Nithin K.

Key Skills

Software

Other

Don't disclose

Google Cloud Vertex AI

Top Subject Matter

Machine Learning for health/fitness analytics

calorie expenditure prediction.

Fintech data processing and API-based structured data delivery.

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Data Collection

Classification

Text Generation

Object Detection

Computer Programming/Coding

Transcription

Bounding Box

Freelancer Overview

AI Intern, Edunet Foundation — Machine learning regression model development for calorie expenditure prediction.. Brings 2+ 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, CMR Engineering College (2022) and Intermediate, Narayana Junior College (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection, Computer Programming, and Coding.

Labeling Experience

AI Intern, Edunet Foundation — Machine learning regression model development for calorie expenditure prediction.

OtherData Collection

Built a machine-learning regression pipeline to predict calorie expenditure from structured health data during an AI internship. The work included data preprocessing, feature engineering, and end-to-end handling from inputs to model deployment. Results were used in an interactive real-time prediction application for user input and feedback. • Preprocessed structured health datasets for model readiness. • Performed feature engineering to improve regression performance. • Implemented an interactive prediction workflow in a Streamlit application. • Supported an end-to-end process from data handling to deployment.

2025 - 2025

Software Development Engineer, Bluestock Fintech — Backend data processing and REST API development for structured financial data.

Don't disclose

Contributed to backend workflows and structured data processing for a fintech system involving large-scale financial data. The role focused on designing REST API endpoints and supporting data flow integration across system components. While not explicitly an AI-training role, it supported AI-adjacent structured data delivery for downstream applications. • Designed backend workflows to process and store large-scale financial data. • Developed REST API endpoints to deliver structured data for apps. • Coordinated full-stack integration to ensure seamless data flow. • Led a sub-team within a cross-functional team environment.

2024 - 2025

Education

Work History