AVISHI TAYAL
@avishitayal1
I build production-grade Generative AI and automation pipelines that reduce manual document-processing work.
IndiaWhat I'm looking for
At Tech Mahindra, I build production-grade Generative AI document intelligence pipelines using Azure OpenAI and prompt engineering, reaching 85–87% extraction accuracy and cutting invoice processing time by 60%.
I also develop Python and Selenium automation for document, onboarding, and offboarding workflows, reducing manual effort by up to 75%. My work spans RAG, NLP, AWS Textract, AWS Translate, Oracle data validation, and multilingual enterprise solutions.
Experience
Work history, roles, and key accomplishments
Architected an end-to-end Generative AI invoice processing pipeline using LLMs and Azure OpenAI to extract, classify, and structure data from 1000+ Salesforce invoices per month into JSON for Oracle database integration. Designed and optimized Prompt Engineering strategies, improving extraction accuracy from 60% to 85–87%.
Associate Analyst — AI Developer and Automation Engineer
Jul 2024 - Present (2 years 2 months)
Developed production-grade Generative AI document intelligence pipelines using Azure OpenAI and Prompt Engineering, achieving 85–87% extraction accuracy and reducing document processing time by 60%. Architected Python and Selenium-based RPA solutions, reducing manual effort by 70–75%.
Built an intelligent Python automation system with a status-driven workflow controller to process 50+ simultaneous employee lifecycle requests, reducing PMO operation time by 65%. Reduced manual verification effort by 70% for 200+ monthly HR requests by automating CWR form validation and email workflows.
Education
Degrees, certifications, and relevant coursework
KIET Group of Institutions
Bachelor of Technology, Computer Science
2020 - 2024
Grade: 8.9/10
Bachelor of Technology in Computer Science with a minor in Data Science, achieving a CGPA of 8.9/10.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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