Islam S.

Key Skills

Software

Don't disclose

Top Subject Matter

Financial Technology (FinTech)

Artificial Intelligence / Machine Learning

Software Engineering / Backend Systems

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Question Answering

Evaluation/Rating

Computer Programming/Coding

Text Generation

Text Summarization

Classification

Freelancer Overview

I have strong experience working with AI-assisted systems, backend engineering, and structured data workflows across fintech, educational technology, and conversational AI platforms. I built and managed multiple production-grade systems using Python, Django, FastAPI, PostgreSQL, Redis, Celery, WebSockets, and cloud infrastructure. My work includes implementing RAG (Retrieval-Augmented Generation) pipelines, structured knowledge chunking, response streaming, prompt orchestration, API integrations, and AI-assisted educational chatbot systems powered by LLM APIs such as DeepSeek. In addition to software engineering, I have experience evaluating outputs, debugging model-driven workflows, improving response quality, and building systems that require structured reasoning, validation, and human review processes. As CTO at Vepay, I also led QA and production review processes across backend and mobile systems, ensuring reliability, accuracy, and operational quality. My background combines strong technical engineering skills with analytical thinking, problem-solving, and the ability to work on high-quality AI training and evaluation tasks.

Labeling Experience

LLM Prompt Response Writing & AI Evaluation

TextPrompt + Response Writing (SFT)

Worked on AI-assisted conversational systems involving prompt engineering, structured response generation, response evaluation, and backend orchestration for LLM-powered applications. Experience includes building and testing conversational AI workflows, improving response quality, validating structured outputs, and creating retrieval-based knowledge systems using RAG pipelines and DeepSeek-powered APIs. Also worked extensively with Python backend systems powering AI-driven applications, including response streaming, structured knowledge chunking, function orchestration, and conversational context handling. Responsibilities included evaluating AI-generated outputs for accuracy, consistency, reasoning quality, formatting, and usability while improving workflow reliability and overall user experience.

2023 - Present

Full Stack Engineer - Full-time (Hybrid) (Cyber Buddies Ltd.)

Don't discloseTextPrompt + Response Writing (SFT)

• Developed AI-driven chatbots for a real estate platform to automate property inquiries using conversational interactions. • Implemented backend and integration logic to support question/response flows between users and the AI layer. • Worked on systems that translate user requests into chatbot outputs to improve engagement. • Chatbot automation for property inquiry handling • Conversational AI integration and response generation workflows • Backend support for AI-driven user interactions • Optimization of user engagement through dialogue responses

2024 - 2025

Education

Work History