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Jagadish Banoth

@jagadishbanoth

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AI/ML and GenAI developer building production-ready RAG and evaluation systems.

India

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What I'm looking for

I’m looking for an AI/GenAI role where I can build production-grade RAG/LLM systems, focus on evaluation and reliability, and turn prototypes into scalable inference services with real product impact.

I’m an AI/ML developer with hands-on experience in Python-based ML/LLM workflows, automation, and production-oriented AI systems. I focus on building ML-enabled applications, retrieval-augmented generation (RAG) pipelines, and deployment-ready services.

In my GenAI Engineer Intern role, I worked on retrieval workflows, prompt-driven reasoning, and AI application prototyping. I built and tested Python pipelines for knowledge retrieval, response generation, and evaluation, with an emphasis on reliability, modularity, and production readiness.

I also build end-to-end projects—from agentic multimodal RAG with faithfulness verification and retry logic to chatbots exposed via REST APIs and Docker. I enjoy rapid experimentation, model behavior analysis, and improving answer quality through workflow optimization and LLM evaluation.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Learner and Builder

Current

Independent Projects

Builds and practices AI/ML projects in Python with a focus on deployable applications, model evaluation, retrieval pipelines, and end-to-end AI system development.

Python Model Evaluation data preprocessing Workflow Automation

GenAI Engineer Intern

National Institute of Technology Karnataka

Dec 2025 - Feb 2026 (2 months)

Worked on GenAI-focused development including retrieval workflows, prompt-driven reasoning, and AI application prototyping. Built and tested Python-based pipelines for retrieval, response generation, and evaluation.

Python RAG Prompt Engineering Model Evaluation Reliability

Agentic Multimodal RAG Pipeline

National Institute of Technology Karnataka

Dec 2025 - Feb 2026 (2 months)

Built an agentic retrieval system for multimodal RAG with evidence gathering from a hybrid knowledge store and grounded answer generation.

Hybrid Knowledge Store Evidence Fusion Source Grounded Answers Faithfulness Verification Retry Logic

AI Chatbot with Knowledge Retrieval

Personal Project

Jan 2025 - Present (1 year 6 months)

Built a retrieval-augmented chatbot over structured knowledge sources with prompt flow, response validation, and fallback behavior to improve reliability.

Python NLP fastAPI Docker RAG Validation

Movie Recommendation System

Data Science Project

Developed a movie recommendation system using similarity-based and ranking-based methods with data cleaning, preprocessing, feature extraction, and evaluation.

Python Pandas scikit learn Data Cleaning data preprocessing Feature Extraction Recommendation Systems

Business Automation Workflow System

Personal Project

Designed automated business workflows for lead handling, notifications, task routing, and repetitive operational processes using reusable automation logic.

N8n Python APIs Webhooks Workflow Automation

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Karnataka

Bachelor of Technology (B.Tech), Information Technology

Pursuing a B.Tech in Information Technology with coursework in programming, data structures, and AI/ML foundations. Focus areas include machine learning/deep learning, model evaluation, prompt engineering, RAG, and deployment-ready AI services.