Mohith B N

Bengaluru, Karnataka, India 0+ yrs exp 71 · Very Good

About

Detail-oriented Engineering graduate specializing in Artificial Intelligence, backend development, and pipeline automation. Proven track record building agentic AI workflows, optimizing relational databases, and training classification models. Combines strong foundations in Data Structures & Algorithms, OOP, and Operating Systems with hands-on experience deploying AI platform solutions to maximize system efficiency.

Skills & Expertise (28)

Python Advanced

8.2/10

0.5

Years Exp

Prompt Engineering Advanced

8.0/10

0.5

Years Exp

Generative AI Advanced

8.0/10

0.5

Years Exp

Java Advanced

7.5/10

0.5

Years Exp

C++ Advanced

7.5/10

0.5

Years Exp

RAG Advanced

7.5/10

0.5

Years Exp

Object-Oriented Programming Advanced

7.0/10

0.5

Years Exp

n8n Automation Intermediate

7.0/10

0.5

Years Exp

Vector Databases Intermediate

7.0/10

0.5

Years Exp

SQL Intermediate

6.8/10

0.5

Years Exp

Query Optimization Intermediate

6.0/10

0.5

Years Exp

relational databases Intermediate

6.0/10

0.5

Years Exp

Data Structures & Algorithms Intermediate

6.0/10

0.5

Years Exp

VS Code Intermediate

6.0/10

0.5

Years Exp

Streamlit Intermediate

6.0/10

0.5

Years Exp

Docker Intermediate

6.0/10

0.5

Years Exp

Git Version Control Intermediate

6.0/10

0.5

Years Exp

Flask Intermediate

6.0/10

0.5

Years Exp

ETL Pipelines Intermediate

6.0/10

0.5

Years Exp

Data Modeling Intermediate

6.0/10

0.5

Years Exp

SQLite Intermediate

6.0/10

0.5

Years Exp

MySql Intermediate

6.0/10

0.5

Years Exp

REST APIs Intermediate

6.0/10

0.5

Years Exp

FastAPI Intermediate

6.0/10

0.5

Years Exp

CSS Intermediate

5.5/10

0.5

Years Exp

HTML Intermediate

5.5/10

0.5

Years Exp

JavaScript Intermediate

5.5/10

0.5

Years Exp

Cd fundamentals

Work Experience

AI Research and Development Intern

Learners Byte

Jan 2026 - May 2026

Orchestrated end-to-end Agentic AI workflows and CRM integrations using n8n and LLM system prompts, mitigating data synchronization delays and manual overhead across analytical research operations. Implemented robust Object-Oriented Programming (OOP) principles in Python, Java, and C++ to build modular, maintainable code architectures and evaluation structures for technical assessments. Structured systemic context-engineering sequences using ChatGPT and NotebookLM to extract, clean, and optimize raw, unstructured data streams for research workflows.