Available for new opportunities

Crafting Digital
Masterpieces.

I'm Pachabhatla Dhanush, a motivated developer with growing expertise in NLP, Generative AI, Deep Learning, and Agentic AI systems alongside Full Stack development.

Dhanush

Pachabhatla Dhanush

AI & Full Stack Engineer

Available

Contributions.

My programming activity and open-source contributions on GitHub.

 

Engineering
with Purpose.

I am deeply focused on designing and building intelligent AI applications. I excel in creating scalable systems across the entire stack—seamlessly integrating cutting-edge machine learning models into robust full-stack products.

Beyond engineering, I am passionate about advancing Agentic AI systems and contributing to impactful research, such as deepfake detection and drug discovery.

Generative AI & LLMs
Developing agentic architectures, complex RAG pipelines, and conversational interfaces.
Deep Learning
Training custom GANs and Transformer models for specialized use cases.
Full-Stack Engineering
Building robust web applications using React, Next.js, FastAPI, and Node.js.
Data & MLOps
Managing vector databases, knowledge graphs, and scalable model deployment.

Technical Arsenal

The tools and technologies I leverage to build production-grade applications.

Python
React / Next.js
PyTorch
TensorFlow
Node.js / Express
MongoDB
TypeScript
Langchain / RAG
Tailwind CSS
Neo4j / GraphDB
Docker
FastAPI
Selected Works

Digital Experiences

A curated selection of my recent technical achievements and creative explorations.

Featured Project

Conditional Molecule Generation

A GAN-based molecular generation framework supporting both conditional and unconditional molecule synthesis using SMILES, trained on a large-scale dataset of 500,000+ molecules.

PyTorchGANsTransformersRDKit

Agentic Clinical DSS

An end-to-end AI system converting unstructured medical reports into structured clinical knowledge using an agentic RAG architecture and entity-centric embeddings.

NLPPineconeLLMs

Agentic Startup Assistant

Autonomous multi-agent research assistant utilizing tool-using LLM agents to analyze startups, markets, and funding trends through structured planning.

LangChainMulti-Agent

DeepFake Video Detection

A robust DeepFake detection system built with a CNN-BiLSTM architecture (ResNet-50 and temporal modeling), achieving 91.26% validation accuracy.

PyTorchResNet-50BiLSTM

GitHub Repositories

Explore my complete portfolio of open-source contributions, experimental projects, and algorithmic problem-solving directly on my GitHub profile.

Open SourceContributions
Start a Conversation

Let's Build Something
Extraordinary

Whether you have a specific project in mind, need technical consulting, or just want to connect, I'm always open to discussing new opportunities.

Location

Raichur, India

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