Damodar Kamani
Projects & Publications
RecipeNotes
AI-powered recipe platform that personalizes meal planning at scale, transforming home cooking through intelligent ingredient-based generation, dietary-aware recommendations, and efficient organization.
Lemur
AI-driven market research platform that analyzes industry trends, consumer behavior, and competitive landscapes to deliver actionable business intelligence.
Bhav
Spiritual productivity mobile app serving 1,300+ users with personalized verse reflections, event-aware reminders, and AI-powered insights to deepen engagement and mindfulness in daily practice.
The Plug
Modern college consulting website built with React and Tailwind CSS, featuring responsive design and intuitive user experience for college applicants.
Evaluating the Impact of Cognitive Behavioral Therapy on Treatment Outcomes Using Machine Learning Models: A Neural Network and Regression Analysis Approach
Published research under review demonstrating that patients receiving CBT experienced a statistically significant reduction in symptom severity, with neural‑network models outperforming linear regression in predicting long‑term recovery—offering new avenues for personalized mental‑health interventions and data‑driven resource allocation.
Achievements
Awards & Recognition
Placed 1st in our division from ~600 participants in a prize pool of $11,000
Learn moreRecognized for exceptional mathematical skills and performance on the AMC 12B
Placed 2nd in the State of Texas and qualified for the World Championship
Completed research and projects in the field of AI and healthcare earning medical credit in the Stanford School of Medicine
Leadership & Entrepreneurship
Recognized member of the ISKCON of Houston
Learn moreTeam lead research project to 15 individuals from esteemed universities in North America in Cognitive Behavioral Therapy and its impact on treatment outcomes
View websiteCompeted and placed in great standing in the Wharton Business Plan Data Science Competition as Team Collaborating Lead
Learn moreGlobal Impact & Recognition
Representative and Outreach manager for Disaster Technology Conference. Organized USC professors, Google Disaster Response Product Managers speakers, and disaster response experts to speak at the conference
Representing AI technology for positive social impact (Fidutam)
CoFounder for a literary platform publishing student's work from over 85+ countries and running summer literary programs and workshops.
View websiteMy Professional Journey
A timeline of my academic and professional experiences, showcasing my growth and contributions in various roles.
SteadiAI
- The automated platform for AI-powered inventory, supply, and marketing operations—purpose-built for small business efficiency.
Bhav
- Developed a spiritual productivity app with AI-driven insights and personalized features
- Implemented ML models for personalized content and insights
- Conducted A/B tests to enhance user engagement
- Coordinated development and stakeholder communication for timely feature delivery
RMA
- Developing advanced machine learning models to analyze and interpret complex multi-modal systems
- Integrating data from diverse sources such as text, images, and audio to enhance predictive accuracy and system understanding
Frigate
- Developed B2B financial‑management tools for Latin‑American enterprises, reducing manual reconciliation time by 25%
- Integrated React/TypeScript front‑ends with Node.js and Supabase back‑ends to deliver seamless web and mobile experiences
- Implemented machine‑learning analytics for real‑time cash‑flow forecasting, boosting prediction accuracy by 18%
Mosaiclitjournal
- DisasTECH Ambassador
- United Nations AI for Good Ambassador
Medicine4Youth
- Under publishing research in the Journal of Student Research
- Presented research at the 2024 Medicine4Youth Conference
- Evaluating the Impact of Cognitive Behavioral Therapy on Treatment Outcomes Using Machine Learning Models: A Neural Network and Regression Analysis Approach
Headstarter AI & Quantitative Analyst
- Developed LLM-powered tools for financial research and automation as a HeadstarterAI Fellow, supporting 1,200+ analysts across equity and macro verticals
- Built and deployed custom GPT pipelines for summarizing earnings calls and investor reports, improving research efficiency by 40%
- Integrated LLM engineering with financial datasets to generate real-time market insights, achieving 92% relevance rating from internal analyst testing
Junior Achievement of Southeast Texas
- Applied sentiment analysis to dynamically adjust lesson content based on real-time student interaction data
- Conducted business requirement analysis and delivered pitches to stakeholders to align project goals to pitch to investors and clients
Alumnus Capital
- Collaborated on investment strategies for clients in multiple industries
- Conducted due diligence on potential investments
Pog Bot
- Created a automated bot platform with 18,000+ users and in over 200+ servers and communities
- Secured funding from multiple angel investors
- Discord Recognized Developer
Tree-Plenish
- Engineered a web application utilizing machine learning algorithms to analyze and track tree planting activities, carbon emissions, and their ecological impact.
Education
Higher Education
B.Sc. in Data Science + Informatics
Focus on Artificial Intelligence and Machine Learning
Secondary Education
What People Say
"He impressed me with his research-based strategy and his capability to find significant insights using user behavior data. His actions formed the basis of our learning strategy by conducting data analysis to develop thoughtful experiments through quantitative models."
Get In Touch
Feel free to reach out for collaborations, opportunities, or just a friendly hello