Subham P.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

AI/ML and NLP (emotion embeddings, healthcare assistant, and applied research)

Data preparation for AI/ML analytics with multi-source datasets

Top Data Types

Text

Image

Top Task Types

Question Answering

Data Collection

Freelancer Overview

IntellliManthan (AIML, NLP Intern) Remote (Jan – May 25). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Technology, University Of Visvesvaraya College of Engineering (UVCE) (2022) and Higher Secondary Certificate (Class XII), Kendriya Vidyalaya No. 2, Jalahalli East (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Question Answering and Data Collection.

Labeling Experience

IntellliManthan (AIML, NLP Intern) Remote (Jan – May 25)

Don't discloseTextQuestion Answering

Worked as an AI/NLP intern on an academic-to-practice initiative guided by research mentorship from IIT Bombay. Focused on building and refining AI models using text-based inputs such as review and report content. The work involved developing predictive and understanding components relevant to downstream NLP tasks. • Emotion-semantic embeddings for predicting e-commerce review ratings. • Symptom and report analysis for a healthcare assistant prototype. • Implementing and validating components for an image-generation research project (VAR) using coarse-to-fine next-scale prediction. • Contributing to model development for applied NLP and AI demos within the program.

2025 - 2025

Phyllo (Data Analyst Intern) Remote (Sept – Oct 24)

OtherData Collection

Supported integration and analysis of 200+ datasets for a Flipkart data partnership project. Performed multi-source data standardization and cleaning to improve model accuracy and decision-making. Although not stated as manual annotation, the internship work contributed to preparing datasets for AI training and evaluation. • Coordinated dataset ingestion from multiple sources. • Cleaned and standardized data formats to ensure consistency. • Enhanced dataset quality to support downstream modeling. • Assisted with integration tasks needed for analytics and AI development pipelines.

2024 - 2024

Education

Work History