Lucas – Python, React, Typescript

KeepMe is an AI-powered beauty companion that helps users organize short-form beauty videos and identify products used by creators — without digging through comments. It allows users to save Instagram and TikTok beauty videos, automatically extract referenced products, and build a structured, searchable product library to make informed purchase decisions.

• Designed and implemented scalable scraping pipelines for Amazon, Sephora, Ulta and others beauty products sources
• Built resilient crawlers with data normalization and anti-bot handling strategies
• Structured extracted product metadata for downstream AI-driven matching and recommendations
• Implemented asynchronous data ingestion workflows for high-volume processing
• Improved product identification accuracy by enriching scraped datasets
• Implemented high-throughput async ingestion pipelines storing normalized product metadata in MongoDB
• Optimized indexes and query patterns to support fast product matching and AI recommendation workflows
• Structured semi-structured product data models for flexible ingestion from multiple sources

A popular EdTech tool used by over 2 million students to overcome academic obstacles by generating study notes, summaries, flashcards, and quizzes from lecture recordings. It offers an AI-driven, personalized approach to learning and problem-solving, with capabilities to help with productivity and focus.

• Led a major backend refactor from synchronous to fully asynchronous architecture, improving request concurrency and overall system throughput;
• Reworked critical API endpoints using async patterns to reduce blocking I/O and optimize latency;
• Implemented internal KPI dashboards for monitoring learning engagement, performance metrics, and system health;
• Designed observability layer for tracking AI response time, error rates, and usage patterns;
• Improved backend scalability to better support growing user traffic;
• Implemented MongoDB-based async data pipelines for storing AI interaction logs and engagement metrics;
• Built aggregation queries and indexes to support KPI dashboards and performance monitoring;
• Managed schema evolution and indexing strategies to improve query latency at scale.

A multi-tenant marketplace platform connecting artists and venues, managing the full proposal-to-payment lifecycle.

Designed and implemented a production-grade Stripe Connect integration supporting platform commissions, delayed payouts, and transaction-safe escrow-style flows between participants.

• Architected and implemented a full Stripe Connect marketplace integration (Separate Charges & Transfers model);
• Implemented Application Fee handling for platform revenue capture;
• Designed payout orchestration using Stripe Transfers with delayed release after event completion;
• Built secure Stripe webhook verification using stripe.Webhook.construct_event for signature validation;
• Implemented idempotent webhook processing to ensure retry-safe event handling;
• Designed atomic database transactions to prevent race conditions and double transfers;
• Built a secure multi-tenant backend with RBAC and tenant isolation;
• Optimized PostgreSQL transactional consistency for payment flows;
• Led backend architecture decisions for payment infrastructure;
• Implemented document-based storage for location and event metadata alongside relational systems;
• Designed query patterns for efficient retrieval of geo-related data.

A professional social networking platform designed for skilled trades professionals, allowing users to create profiles, share content, and connect with peers through a mobile-first interface. The system included social feed functionality, support for user-generated content, and built-in monetization features such as payments and advertising infrastructure.

• Led backend development for payment and monetization features;
• Designed and implemented in-app payment flows and subscription logic;
• Integrated payment providers and ensured secure transaction handling;
• Built advertising infrastructure and monetization workflows;
• Designed APIs supporting sponsored content and ad placement logic;
• Worked on user profile systems and core social interaction features;
• Contributed to scalable backend architecture supporting user-generated content.