Mohib K.

AI Engineer

Available for part-time

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Bio

Mohib K is a highly skilled Data Scientist with strong foundations in computer science and hands-on experience building production-grade AI and data systems. He specializes in large language model (LLM) applications, Retrieval-Augmented Generation (RAG), and intelligent data access systems, with proven expertise using LlamaIndex, FastAPI, Python asyncio, AWS Bedrock, OpenSearch, and modern embedding models. At Xavor Corporation, he has architected and optimized enterprise RAG and Text-to-SQL systems serving dozens of

  • Projects completed2
  • Hourly rate
  • 3-4 years experience
  • Member since Jan 2026
Expertise
PythonFast APISQLReactFlaskAWSWebScrapingNodeJSDatabase:RelationalMongoDBJavascript
Video Intro
Assessments

Problem Solving Assessment

Great score on Validate Parentheses in a String, Difficulty Medium · Great score on Word Search in Grid, Difficulty Hard · Great score on Reverse Digits of a 32-bit Integer, Difficulty Hard

Projects

Pest Detection System - Senior Year Project

Built a web app using MERN and Flask to assist farmers in early disease detection for wheat crops, achieving 93% accuracy with SVM, Random Forest, and Transfer Learning.

Text-to-SQL Chatbot (Custom Power BI Visual)

Developed and recovered a React-based chatbot implemented as a custom Power BI visual that converts natural language questions into SQL queries, executes them via a backend API, and displays results in structured tables for non-technical users. The solution supports domain-based querying, SQL visualization, error handling, and loading states, enabling seamless integration of Text-to-SQL capabilities directly within Power BI dashboards.

Experience
  1. Data Scientist

    Xavor CorporationFeb 2025Present
    • Designed and deployed a production-grade RAG system for document Q&A, summarization, and semantic search.
    • Developed an enterprise Text-to-SQL system, evolving it from a RAG-based approach toward an agentic workflow with reasoning and validation.
    • Built scalable, asynchronous backend services using FastAPI and Python asyncio to support concurrent AI workloads.
    • Owned frontend development using Gradio and built custom React-based Power BI visuals to embed Text-to-SQL into analytics dashboards.
    • Implemented vector databases and intelligent document processing pipelines to support large-scale embeddings and multiple file formats.
    LlamaIndexFastAPIGradioPython asyncioAWS BedrockQdrantAWS OpenSearch ServerlessPandasQueryEnginePlotlyPandasLangchain
  2. Software Engineer (Data Analytics)

    TechlogixAug 2023Feb 2025
    • Worked in the data analysis team at Adalfi, Techlogix’s subsidiary for loan automation and credit scoring, focusing on credit risk analytics and model development.
    • Analyzed customer financial behavior and engineered features to build explainable credit scoring models used in lending decisions.
    • Performed EDA, WOE binning, PCA, and logistic regression, collaborating with business and risk teams to align models with lending policies.
    PythonPandasSQLScikit-LearnLogistic RegressionPower BIFAST API
  3. Teaching Assistant

    FAST National University of Computer and Emerging SciencesSep 2022Jun 2023
    • Worked closely with professors to create and grade quizzes
    • Managed around 160 students across two courses and two sections
Education
  1. BSc (Honors) in Computer Science

    FAST National University of Computer and Emerging SciencesLahore2019 — 2023
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