Wajahat H.

AI Engineer

Available for part-time

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Bio

Wajahat H. is a highly skilled and versatile Machine Learning Engineer with a BS in Computer Science from the National University of Sciences and Technology (NUST). Wajahat demonstrates expertise across a wide range of modern technologies including Python, C++, Java, JavaScript, scikit-learn, matplotlib, spaCy, Transformers, ViT, YOLO, TensorFlow, Keras, LangGraph, SQL, PostgreSQL, Oracle, SQL Server, Airflow, Selenium, DuckDB, FastAPI, Django, Git, Docker, pgvector, Redis, S3, Flask, Playwright, and Streamlit. His…

  • Projects completed4
  • Hourly rate
  • 0-2 years experience
  • Member since Feb 2026
Expertise
PythonC++JavaSQLFlaskGitSeleniumHTMLCSSJavascriptFast APIDatabase:RelationalWebScraping
Video Intro
Assessments

General Project Assessment

Great on Implement LRU Cache Algorithm, Difficulty Medium · Great on Understanding Rate Limiting in APIs, Difficulty Medium · Great on Ensuring Real-time Data Accuracy in Mobile App, Difficulty Medium

Projects

Fracture Detection on X-Ray images

Using Segnet, ViT, YOLO on FracAtlas and GRAZPEDWRI-DX Dataset

Skin tone detection and pimple classification

Using MST-E dataset on HLNet Framework

Sentiment-based Customer Service Automation

Using DistilBERT and EmoReact

Speech-to-Speech video translation

Using OpenVoice’s voice cloning and PyDub synchronization

Experience

  1. MACHINE LEARNING ENGINEER

    REDBUFFERJul 2025 — Present
    • Developed a contract intelligence platform connecting contracts with negotiation history.
    • Engineered a cascade clause analysis pipeline.
    • Architected a FastAPI backend with async/await patterns.
    • Developed an incident management system with CLI and web interfaces.
    • Implemented session-based memory for contextual continuity.
    • Integrated Model Context Protocol (MCP) for incident data retrieval.
    OAuth 2.0OpenAIpgvectorFastAPIPostgreSQLRedisS3JWTLangGraphFlaskHTML/CSS/JS

  2. MACHINE LEARNING ENGINEER

    DATAQUARTZJun 2024 — May 2025
    • Engineered a computer vision-based suspicious behavior detection system.
    • Managed data orchestration pipelines using Prefect and Airflow.
    • Automated ETL processes for real-time data integration.
    • Developed a data integration tool for connecting multiple databases.
    YOLOv8LSTMgladiatalkscriberwhisperPrefectAirflowCRONJDBC
Education

  1. BACHELORS OF SCIENCE IN COMPUTER SCIENCE (BSCS)

    NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY (NUST)ISLAMABAD, PAKISTAN2019 — 2024
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