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Biplavi Maharjan

Biplavi Maharjan

Freelance AI & Data Evaluation Enthusiast

Nepal flagLalitpur, Nepal
ExpertOther

Key Skills

Software

Other

Top Subject Matter

AI Quality Assurance
Large Language Model Evaluation
Sensor Data Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

Freelance AI & Data Evaluation Enthusiast. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and MATLAB. Education includes Bachelor of Science, Kathmandu University (2022) and High School Diploma, United Academy (2020). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation and Rating.

Expert

Labeling Experience

Freelance AI & Data Evaluation Enthusiast

OtherText
Worked as a freelance AI and data evaluation enthusiast focused on large language model quality assurance. Responsibilities included validating AI-generated text, reviewing structured project outputs, and checking data accuracy. Utilized technical and analytical skills gained through academic assignments and personal projects. Proficient in Python and Excel, applied these tools for data evaluation tasks. • Evaluated outputs from large language models for accuracy and completeness. • Documented findings and identified errors or inconsistencies in AI outputs. • Applied structured testing procedures to ensure data quality and reliability. • Used Python and Excel for automated and manual text data evaluation.

Worked as a freelance AI and data evaluation enthusiast focused on large language model quality assurance. Responsibilities included validating AI-generated text, reviewing structured project outputs, and checking data accuracy. Utilized technical and analytical skills gained through academic assignments and personal projects. Proficient in Python and Excel, applied these tools for data evaluation tasks. • Evaluated outputs from large language models for accuracy and completeness. • Documented findings and identified errors or inconsistencies in AI outputs. • Applied structured testing procedures to ensure data quality and reliability. • Used Python and Excel for automated and manual text data evaluation.

2025 - Present

Academic Report: Signal Processing Analysis

Document
Processed datasets as part of an academic signal processing analysis report. Verified calculations and checked data quality using MATLAB. Created clear visualizations and analytical reports to communicate results. Employed structured methodologies to guarantee the reliability of processed data. • Used MATLAB for dataset processing and validation. • Verified and checked quality of processed data sets. • Produced visualizations and written reports for analysis review. • Ensured adherence to structured workflows for quality assurance.

Processed datasets as part of an academic signal processing analysis report. Verified calculations and checked data quality using MATLAB. Created clear visualizations and analytical reports to communicate results. Employed structured methodologies to guarantee the reliability of processed data. • Used MATLAB for dataset processing and validation. • Verified and checked quality of processed data sets. • Produced visualizations and written reports for analysis review. • Ensured adherence to structured workflows for quality assurance.

2022

Sensor Data Analysis Project

OtherDocument
Conducted sensor data analysis as part of an academic project using Python and Excel. Reviewed datasets for accuracy, identified inconsistencies, and documented errors with suggested corrections. Prepared structured reports highlighting findings and reasoning. Ensured data reliability by applying logical reasoning and structured methodology. • Analyzed sensor data to detect inconsistencies and errors. • Generated and documented recommendations for data corrections. • Created detailed reports to support AI and data QA objectives. • Used Python and Excel for data analysis and evaluation.

Conducted sensor data analysis as part of an academic project using Python and Excel. Reviewed datasets for accuracy, identified inconsistencies, and documented errors with suggested corrections. Prepared structured reports highlighting findings and reasoning. Ensured data reliability by applying logical reasoning and structured methodology. • Analyzed sensor data to detect inconsistencies and errors. • Generated and documented recommendations for data corrections. • Created detailed reports to support AI and data QA objectives. • Used Python and Excel for data analysis and evaluation.

2022

Education

U

United Academy

High School Diploma, High School Education

High School Diploma
2018 - 2020
U

United School

Secondary School Certificate, Primary and Secondary Education

Secondary School Certificate
2008 - 2019

Work History

S

Society Of Electrical And Electronics Engineer

Electronics Instructor

Lalitpur
2024 - 2024
S

Society Of Electrical And Electronics Engineer

Graphic Designer

Lalitpur
2022 - 2023