Nishan P.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Chatbot / real estate mentor-style conversational AI

LLM-based audience generation / real estate research

Real estate RAG / natural language interface

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

ML Intern, Naamche — Mimir chatbot (backend and data engineering). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Computer Engineering, Pulchowk Campus, Tribhuvan University (2023) and High School Diploma, Nepal Higher Secondary School (2018). AI-training focus includes data types such as Text and labeling workflows including Data Collection, Prompt + Response Writing (SFT), and Evaluation.

Labeling Experience

Full-stack Python Engineer, Ghostleads — AI workflows and ML job execution

OtherText

Worked on ML and data/AI workflows for AI products that include analytical processing and orchestration. Contributed to machine learning and data pipeline execution using a workflow orchestrator. Focused on maintaining and running jobs supporting AI-generated outputs across the two primary products. • Built or supported AI/data workflows orchestrated with Dagster • Performed data analysis to support AI product features • Integrated ML/data processing with NextJS and FastAPI services • Maintained pipeline execution for AI-related tasks

2025 - Present

Freelancer / Python engineer — AI-powered real estate applications and microservices

OtherTextData Collection

Delivered machine-learning and real-estate data product development work that required experimentation with LLMs and text-based natural language interfaces. Built and supported a natural-language RAG-style experience over real estate data, requiring structured text processing and preparation for retrieval. Developed related application backends to support these AI features. • Experimented with LLMs to enable natural language interface via RAG • Supported document/data preprocessing and retrieval-related preparation • Built backends using FastAPI for AI-powered features • Implemented microservices around real-estate ML use cases

2024 - 2024

Full Time Machine Learning Engineer, Naamche — LLM research apps and AI-generated audiences

OtherTextPrompt + Response Writing (SFT)

Worked on building real-estate research applications using LLMs, including generating and refining AI outputs for user-facing audiences. Performed data analysis and machine learning work to support AI-generated audience creation workflows. Deployed scheduled jobs to an orchestration layer as part of the ML pipeline. • Analyzed data to support model-driven audience generation • Built or supported LLM-based generation for audience use cases • Orchestrated ML jobs and pipelines in Dagster • Integrated ML outputs into application services

2023 - 2024

ML Intern, Naamche — Mimir chatbot (backend and data engineering)

Don't discloseTextData Collection

Built and supported an LLM chatbot backend for the Mimir project, including dataset collection, cleaning, and preprocessing for RAG usage. Focused on preparing textual data to be stored in a vector database for retrieval and response generation. Collaborated as a backend and data engineer within the machine learning intern role. • Collected and curated conversation/property-related text sources • Cleaned and preprocessed text prior to vector indexing • Prepared data for RAG vector storage and retrieval • Supported end-to-end backend integration for chatbot functionality

2023 - 2023

Education

Work History