Blending a strong foundation in Engineering with advanced Data and Business Intelligence skills, I excel at leveraging modern data technologies to drive insights, support informed decision-making, and optimize operations. My journey in data began by leading backend analytics and optimizing LMS operations for large-scale digital products in Ed-tech space at BYJU\'s. After an educational break pursuing my post-graduation in Business Insights & Analytics, I am currently working as a Research Analyst developing AI-powered data pipelines and automation workflows. I\'m looking for the a position where I can continue to learn and contribute to solving new challenges within Data Analytics/ Engineering / Automation space. If your team is tackling interesting analytical problems, I\'d love to connect and explore how I can contribute.
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