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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[cite: 1].
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].
Integrated TensorFlow deep learning models for localized automated file and image classification inside a cross-platform localized high-performance desktop application shell[cite: 1].
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.
Researched and built automated workflows using LLM APIs, prompt architecture design, and conversational natural language pipelines. Prototyped architectural solutions for production RAG and AI multi-agent workflows[cite: 1].
Acquired immersive graduate-level foundation in machine learning systems, deep neural architectures, and big data management systems[cite: 1].
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.