Settings saved in your browser.
Built for WCAG 2.1 AA compliance.
Master's in Data Science graduate from UMass Dartmouth specializing in Generative AI architectures, LangGraph workflows, real-time inference pipelines, and advanced algorithmic problem solving.
Built an AI platform using Hugging Face Transformer models for real-time sentiment classification and emotion detection via NLP pipelines. Configured a clean FastAPI backend with Streamlit frontend integration[cite: 1].
Trained predictive machine learning variants integrated with SHAP for completely transparent and highly visual model explainability dashboard on clinical data[cite: 1].
A cross-platform desktop app that automatically organizes files into categorized folders by type. Built with modern C++17 and Qt6, packaged with a CI pipeline that ships native installers for Windows, macOS, and Linux on every release.
The best engineering pairs structured logic with creative problem solving. Here is how I balance algorithmic spaces with modern media production and quantum theories.
Deeply fascinated by structural algorithms mapped to quantum states, probabilistic computing matrix operations, and modern encryption mechanics.
💡 BACKGROUND ANIMATION HINT: The moving network across this portfolio acts as a live interactive quantum node ecosystem. Moving your cursor applies attractive magnetic forces to connection probabilities.
An engineer charts complex workflows into a clean cinematic arc.
PRANEETH (V.O.)
"Code structures logic, but narrative content builds perspective. Great platforms require clean engineering alongside engaging structure."
Leveraging screenwriting habits and narrative pacing styles to script clear, educational technical videos on YouTube, clarifying advanced topics for developers globally.
Engineered multi-agent orchestration pipelines using LangGraph and OpenAI APIs to automate extraction across 100k+ unstructured financial documents monthly, replacing monolithic prompts with modular, stateful agent graphs.
Built high-concurrency FastAPI microservices utilizing Redis semantic caching, async I/O, and streaming endpoints, maintaining <300ms p99 latency under high concurrent load.
Acquired immersive graduate-level foundation in machine learning systems, deep neural architectures, and big data management systems[cite: 1].
Ideas I'm exploring, lessons from building AI systems, and reflections on creativity and engineering. Click any card to read the full thought.
Useful resources, notes, and code samples — freely available to download.
From LangGraph agents to quantum circuits to screenplay structure —
curiosity is the only constant.
Based in the US and open to the right opportunity — remote-first, hybrid, or on-site.
Open to full-time roles in GenAI Engineering, LLM Integration, Agentic AI, and ML Backend development. Available to start immediately — let’s build something great together.
Get In TouchOpen to technical roles in Agentic AI development, Data Engineering pipelines, and backend architectural builds. Contact me via any portal below.