07/14/2026 updated
100 % available
AI & Data Engineer
Bhopal, India
Worldwide
B.Tech, Artificial Intelligence & Machine Learning (2026)About me
AI & Machine Learning graduate with hands-on experience in Python, SQL, Machine Learning, AI, and Data Science. Completed multiple internships in Python and software development, passionate about automation, backend development, continuous learning, and building impactful AI-powered solutions.
JavaScriptAutomatic Data Processing EquipmentArtificial IntelligenceData AnalysisBootstrap (Software)Cascading Style Sheets (CSS)Data ArchitectureData ControlData IntegrationData Manipulation LanguagesHTML EditorData IntelligencePython (Programming Language)Node.jsSmart Data
Python Development
Extensive experience building end-to-end Python applications, including scripts, automation tools, and data-driven systems covering data collection, cleaning, model training, and deployment.
Machine Learning & Artificial Intelligence
Strong foundation in machine learning and AI, including LLMs, Retrieval-Augmented Generation (RAG), ChromaDB, model training, and building AI-powered systems such as smart agriculture applications.
Data Science & SQL
Hands-on experience in data collection, data cleaning, data analysis, and data pipeline development, supported by solid SQL skills and multiple internships in data science workflows.
C++ Programming
Knowledge of C++ programming, reinforced through a dedicated 7-day workshop at NRI Institute of Information Science and Technology, Bhopal.
Retrieval-Augmented Generation (RAG)
Practical experience building RAG pipelines using LLMs and ChromaDB as a vector database, enabling context-aware retrieval and grounded query responses over domain-specific data.
Cybersecurity Fundamentals
Foundational knowledge in cybersecurity, supported by a relevant certification in the field.
Web Development
Basic knowledge of HTML, CSS, and JavaScript, complemented by a web development certification.
Version Control
Familiarity with version control basics applicable to collaborative software development workflows.
Extensive experience building end-to-end Python applications, including scripts, automation tools, and data-driven systems covering data collection, cleaning, model training, and deployment.
Machine Learning & Artificial Intelligence
Strong foundation in machine learning and AI, including LLMs, Retrieval-Augmented Generation (RAG), ChromaDB, model training, and building AI-powered systems such as smart agriculture applications.
Data Science & SQL
Hands-on experience in data collection, data cleaning, data analysis, and data pipeline development, supported by solid SQL skills and multiple internships in data science workflows.
C++ Programming
Knowledge of C++ programming, reinforced through a dedicated 7-day workshop at NRI Institute of Information Science and Technology, Bhopal.
Retrieval-Augmented Generation (RAG)
Practical experience building RAG pipelines using LLMs and ChromaDB as a vector database, enabling context-aware retrieval and grounded query responses over domain-specific data.
Cybersecurity Fundamentals
Foundational knowledge in cybersecurity, supported by a relevant certification in the field.
Web Development
Basic knowledge of HTML, CSS, and JavaScript, complemented by a web development certification.
Version Control
Familiarity with version control basics applicable to collaborative software development workflows.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Contributed to software development tasks in a professional team environment, applying programming and problem-solving skills to real project requirements.
Designed and implemented an AI-based smart agriculture application end-to-end in Python, covering data preprocessing, feature engineering, model training, and functional output. Built a RAG pipeline using an LLM and ChromaDB as the vector database, enabling context-aware retrieval and grounded query responses over domain-specific agricultural data.
Built and debugged Python applications, strengthening core programming logic applicable to backend, scripting, and data-processing work.