Lucas

As a Claude (Anthropic) Ambassador, I help represent Anthropic and its flagship AI model, Claude, on the Indiana University campus. My role focuses on promoting responsible AI development by engaging peers with workshops, hackathons, and collaborative events. I also create content to share my experiences with Claude and partner with campus organizations to expand awareness of AI’s applications in problem-solving and learning. Within this program, I serve as the president of the Claude Builder Club, an official student organization sponsored by Anthropic, and lead its executive board. Some highlights include 7+ workshops hosted by us and featuring team members from Anthropic, 2 hackathons with 200+ students and $1.5k in prizes, and more.

I provide independent software engineering and technology consulting services to early-stage startups. I am actively taking clients; if you are interested, feel free to get in touch!

• Consult directly with founders and teams to scope requirements, translating product requirements documents (PRDs) and design systems into scalable system architecture and technology recommendations.
• Build full-stack products end-to-end, including React Native mobile apps and backend services with LLM integration.
• Design and maintain cloud infrastructure and databases (PostgreSQL, AWS, Supabase), applying security-first principles for handling sensitive user data.
• Support go-to-market efforts where needed, including marketing strategy and partnership outreach.

Selected clients

• Dumb Politics
• PlanItUni

Worked as an Undergraduate Instructor for the class C343 - Data Structures & Algorithms at Indiana University. My responsibilities included teaching labs, grading assignments, designing test cases, and supporting students.

• Selected for the Luddy School undergraduate research program.
• In Fall 2024, investigated quantum convolutional neural networks (QCNNs) within hybrid classical-quantum models. Applied Python (especially TensorFlow Quantum) and quantum computing concepts to study QCNNs
• In Fall 2025, Conducted academic research on the application of Large Language Models to clinical data (specifically EHR data), information extraction, and diagnosis prediction. Was the lead author on a paper associated with such research, which was submitted to the International Joint Conferences on Artificial Intelligence (IJCAI). Also operated a SLURM-based computing cluster to enable distributed training and inference using DeepSpeed and tensor parallelism, while implementing both learned and traditional NLP evaluation metrics. .
• Presented findings to both technical stakeholders and non-technical audiences in a poster session.

• Founded Entropic, an organization that empowers individuals and organizations in the domains of technology and entrepreneurship.
• Established a branch of Entropic at Ivy Tech (Entropic@IT) and began expanding to Indiana University (Entropic@IU), as student-led organizations that host events, networking opportunities, and technical workshops.
• Facilitated and mentored collaborative projects, including full-stack web apps, management systems for local businesses, and software-focused initiatives led by student teams.
• Created technical and entrepreneurship study guides, eBooks, and curated roadmaps for students to build practical skills with free, high-quality resources.
• Grew an engaged online community through a structured Discord server and social media channels (Instagram, TikTok, LinkedIn), along with social media content production.
• Co-hosted 2 Hackathons, each with 200+ participants and 1.5k+ in prizes

• Worked on infrastructure automation, internal tooling, and modernization efforts supporting enterprise university systems and web services. Automated server administration workflows using Bash and Python, including MySQL backups, monitoring tasks, and CI/CD improvements.
• Maintained Linux-based enterprise environments running Apache, MySQL, and PHP, with a focus on containerization using Docker and Kubernetes.
• Developed an internal dependency management platform in Java using Spring Boot REST APIs and a React-based administrative interface.
• Implemented monitoring and observability solutions with Grafana to support system reliability and operational visibility.
• Built an MCP server using Spring AI, enabling secure OAuth2-authenticated interaction with internal APIs through LLM platforms such as ChatGPT and Claude.

• Co-founded and built Hubble (later rebranded as Bobby) along with Sehoon Park, an AI-driven hiring platform connecting students with startups through voice-based candidate profiling and intelligent matching.
• Acquired 300+ student sign-ups and onboarded early-stage startups during initial beta testing to validate demand in the student–startup hiring market.
• Accepted into the IU Innovates startup incubator, where the product evolved through mentorship, iteration, and product-market fit research.
• Competed in and won multiple pitch competitions, including Start Tank and InnoQuest.
• Designed and iterated on AI voice-agent workflows to capture candidate experience, work style, and values beyond traditional resumes.
• Iterated through beta testing and user feedback, then made the strategic decision to sunset the product based on product–market fit insights. More: meetbobby.vercel.app

• Collaborated with a team of eight engineers to develop software solutions for TrueLeap, a non-profit focused on accessible e-learning.
• Used Python, PyTorch, Pinecone, and LangChain to design a chatbot powered by LLMs and Retrieval-Augmented Generation.
• Worked on goals involving driving hallucinations below 3% and improving response accuracy to ~95% using FastAPI services and better context retrieval.

• Worked on retail-focused AI/ML and data engineering initiatives supporting e-commerce operations, inventory management, and analytics workflows. Managed and optimized AWS-hosted infrastructure and data systems, including a retail inventory database containing more than 600 SKUs.
• Built and maintained scalable ETL pipelines using Python, Apache Airflow, AWS Kinesis, Pandas, and MySQL (AWS RDS) to process inventory and sales data for downstream analytics and machine learning applications.
• Performed data exploration, reporting, and visualization using Power BI, Excel, and AWS SageMaker to support operational insights and model development.
• Developed AI-driven systems including retrieval-augmented generation (RAG) applications and a real-time computer vision classification model for physical product recognition and retail automation workflows.