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A
Abhay Nigam

Abhay Nigam

AI Developer Agent & Code Generation Solutions (Labeling for AI Training)

India flagGurgaon, India
$50.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Programming Domain Expertise
LLM Evaluation
Code Automation

Top Data Types

TextText
DocumentDocument

Top Task Types

Text GenerationText Generation
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Developer Agent & Code Generation Solutions (Labeling for AI Training). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Computer Applications, Dr. A.P.J. Abdul Kalam Technical University (2017) and Bachelor of Computer Applications, Lucknow University (2014). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Text Generation and Prompt + Response Writing (SFT).

IntermediateEnglish

Labeling Experience

AI Developer Agent & Code Generation Solutions (Labeling for AI Training)

Text Generation
Designed and developed AI-powered developer agents utilizing GitHub Copilot, Anthropic Claude, and Azure OpenAI to automate code review workflows for engineering teams. Developed and deployed an AI-driven Java API Contract Agent using Anthropic Claude to automatically convert OpenAPI/Swagger contracts into production-ready Spring Boot REST APIs. These initiatives focused on generating clean and structured code examples critical for training and evaluating LLMs in coding tasks. • Delivered prompt engineering and code annotation for code generation agents. • Created synthetic code datasets to support LLM training on Java and .NET backend patterns. • Evaluated AI-generated code outputs and implemented human-in-the-loop validation. • Enhanced agent capabilities via ongoing feedback and refinements in labeling functions.

Designed and developed AI-powered developer agents utilizing GitHub Copilot, Anthropic Claude, and Azure OpenAI to automate code review workflows for engineering teams. Developed and deployed an AI-driven Java API Contract Agent using Anthropic Claude to automatically convert OpenAPI/Swagger contracts into production-ready Spring Boot REST APIs. These initiatives focused on generating clean and structured code examples critical for training and evaluating LLMs in coding tasks. • Delivered prompt engineering and code annotation for code generation agents. • Created synthetic code datasets to support LLM training on Java and .NET backend patterns. • Evaluated AI-generated code outputs and implemented human-in-the-loop validation. • Enhanced agent capabilities via ongoing feedback and refinements in labeling functions.

2024 - Present

Prompt Engineer and Conversation Data Annotator

TextPrompt Response Writing SFT
Built an AI-powered chatbot platform by integrating Azure OpenAI and Anthropic Claude via Semantic Kernel, focusing on prompt + response generation and human review cycles. Designed prompt flows and evaluated generated conversational data to improve large language model performance. Performed regular fine-tuning data collection aligned with user satisfaction and safety guidelines of enterprise chatbots. • Authored diverse prompts and validated response quality for SFT pipelines. • Tagged, classified, and rated conversational text for LLM feedback loops. • Provided summary evaluations and suggested improvements for model safety. • Used proprietary internal tools and Azure OpenAI platform tooling for annotation.

Built an AI-powered chatbot platform by integrating Azure OpenAI and Anthropic Claude via Semantic Kernel, focusing on prompt + response generation and human review cycles. Designed prompt flows and evaluated generated conversational data to improve large language model performance. Performed regular fine-tuning data collection aligned with user satisfaction and safety guidelines of enterprise chatbots. • Authored diverse prompts and validated response quality for SFT pipelines. • Tagged, classified, and rated conversational text for LLM feedback loops. • Provided summary evaluations and suggested improvements for model safety. • Used proprietary internal tools and Azure OpenAI platform tooling for annotation.

2024 - 2024

Education

D

Dr. A.P.J. Abdul Kalam Technical University

Master of Computer Applications, Computer Applications

Master of Computer Applications
2017 - 2017
L

Lucknow University

Bachelor of Computer Applications, Computer Applications

Bachelor of Computer Applications
2014 - 2014

Work History

E

EPAM Systems

Senior Software Engineer

Gurgaon
2024 - Present
T

TO THE NEW

Senior Software Engineer

Noida
2023 - 2024