Contribution to the full lifecycle of AI Social Product EchoChat (https://www.iditor.com/).

• Architected a multi-platform social ecosystem (Mobile/Flutter, Web/Next.js) powered by a microservices backend.

• Integrated multi-modal LLMs (Gemini, OpenAI, Claude) to drive core features including automated "Life Story" generation, AI-moderated content feeds, and on-device image validation/transformation.

• Engineered vector-based embedding systems for high-precision user matching and developed a custom Random Walker algorithm to cluster 30k+ geospatial "memories," creating a dynamic and diverse social map.

• Built robust Python/Selenium scraping pipelines to aggregate and process social and event data, utilizing AI agents for "Deep Research" to enrich content and automate event storytelling.

• Deployed serverless infrastructure on Vercel and Supabase with automated CI/CD workflows (GitHub Actions).

• Developed a real-time analytics dashboard to track user growth and engagement metrics across the entire platform ecosystem.

Contribution to the RESTful APIs for a Social App using TypeScript and Next.js

• Created a user-matching service using TypeScript and Supabase, utilizing cosine similarity for improved recommendation accuracy by 20%.

• Established a performant, scalable, real-time search engine for finding friends using Next.js, Supabase, and Vercel KV.

• Designed and implemented a chat-simulation API leveraging the OpenAI API for dynamic, AI-driven conversations, enhancing user engagement.

• Optimized backend architecture for scalability, reducing response times by 30% and ensuring seamless integration with front-end services.

Contribution to an AI-Driven Dating App using TypeScript and Node.js.

• Utilized TypeScript and modular component design to maintain high code quality and scalability, supporting a 35% increase in concurrent users without performance issues.

• Designed and set up comprehensive navigation in Next.js, achieving a 30% increase in user engagement through seamless page transitions.

• Created dynamic camera and profile selection features, boosting user interaction with personalized media content by 20%.

• Spearheaded user tracking with Firebase and Google Analytics, accelerating new user registration by 50%.

Contribution on Open Source Cloud Database using Java & SQL (Sep 2023 - Dec 2023) - Onsite

• Analyzed performance trade-offs between No-SQL and Distributed SQL databases in cloud environments.

• Adapted YCSB+T for benchmark across multiple database systems, enabling direct workload comparisons.

• Achieved key milestones in benchmark, adapting YCSB+T for various databases, and initiating an open-source platform and educational resource development.

Contribution on Resume Match System using Python & Transformer (May 2023 - Aug 2023) - Remote

• Conducted NLP and Machine Learning research to semantically match resumes to specific job descriptions or queries, aiding recruiters in finding the most suitable candidates.

• Applied visualization output for embedding correlations, enhancing semantic analysis clarity.

• Boosted recruitment efficiency by 25% with a tool that semantically matches resumes to job queries.

• Managed project documentation across Schematic Design, Design Development, and Construction Documentation phases for a 1.6 million sq. ft. hospital project.

• Delivered monthly progress presentations to the entire office and provided weekly internal updates.

• Streamlined data workflow by optimizing the framework between Excel and Revit.

• Cooperated with Mechanical, Electrical, and Plumbing teams for monthly value engineering initiatives.