Geetesh G.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Career development assistant for resume analysis and personalized learning recommendations

Backend reliability and API documentation enabling downstream data processing for AI training workflows

Top Data Types

Text

Top Task Types

Text Generation

Freelancer Overview

CareerPath AI - Intelligent Career Development Assistant (AI resume parsing and roadmap generation). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Bachelor of Technology in Computer Science, SITAMS, Chittoor (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Text Generation, Evaluation, and Rating.

Labeling Experience

Software Engineering Intern | Amazon (reliability improvements via testing and data pipeline support)

Don't disclose

Developed and deployed backend services for critical workflows while implementing comprehensive unit and integration testing to improve system reliability. While not an annotation workflow, the work included building tested AI-adjacent data pipelines and documenting API endpoints for consistent data handling. This supports AI/data training ecosystems by ensuring accurate data ingestion and dependable service behavior. • Implemented Spring Boot services supporting high-volume transactional workflows • Automated testing with JUnit and Mockito to reduce production defects • Documented REST endpoints using Swagger/OpenAPI • Built AWS S3-based file processing pipeline to reduce processing time

2025 - 2025

CareerPath AI - Intelligent Career Development Assistant (AI resume parsing and roadmap generation)

OtherTextText Generation

Built an AI platform that parses resumes using NLP and generates personalized week-by-week learning roadmaps. The system identifies skill gaps from resume content and produces structured training guidance for students and professionals. Work involved text processing, model-based inference, and evaluation of resume parsing performance. • Resume parsing and skill-gap identification using NLP • Generation of personalized learning roadmaps • Recommendation logic using collaborative filtering for job readiness • Tracking satisfaction and operational use for 1,000+ users

2025 - 2025

Education

Work History