Satyam

Key Skills

Software

Other

CVAT

Top Subject Matter

Software engineering reasoning and code correctness verification

Natural language processing

code generation

Top Data Types

Text

Top Task Types

Fine-tuning

RLHF

Freelancer Overview

Lead AI Trainer & Code Review Specialist (Freelance/Contractor). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and CVAT. Education includes Bachelor of Commerce, Govt. Digvijay College (2022). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Code Review Specialist (Freelance Contractor) - Freelance

CVATTextRLHF

Delivered code generation reviews and logic audits to support next-generation reasoning LLM development. Used agentic execution with sandboxed evaluations, script compilation, and automated logic verification. Validated security, logical correctness, and performance characteristics of generated code to ensure high safety standards. • Conducted comprehensive code review and logic auditing • Performed sandboxed evaluations using an agentic IDE • Built and used RLHF dataset examples with step-by-step explanations • Assessed outputs for vulnerabilities, logical flaws, and bottlenecks

2024 - Present

Lead AI Trainer & Code Review Specialist (Freelance/Contractor)

Other

Evaluated and scored LLM-generated code outputs for correctness, efficiency, and safety across Python, JavaScript, and C++. Produced preference-style rankings of model responses using strict style guidelines and security guardrails. Ran iterative checks to improve reasoning model code correctness and alignment. • Assessed runtime performance and safety constraints in generated code • Ranked responses based on style, robustness, and alignment criteria • Orchestrated parallel test suites to surface logical bugs • Performed QA-style reviews of model code outputs

2024 - Present

Data Annotation & Labeling Specialist (Independent Contractor)

OtherTextFine-tuning

Performed data annotation for NLP, code generation, and mathematical reasoning datasets to support AI training. Created ground-truth code solutions and step-by-step proofs to serve as high-quality supervision. Conducted validation loops and quality assurance audits to raise labeling accuracy. • Generated ground-truth code and mathematical proof steps • Audited peer-labeled datasets to improve label quality • Increased overall labeling accuracy by 20% through validation • Collected and formatted training data using web scraping/parsing and MCP integration

2022 - 2024

Education

Work History