Anshul B.

Key Skills

Software

No software listed

Top Subject Matter

LLM-assisted workflow automation (RAG and contextual retrieval) for enterprise operations

RCA automation and operational analytics using automated data analysis workflows

Top Data Types

Audio

Top Task Types

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

Project Engineer. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include n8n, OpenAI APIs, and Supabase. Education includes Bachelor of Technology, Noida Institute of Engineering and Technology (2024) and Higher Secondary Education, BBC.Sr. Sec. School (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Function Calling.

Labeling Experience

Project Engineer, Wipro (Jul 2025–Current)

Function Calling

Contributed to an internal Root Cause Analysis (RCA) automation effort for identifying, analyzing, and tracing system issues and defects across enterprise applications. Validated backend data and system metrics using databases and monitoring dashboards to improve issue resolution accuracy. Supported automated workflows that analyze logs and monitoring outputs to speed up detection of bugs and operational issues. • Built and improved automated workflows for analyzing logs and monitoring outputs. • Traced root causes of defects across enterprise applications using internal automation. • Used databases and monitoring dashboards to validate backend data and system metrics. • Improved turnaround time and resolution accuracy through systematic defect analysis.

2025 - Present

Software Engineer – Automation & Full Stack, 1to10x-ANM Enablers Pvt Ltd (Oct 2024–Jun 2025)

Prompt + Response Writing (SFT)

Built and deployed LLM-powered automation workflows using RAG, embeddings, and vector databases to generate AI-driven insights. Integrated RESTful backend APIs and data pipelines to support OpenAI-based operations across enterprise automation use cases. Supported contextual retrieval for prompt workflows used in automated systems. • Architected 20+ automation workflows using n8n and REST APIs. • Reduced manual operational overhead by 95% using integrations with OpenAI, Supabase, RAG, vector databases, and Airtable. • Designed YouTube content dashboard automation using the YouTube Data API to systematize trend analysis and audience insight synthesis. • Implemented RAG techniques enabling contextual data retrieval for LLM workflows.

2024 - 2025

Education

Work History