Joseph O.

Key Skills

Software

Don't disclose

Top Subject Matter

Internal organizational knowledge management and enterprise document Q&A

Fintech/accounting data processing and reconciliation

Legal Services & Contract Review

Top Data Types

Document

Text

Top Task Types

Question Answering

Freelancer Overview

Software Engineer (System & Knowledge Management) — AI/RAG system architecture and LLM application development (KEWASNET. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Diploma, Bell Institute of Technology and Certification, Columbia University. AI-training focus includes data types such as Document and labeling workflows including Question Answering, Computer Programming, and Coding.

Labeling Experience

Software Engineer (System & Knowledge Management) — AI/RAG system architecture and LLM application development (KEWASNET)

DocumentQuestion Answering

Built and deployed a production-grade Retrieval-Augmented Generation (RAG) system to enable context-aware question answering over internal documents. Implemented document chunking and vector embedding using a vector database to support retrieval for LLM responses. Optimized streaming latency and system reliability to improve end-user interactions with model outputs. • Designed RAG architecture with Django 5 and vector databases • Implemented prompt/response generation pipeline for context-aware answers • Integrated caching and rate-limiting for low-latency LLM streaming • Added monitoring via Prometheus for health and query performance

2025 - Present

Software Engineer (Contract) — Financial Automation and AI-adjacent data processing automation (ACCRAKH Institute)

Don't discloseDocument

Developed an automated financial reconciliation workflow that processes transaction datasets and classifies match vs mismatch outcomes. Tuned complex database queries to accelerate report generation for downstream analysis workflows. Designed and documented internal REST APIs to support secure data access for operational users. • Automated CSV transaction comparison at scale • Classified results into true matches vs mismatches • Optimized PostgreSQL queries to reduce generation time • Built DRF RESTful APIs for internal data consumption

2024 - 2025

Education

Work History