AI Engineer | Data Engineer |
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Freelancer
AI Engineer
June 12, 2026 – Present
Supply-Chain-Analytics
April 7, 2026 – Present
Supply-Chain-Analytics — GitHub repository
View ProjectDATA-PIPELINE-PYSPARK-FASTAPI-
January 5, 2026 – Present
DATA-PIPELINE-PYSPARK-FASTAPI- — GitHub repository
View Projectdivith-raju-postgreSQL
March 26, 2025 – Present
Implementing PostgresSQL best practices for Data Engineer
View Projectdivith-aju-Hadoop-Pyspark-pipeline
August 17, 2024 – August 17, 2024
This project demonstrates the creation of a scalable data processing pipeline for handling and analyzing log data from a hypothetical e-commerce platform. Leveraging Hadoop and PySpark, the pipeline is designed to process large volumes of log files, providing meaningful insights into user behavior, system performance, and sales metrics.
View Projectdivith-raju-OpenMetadata
December 27, 2022 – December 27, 2022
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
View Projectdivith-raju-Hadoop-Connectors-Master
December 25, 2022 – December 25, 2022
divith-raju-Hadoop-Connectors-Master — GitHub repository
View Projectdivith-raju-Immigration-Data-Engineering
December 25, 2022 – December 25, 2022
A Capstone Project that covers several aspects of Data Engineering (Data Exploration, Cleaning, Modeling, Pipelining, Processing)
View Projectdivith-raju-Building-Big-Data-Infrastucture-NoSQL-And-SQL
December 25, 2022 – March 30, 2024
Big Data Platform on MongoDB Atlas and Heroku PostgreSQL
View Projectdivith-raju-SearchEngine-Wikipedia
December 24, 2022 – December 24, 2022
search engine optimizationA complete search engine experience built on top of 75 GB Wikipedia corpus with subsecond latency for searches. Results contain wiki pages ordered by TF/IDF relevance based on given search word/s. From an optimized code to the K-Way mergesort algorithm, this project addresses latency, indexing, and big data challenges.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data engineering and big data, which aligns with foundational aspects of an AI Engineer role. The diversity of projects (data pipelines, search engine, metadata, supply chain analytics) indicates a broad interest in data-intensive applications. However, the projects are predominantly personal and lack explicit collaboration or team-based work, making it difficult to assess cultural fit in a professional team setting. The target role is 'AI Engineer', but the projects lean more towards data engineering rather than core AI/ML model development, deployment, or research, suggesting a potential gap in direct role alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.