Manogna S.

Key Skills

Software

No software listed

Top Subject Matter

Gen AI / supervised learning dataset preparation

Generative AI for proposal drafting

Gen AI-powered data analytics and insight generation

Top Data Types

Text

Top Task Types

Classification

Prompt + Response Writing (SFT)

Entity (NER) Classification

Freelancer Overview

Data Labeling Analyst (Virtual) — Forage. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Technology, Vignan's Lara Institute of Technology and Science (2027) and Intermediate, Sri Chaitanya Junior College (2023). AI-training focus includes data types such as Text and labeling workflows including Classification, Prompt + Response Writing (SFT), and Evaluation.

Labeling Experience

GenAI Proposal Generation Intern - EAB via Forage

TextClassificationEntity (NER) Classification

Used generative AI and prompt engineering to automate proposal drafting and reduce content generation time. Reviewed AI-generated outputs for quality, coherence, and relevance to business needs. Iterated on prompts to optimize results and improve effectiveness of generated proposals. • Applied prompt engineering to guide generative outputs • Evaluated and refined AI responses for quality and relevance • Automated parts of proposal drafting workflow • Improved outputs through iterative prompt testing

2026 - 2026

Machine Learning Intern - SkillCraft Technology

TextClassification

Developed and trained supervised machine learning models for classification tasks using data preprocessing, feature engineering, and evaluation methods. Implemented Python-based ML pipelines with iterative experimentation and hyperparameter tuning to improve model accuracy. Documented performance metrics and communicated results effectively to stakeholders while applying ML best practices. • Built classification models with preprocessing and feature engineering • Tuned models using Python and standard ML libraries • Measured and reported model performance metrics • Delivered findings to stakeholders with clear technical documentation

2026 - 2026

AI in Action (Virtual) — Vista Equity Partners via Forage

Text

Investigated practical AI applications in enterprise workflows to understand implementation strategies and ethical considerations. Reviewed and discussed real-world AI use cases, focusing on how AI systems are deployed and governed in organizations. Built exposure to responsible AI practices alongside enterprise-oriented AI understanding. • Studied enterprise AI workflow implementations • Considered ethical and governance implications • Analyzed real-world AI scenarios • Documented learnings from AI in action exercises

2026 - 2026

Gen AI for Proposal Generation (Virtual) — EAB via Forage

TextPrompt + Response Writing (SFT)

Used generative AI tools and prompt engineering to automate proposal drafting and reduce content generation time. Evaluated AI-generated outputs for quality, coherence, and relevance, then iterated on prompts to optimize results. Applied an AI-assisted writing workflow aligned with generative content production and quality review. • Authored and refined prompts for proposal generation • Reviewed outputs for coherence and relevance • Iterated prompts to improve quality • Supported faster proposal drafting via GenAI

2026 - 2026

Data Labeling Analyst (Virtual) — Forage

TextClassification

Annotated and labeled structured datasets to support supervised learning model training while maintaining high accuracy and consistency across samples. Followed data quality standards and labeling guidelines to ensure clean, reliable training data. Contributed to downstream AI model development by improving dataset readiness for modeling workflows. • Labeled structured records for supervised learning • Ensured adherence to labeling guidelines • Applied data quality checks for consistency • Prepared datasets for downstream training

2026 - 2026

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Education

Work History