Vishwanath M.

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Clickworker

Top Subject Matter

Chemistry (JEE/NEET, STEM reactions/diagrams)

Chemistry exam preparation (JEE/NEET)

Chemistry education content (SME-driven labeled educational assets)

Top Data Types

Text

Document

Image

Top Task Types

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

AI Content Creator & Evaluator — Vishwanath Chemistry. Brings 26+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Claude, ChatGPT, and Gemini. Education includes Master of Philosophy, Global Open University (2010) and Master of Science, C.C.S. University, Meerut (1999). AI-training focus includes data types such as Text and Document and labeling workflows including Prompt + Response Writing (SFT), Fine-tuning, and Evaluation.

Labeling Experience

Chemistry SME & Content Annotator — AICE (Amity Institute of Competitive Exams)

TextFine-tuning

Curated and labeled 1000+ previous-year JEE/NEET chemistry questions with topic tags, difficulty levels, concept categories, and step-by-step solution annotations. Designed classification schemas for chemistry question banks to support structured retrieval and AI-model fine-tuning. Produced answer rationales and concept linkages formatted to align with instruction-tuning datasets for domain LLMs.• Applied topic/difficulty/concept taxonomy labeling to exam question corpora.• Added step-by-step solution annotations suitable for instructional AI training.• Engineered schema design for structured retrieval and model tuning.• Produced rationales and concept linkage data for instruction-tuning alignment.

2024 - Present

AI Content Creator & Evaluator — Vishwanath Chemistry

TextPrompt + Response Writing (SFT)

Produced 500+ structured chemistry MCQs with correct answer labels, distractor rationales, and difficulty tags aligned to JEE/NEET domains. Evaluated AI-generated chemistry explanations by rating factual accuracy, logical coherence, and instructional quality in an RLHF-style feedback loop. Authored and iteratively refined domain-specific prompts while building clean, structured outputs for downstream ML training and ingestion into pipelines.• Generated supervised-training style labeled datasets (MCQs, answer keys, difficulty/distractor metadata).• Conducted RLHF-style evaluation of AI responses for domain accuracy and pedagogy.• Created HTML-based annotation templates with JSON-style answer key structures.• Flagged and corrected hallucinations, incorrect nomenclature, and flawed reaction mechanisms in labeled content.

2023 - Present

Chemistry Faculty & Content Developer — Vishwanath Chemistry (Own Brand)

Document

Created instruction-following educational content using structured, labeled data architectures for AI-assisted learning materials. Supported preparation-focused chemistry learning through SME evaluation, quality control, and content structuring for publication-ready modules and datasets. Produced domain teaching materials that can be converted into labeled assets for ML and educational pipelines.• Designed structured educational modules (interactive HTML/PowerPoint/PDF) with labeled data architecture.• Performed SME validation and error detection on STEM educational content.• Built automated document generation workflows programmatically from structured datasets.• Delivered long-term domain SME guidance for curriculum-aligned learning content.

2000 - Present

Education

Work History