AI Engineer

Open to part-time

Bio

Mohib K is a Data Scientist with several years of experience in AI and data systems, specializing in large language model applications and intelligent data access systems. He utilizes technologies such as LlamaIndex, FastAPI, Python asyncio, AWS Bedrock, and OpenSearch to build scalable AI systems, including Retrieval-Augmented Generation (RAG) and Text-to-SQL solutions. Mohib focuses on developing asynchronous backend services, intelligent document processing pipelines, and custom Power BI visuals, ensuring high performance and scalability for enterprise applications. At Xavor Corporation, Mohib designed and deployed a production-grade RAG system for document Q&A and semantic search, serving dozens of concurrent users. He also developed a React-based chatbot for Power BI that translates natural language into SQL queries, enhancing data accessibility for non-technical users. Previously, at Techlogix, he contributed to credit scoring models using statistical techniques and machine learning. Mohib holds a BSc (Honors) in Computer Science from FAST National University. He is well-suited for roles that involve building robust, scalable AI systems and data analytics solutions in enterprise environments.

Expertise

PythonFast APISQLReactFlaskAWSWeb ScrapingNode.jsRelational DatabaseMongoDBJavaScript

Video Intro

Assessments

Problem Solving Assessment

(92/100)

Validate Parentheses in a StringMedium
Word Search in GridHard
Reverse Digits of a 32-bit IntegerHard

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

Data Scientist
Xavor CorporationFeb 2025 — Present
- 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
Software Engineer (Data Analytics)
TechlogixAug 2023 — Feb 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
Teaching Assistant
FAST National University of Computer and Emerging SciencesSep 2022 — Jun 2023
- Worked closely with professors to create and grade quizzes
- Managed around 160 students across two courses and two sections