Eshan I.

Key Skills

Software

Don't disclose

Top Subject Matter

AI/ML compliance automation for SOC2 & ISO27001 questionnaires and audit workflows

Machine learning model development for stock prediction (AI training/optimization)

Legal Services & Contract Review

Top Data Types

Document

Image

Text

Top Task Types

Question Answering

Fine-tuning

Freelancer Overview

AI/ML Engineer — NoGap AI (Onsite). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud and Don't disclose. Education includes Bachelor of Engineering, Rajarajeswari College of Engineering (2025) and Secondary School, Govt Higher Secondary School Ashmuji (2020). AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Question Answering and Fine-tuning.

Labeling Experience

AI/ML Engineer — NoGap AI (Onsite)

DocumentQuestion Answering

Built an AI-powered compliance and questionnaire automation system to transform inputs into structured, compliant responses for audits. Designed logic and mappings to align generated answers with SOC2 and ISO27001 compliance requirements. Integrated document ingestion from Google Drive and Sheets to support downstream automated question-answering flows. • Engineered smart answer recommendations using historical data and mappings • Implemented UX improvements (search-based input and auto-suggestions) to support labeling/response generation • Designed control-mapping to ensure compliance-aligned outputs • Automated document ingestion to reduce manual effort and improve consistency

2025 - Present

Artificial Intelligence Intern — ProceedIt (Remote)

Don't discloseFine-tuning

Developed machine learning models and algorithms for stock prediction using historical data features. Focused on improving predictive performance through model development and evaluation over defined time horizons. Although not explicitly described as dataset labeling, the work indicates AI training and iterative model optimization using structured financial data. • Engineered stock prediction models with improved forecast accuracy • Reduced prediction errors and improved portfolio returns via model refinement • Streamlined workflow using Jira to support iterative ML development and testing • Delivered ROI improvements based on trained model performance

2024 - 2024

Education

Work History