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Akash Saini

Akash Saini

AI/LLM training workflows - Senior Associate

Talent
DelhiMember since June 30, 2026
JavaPythonR ProgrammingMachine LearningNatural Language ProcessingWeb ScrapingPower BIMongoDBNLTKR ShinySCRUMAgile
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JavaPythonR ProgrammingMachine LearningNatural Language Processing

About

Evaluated and reviewed large volumes of structured and unstructured data/questions to ensure accuracy, quality, and compliance with project guidelines and evaluation standards. Maintained high productivity while meeting strict deadlines, collaborating with cross-functional teams to improve data quality and support AI/LLM training workflows.

Experience

AI/LLM training workflows - Senior Associate at Innodata (2026-01 – Present)

  • Evaluated and reviewed large volumes of structured and unstructured data/questions to ensure accuracy, quality, and compliance with project guidelines and evaluation standards.
  • Maintained high productivity while meeting strict deadlines, collaborating with cross-functional teams to improve data quality and support AI/LLM training workflows.

Software Development Intern at PCHF (2022-07 – 2022-12)

  • Resolved 40+ bugs to enhance reliability, wrote Java unit tests for increased coverage.
  • Developed and implemented a validation check to prevent malicious file uploads, ensuring data security.
  • Designed and deployed APIs to update loan status and created Python/MongoDB scripts for database.
  • Creating custom code aligned with business requirements, ensuring compliance and operational efficiency.
  • Investigated root causes of token expiry, implemented fixes and alerts for service downtime detection.
  • Performed root cause analysis for duplicates, developed checks ensuring unique customer record creation.
  • Collaborated in an Agile environment, following SCRUM practices with end-to-end ownership of features.

Machine Learning Engineer Intern at Swecha (2021-05 – 2021-07)

  • Performed EDA, data cleaning, created interactive dashboards using Power BI, lookup tables.
  • Led a team of 10 members in developing "Swecha Voice," a speech recognition system
  • Enhanced data collection processes by modifying the Speech Corpus to dynamically extract data.
  • Implemented web scraping techniques, automating data collection and increasing database over 6000x.

Education

Integrated Master of Science in Mathematics – Birla Institute of Technology and Science, Pilani (Pilani Campus) (2019-08 – 2023-05)

Skills

AI/LLM training workflows - Senior Associate

Reviews

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