Rahul Chandra's Interactive Anime Portfolio

K. Rahul Chandra

Hi! I am a passionate B.Tech student majoring in Artificial Intelligence and Machine Learning (AIML). I build smart web sites, design autonomous agents, and love bringing digital worlds to life through clean interfaces and rich interactive animations.

Since I was introduced to coding, my goal has been to bridge the gap between complex backend machine learning systems and delightful user-facing experiences. This website is a manifestation of that vision!

AIML Engineer

Malla Reddy University

Hyderabad, India

B.Tech in Artificial Intelligence & Machine Learning

Expected Graduation: 2027

CGPA 7.5 / 10

"The best way to predict the future is to build it."

Project Team Lead

At Malla Reddy University, I lead a peer developer team through software build cycles. Key responsibilities:

Directing 3-member developer sprints, mapping tasks directly to core developer skill sets.
Establishing clean version control rules to minimize deployment conflicts.
Orchestrating smooth merge pipelines on GitHub.

AI & Agentic Systems

I am highly focused on building autonomous agent frameworks (e.g. CrewAI, AutoGen, LangChain) that can collaborate on complex workflows.

I believe the next wave of computing lies in context-aware assistants that seamlessly handle developer operations, data research, and desktop integration.

Languages & Tools

Every engineer needs a toolbox. Here are the programming languages I speak fluently:

Python

Java

JavaScript

SQL

Web Stack

Creating immersive, interactive interfaces:

HTML5 CSS3 React.js Node.js Streamlit Git / GitHub

I specialize in building rich dashboards, single page applications with highly-tuned custom styles, and modular scripts.

Machine Learning Systems

Scikit-Learn

Unsupervised Clustering

Predictive Modeling

Pandas & NumPy

GenAI & Agents

Frameworks: LangChain, CrewAI, AutoGen

LLM Integration: OpenAI API, Ollama (Local Execution)

Prompt Engineering: System Instructions, Few-shot prompting

Databases & Vectors

Relational: MySQL

Vector DBs: ChromaDB, Pinecone

J.A.R.V.I.S.

Context-Aware Voice AI Agent (Solo Project)

Python LangChain OpenAI/Ollama Whisper API PyAutoGUI

An autonomous local AI assistant utilizing LLMs and Advanced Function Calling to manage system-level operations.

Implemented real-time Speech-to-Text and Text-to-Speech pipelines with Whisper API for ultra-low latency voice interaction.
Integrated custom automation scripts to control system apps, manage background calendars, and send message dispatches.
Engineered self-correcting logic where the agent adjusts command arguments dynamically based on shell responses.

Customer Segmentation

Enterprise Bank Segmentation (Collaboration)

Python Scikit-Learn Pandas NumPy Streamlit

An end-to-end unsupervised machine learning pipeline extracting actionable profiles from 1M+ transactions across 800K consumers.

Applied RFM (Recency, Frequency, Monetary) scaling and optimized K-Means clustering using the Elbow Method.
Overcame hardware memory constraints during massive data loading by optimizing feature types and batch processing.
Built a dashboard in Streamlit to visually isolate cluster properties and user demographic metrics.

Multi-Agent Assistant

Collaborative AI Research (Solo Project)

Python CrewAI LangChain ChromaDB Hugging Face

A local network where independent AI personas collaborate autonomously to conduct academic research and debug code scripts.

Programmed a multi-layered workflow: Research Agent (parses documentation), Developer Agent (writes code), and Reviewer Agent (stresstests scripts).
Integrated ChromaDB as a local embedded vector database to empower agents with semantic search capabilities.
Reduced documentation lookup time by over 60% through custom semantic caching mechanisms.