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Aman G.

Aman G.

AI Customer Support Chatbot (Project)

India flagVadodara, India

Key Skills

Software

Other

Top Subject Matter

Retail customer support / conversational AI
Generative AI / LLM app development (Claude, MCP, agents)

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering

Freelancer Overview

AI Customer Support Chatbot (Project). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Technology, Sardar Vallabhbhai Patel Institute of Technology (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Question Answering.

Labeling Experience

Anthropic Academy – Artificial Intelligence Certificate (Certification Coursework)

OtherQuestion AnsweringQuestion Answering

Completed production-ready LLM development work focused on building assistant capabilities using Claude API, MCP, and agentic AI system patterns. Applied prompt engineering and tool integration concepts to create functional applications from course projects. Used structured development practices to support evaluation and deployment readiness for agent/tool workflows. • Completed 13 coursework modules on Claude API, MCP, and agentic AI systems • Practiced prompt engineering and tool integration through hands-on builds • Followed agentic AI patterns to enable tool-assisted behavior • Focused on production readiness and evaluability of AI applications

2026 - 2026

AI Customer Support Chatbot (Project)

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Designed and delivered AI-driven conversational support workflows by leveraging Claude API tool-use, prompt engineering, and structured response generation for consistent outcomes. Validated and enforced JSON schema structure for multi-turn interactions across multiple retail query categories. Evaluated intent accuracy over a held-out set of test queries to measure performance and iterate on prompt/tool behavior. • Built a multi-turn chatbot architecture with system prompts and context management • Implemented few-shot prompting with JSON schema validation for structured outputs • Integrated tool/function calling via MCP server for live inventory and order tracking • Tuned the system to achieve reported intent accuracy and reduced response latency

2022 - 2026

Education

S

Sardar Vallabhbhai Patel Institute of Technology

Bachelor of Technology, Electrical Engineering

Bachelor of Technology
2016 - 2020

Work History

N

NielsenIQ

Data Operations Analyst

Vadodara
2022 - 2026