Computer Science | Gen AI

Damodar Kamani

Applied AI • FinTech • Research

JPMorganAfore CapitalUniversity of Texas at AustinStanford University
Awards & Recognition

Awards & Recognition

  • TiE APP-A-THON Winner
  • AIME Qualifier
  • VEX World Championship Qualifier
  • Stanford CME
Leadership & Entrepreneurship

Leadership & Entrepreneurship

  • Co-Founder @ Colicit
  • Medicine4Youth Research Lead
  • Wharton Data Competition Team Lead
Global Impact

Global Impact

  • DisasTECH Ambassador
  • Mosaiclitjournal CoFounder

My Professional Journey

A timeline of my academic and professional experiences, showcasing my growth and contributions in various roles.

Software Engineer Intern

J.P Morgan and Chase

2026
  • Incoming Engineer - Summer 2026
Tech-Product Lead

Tree-Plenish

2025
  • Rebuilding the entire architecture and ecosystem
Co-Founder

Colicit.com

2025
  • The automated platform for AI-powered developer onboarding.
  • Raised 50k pre-seed @ 1M valuation through Afore Capital
CTO

Bhav

2025
  • 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
Research Associate

Stanford University

2024
  • Specialized in clinical AI research at Stanford, focusing on ML for patient safety
  • Earned CME credit
  • Explored neural networks and workflow integration in healthcare
Software Engineer Intern

Frigate

2024
  • Built B2B finance tools cutting manual work by 25%
  • Integrated full-stack apps (React, Node.js, Supabase)
  • Developed and deployed deep learning models for real-time cash-flow; improved forecast accuracy by 18%
Director of Operations

Mosaiclitjournal

2024
  • DisasTECH Ambassador
  • United Nations AI for Good Ambassador
Research Lead

Medicine4Youth

2024
  • 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
Engineering Fellow

Headstarter AI & Quantitative Analyst

2024
  • Built LLM-driven automation tools for 50+ financial analysts
  • Deployed AI pipelines for earnings call summaries and real-time market insights (40% faster)
Head of Technology and Research Analyst

Junior Achievement of Southeast Texas

2023
  • Used sentiment analysis to improve student engagement for 500+ students
  • Delivered 5+ tech pitches to investor and client stakeholders
Investment Analyst Intern

Alumnus Capital

2023
  • Collaborated on investment strategies for clients in multiple industries
  • Conducted due diligence on potential investments
Discord Bot Developer

Pog Bot

2023
  • Created a automated bot platform with 18,000+ users and in over 200+ servers and communities
Software Developer Intern

Tree-Plenish

2023
  • Engineered a web application utilizing machine learning algorithms to analyze and track tree planting activities, carbon emissions, and their ecological impact.

Education

The University of Texas at Austin

Higher Education

B.Sc. in Data Science + Informatics

Focus on Artificial Intelligence and Machine Learning

Carnegie Vanguard High School

Secondary Education

Clients

He impressed me with his research-based strategy and his capability to find significant insights using user behavior data.

StarStarStarStarStar

Jerry Fan,

Type-Along

Damodar converted our business website into something better by applying his technological capabilities and solution-focused ideas.

StarStarStarStarStar

Maheshwar Ajaykumar,

Layamandir

Damodar worked to develop our core internal platform with AI integration as his primary goal with reliable platform systems.

StarStarStarStarStar

Rhea Chitanand,

Tree-Plenish