Muvva Babu Dhanush Kumar

Intern at Algoleap Technologies

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About Me

I am a B.E. graduate in Artificial Intelligence and Machine Learning with hands-on experience developing enterprise AI applications, full-stack web platforms, and Retrieval-Augmented Generation (RAG) systems during my internship at Algoleap Technologies. Experienced in building scalable backend services, responsive frontend applications, and integrating Large Language Models (LLMs) to solve real-world business problems. Passionate about software engineering, Generative AI, and designing intelligent, reliable, and user-centric applications while continuously learning modern technologies.

dhanushmuvva@gmail.com

+91 7329995385

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Skills

Languages

Python HTML CSS

Databases

MySQL PostgreSQL pgvector

Frameworks & Web

Node.js React RESTful APIs

Artificial Intelligence

LLM RAG

Soft Skills

Problem-Solving Communication Teamwork Collaborative

Data Science & ML

Data Cleaning Predictive Modeling Scikit-learn

Visualization

Matplotlib Seaborn Plotly Power BI

Projects

NeuralBot – Multi-Tenant AI Chatbot Platform

Developed a multi-tenant AI chatbot platform using Node.js and PostgreSQL (pgvector) with tenant-aware knowledge isolation and scalable conversational workflows. Implemented Hybrid RAG using vector similarity search and fallback retrieval strategies. Integrated OpenAI GPT-4o and Groq Llama-3 with automated website ingestion pipelines for dynamic knowledge-base generation.

Node.js PostgreSQL RAG LLM pgvector

AlgoChat – Enterprise RAG Chat Application

Developed an enterprise AI chat application with multi-LLM integration, real-time streaming responses, and conversational workflows. Built document ingestion pipelines supporting PDF, DOCX, CSV, TXT, and image-based content for RAG. Improved AI response quality through prompt optimization, vector retrieval analysis, and workflow debugging.

RAG LLM Node.js Streaming

Nike Supply Chain Intelligence – AI Product

Developed proof-of-concept AI applications for supply chain intelligence featuring conversational AI, intelligent recommendations, and enterprise product insights. Implemented Agentic AI workflow concepts involving orchestration, contextual reasoning, and LLM-driven interaction pipelines. Enhanced prompt reliability and workflow validation to improve response consistency.

Agentic AI LLM Supply Chain Python

Idea Management System

Developed a full-stack Idea Management System using React and Node.js with role-based workflows, RESTful APIs, and dashboard modules. Engineered workflow automation for structured idea evaluation, approval processes, and organizational collaboration. Built backend APIs and dynamic dashboards to streamline idea management and operational tracking.

React Node.js Full-Stack REST API

Algoleap Agentforce Readiness Scorecard

Developed a SaaS-based AI readiness assessment platform with automated scoring workflows and interactive dashboard interfaces. Implemented backend integrations and PDF report generation to deliver comprehensive AI readiness assessments. Built responsive frontend components and workflow automation for seamless user experience.

SaaS Node.js React PDF Generation

Algoleap Website Migration – WordPress to Next.js

Contributed to migrating the corporate website from WordPress to Next.js with modular frontend architecture and reusable components. Improved website performance, maintainability, and scalability through component-based development and frontend optimization. Collaborated on content migration, responsive UI implementation, and operational workflow enhancements.

Next.js React WordPress Frontend

Heart Disease Prediction

Built a heart disease prediction model using machine learning algorithms like Logistic Regression. Preprocessed data with normalization, encoding, and feature selection to enhance model accuracy. Evaluated model performance using accuracy, precision, recall, f1-score, and confusion matrix.

Python Machine Learning Scikit-learn

IoT Smart Irrigation System

Designed an IoT-powered irrigation system adapting to real-time climate conditions. Used sensors to monitor soil moisture, humidity, and temperature for optimized watering. Integrated microcontrollers and cloud-based dashboards for efficient agricultural decision-making. Published at ICDSMLA 2024, Mohan Babu University.

IoT Cloud Python Agriculture

Professional Experience

Jan 2026 - Present

Intern

Algoleap Technologies

Contributed to an enterprise Idea Management System with role-based workflows and scalable backend APIs, and designed a multi-tenant AI chatbot platform featuring intelligent ingestion, RAG-based knowledge isolation, and website-aware behavior inference.

Feb 2025 - May 2025

AI - Data Quality Analyst

Rooman Technologies

Gained hands-on experience in data cleaning, modeling, visualization, and collaboration using Python and Agile practices during an internship at Rooman Technologies.