AI solutions that automate, optimize, and drive business impact. From intelligent automation to custom AI models, we help businesses unlock the true power of AI.
Reduce manual effort, streamline operations, and let AI handle the heavy lifting.
Build tailor-made AI models that enhance data analysis, decision-making, and automation.
Develop advanced AI-driven chatbots and assistants that elevate customer experiences.
Generate high-quality content at scale, personalized for your audience.
Work with our AI experts to design, develop, and deploy custom AI solutions that fit your business goals.
Deliver personalized experiences through AI-powered chat and tailored content
Automate repetitive tasks & streamline workflows to cut inefficiencies and reduce operational costs
Implement AI solutions designed to align with your specific business goals and requirements
Effortlessly grow your business with AI solutions that adapt to your evolving needs
Minimize errors and enhance precision in data processing and decision-making with AI-driven tools
Unlock actionable insights from your data to drive informed, data-driven decisions
A fully autonomous evaluation engine that understands the context of diverse question types—descriptive, essay-based, and more—to accurately score responses. Beyond just grading, it provides personalized, actionable feedback to help learners improve and grow.
Developed enhanced Gaussian Process implementation combining neural networks with Stan for industrial fouling detection. Created monitoring systems to track model behavior and resolved complex framework compatibility challenges between Stan and GPyTorch.
An autonomous AI-powered assistant that monitors and responds to customer reviews and ratings across your online listings (e.g., Google Maps, Play Store). It crafts contextually relevant replies to engage customers, enhance brand credibility, and build a strong, responsive online presence—without manual effort.
Reviewed cutting-edge algorithms combining neural networks with thermodynamic principles to predict how RNA molecules fold. The research examined various methods including convolutional neural networks, bidirectional LSTMs, and hybrid approaches that integrate traditional dynamic programming with deep learning to address the NP-complete challenge of RNA structure prediction.
Developed full-stack data visualization platform using Python, Plotly, and Streamlit. Implemented predictive models with uncertainty quantification for reliable emissions forecasting, enabling data-driven decision making for sustainability initiatives.
Led development of machine learning pipeline combining CNN and K-Means models for medical-grade seizure detection. Managed technical team through the complete development cycle, resulting in successful delivery to Orion Pharma and inclusion in Futurice's technical showcase.
Building AI solutions at FutureBits while researching AI safety and human-AI interaction. I develop custom AI solutions using machine learning and LLMs, with past work in LLM behavior, AI in healthcare, and mathematical modeling.
I'm interested in AI education, safety, and human-centered applications. Open to discussing business challenges or collaborating on AI safety research.