Sai C.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Generative AI multi-agent systems for resume-job description intelligence

Machine learning explainability and predictive analytics for churn

Workflow automation in a fintech application (MVP)

Top Data Types

Text

Top Task Types

Function Calling

Freelancer Overview

I have experience working with AI-related projects involving data processing, annotation understanding, prompt evaluation, response comparison, and quality analysis for machine learning and language model tasks. My background in Computer Science and Artificial Intelligence has helped me develop strong analytical thinking, attention to detail, and problem-solving skills that are important for AI training and data labeling work. I am comfortable evaluating model responses for correctness, safety, clarity, and logical reasoning, especially in coding, technical, and analytical domains. In addition, I have hands-on experience with Python, SQL, data analytics, and automation projects, which allows me to understand structured and unstructured data efficiently. I have worked on AI-driven systems, predictive analytics projects, and technical documentation tasks that required accurate labeling, validation, and interpretation of information. My ability to learn quickly, follow detailed guidelines, and maintain consistency while handling large amounts of data helps me produce high-quality and reliable outputs for AI training workflows.

Labeling Experience

Fync — AI-First Shared Wallet FinTech Platform (MVP)

Other

Implemented backend and workflow automation components for an AI-first fintech MVP involving onboarding and approval-based payment flows. Built modular client-facing and data synchronization workflows to support real-time transaction management. While not explicitly an AI training/labeling role, the project includes automated workflow design that supports AI-enabled application behavior. • Designed onboarding systems and approval-based payment workflows. • Implemented real-time transaction synchronization and backend workflow orchestration. • Built modular front-end architecture for maintainable scalable workflows. • Architected database schemas for wallets, authentication, and transactions.

2022 - Present

Churn Intelligence System — ML + Explainability Platform (Python, Scikit-learn, SHAP)

Other

Developed a churn prediction and explainability ML workflow using probabilistic classification and feature attribution. Applied SHAP-based explainability to generate interpretable insights for prediction transparency. Designed analytical pipelines to support customer behavior analysis and risk segmentation decision workflows. • Trained classification models for churn likelihood and risk segmentation. • Implemented SHAP explainability for feature-level interpretation. • Built interpretable ML pipelines supporting explainable decision-making. • Produced analytical outputs for predictive insight generation.

2022 - Present

AI Multi-Agent Career Intelligence System (LLM APIs, Streamlit, GenAI)

Don't discloseFunction Calling

Built and orchestrated an LLM-based multi-agent workflow for automated resume and job-description analysis. Implemented structured JSON pipelines with validation and evaluation-based quality checks to reduce inconsistencies and handle hallucination mitigation. Integrated planner/executor/critic/memory agent roles to generate ATS keywords, recommendations, and automated reports from unstructured text. • Created structured JSON workflow outputs for downstream consumption and verification. • Added retry, validation, and evaluation steps across agent interactions. • Developed hallucination mitigation and response inconsistency checks using evaluation pipelines. • Built CLI and Streamlit interfaces for interactive workflow execution and visualization.

2022 - Present

Education

Work History