Rakesh T.

Key Skills

Software

Don't disclose

Top Subject Matter

Sports analytics chatbot (RAG)

Agentic coding and AI workflow integration

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Prompt + Response Writing (SFT)

Function Calling

Computer Programming/Coding

Evaluation/Rating

Red Teaming

Freelancer Overview

Lumbini Lions Chatbot (Real-time RAG chatbot with feedback loop). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Science, Pokhara University (2025) and Bachelor of Science in Computer Science and Information Technology, Tribhuvan University (2024). 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

Agentic AI workflows and function/tool calling in production systems

Don't discloseFunction Calling

Built and integrated agentic and LLM-powered workflows into production systems. Implemented long-running autonomous AI workflows involving memory and tool callings. Focused on production readiness, efficiency improvements, and operational reliability. • Implemented agentic workflows with tool calling • Managed memory and autonomous execution • Integrated AI workflows into existing applications • Improved efficiency using agentic coding techniques

2022 - Present

Lumbini Lions Chatbot (Real-time RAG chatbot with feedback loop)

Don't disclosePrompt + Response Writing (SFT)

Developed AI-enabled applications that incorporate retrieval-augmented generation workflows for real-time question answering. Built a feedback loop to improve response relevance over time using RLM-style user feedback. Deployed the chatbot to handle concurrent users during live match sessions. • Real-time RAG chatbot for sports stats and team queries • Integrated feedback mechanism to refine outputs • Ensured low-latency responses under 1s • Supported 1000+ concurrent users during live events

2021 - Present

Education

Work History