AI Engineer

Open to part-time
Bio

Wajahat H is an AI Engineer with several years of experience in machine learning and data engineering. He utilizes technologies such as Python, TensorFlow, FastAPI, PostgreSQL, and Redis to build complex machine learning models, REST APIs, and data pipelines. Wajahat is adept at implementing security and authentication protocols like OAuth 2.0 and JWT, and he integrates continuous integration practices in his workflow. At Red Buffer, Wajahat developed a contract intelligence platform and an incident management system, showcasing his ability to build scalable backend systems. During his tenure at Data Quartz, he engineered a computer vision-based suspicious behavior detection system and managed data orchestration pipelines, demonstrating his proficiency in real-time data integration. Wajahat holds a BS in Computer Science from the National University of Sciences and Technology (NUST). He is well-suited for roles focusing on AI system development and data-driven solutions in dynamic environments.

Expertise
PythonC++JavaSQLFlaskGitSeleniumHTMLCSSJavaScriptFast APIRelational DatabaseWeb Scraping
Video Intro
Assessments
APPLICANT AVG · 50%WAJAHAT · 80%0255075100TopASSESSMENT SCORE (0–100)
  • Great on Implement LRU Cache AlgorithmMedium
  • Great on Understanding Rate Limiting in APIsMedium
  • Great on Ensuring Real-time Data Accuracy in Mobile AppMedium
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 2025Present
    • 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 2024May 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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