Led the full-stack development of Imagine Explainers, an UGC AI-driven educational platform, growing to 100K+ users and boosting MRR by 13% using Javascript, Next.js, Prisma, Stripe, AWS, and Anthropic. Built a multi-threaded social media data pipeline and analytics platform with Apify, Vercel, MongoDB, Next.js, and TypeScript, processing 1K+ videos hourly for 100+ Studyfetch creators, improving content strategy. Integrated personalized recommendation algorithms and RAG chatbots for videos with OpenAI embeddings and Pinecone, boosting session time by 18% and conversions by 4%.

As CTO of our ticketing marketplace, I lead a skilled team in designing and developing our platform. I focus on performance, security, and reliability, driving best practices and emerging tech for our success and growth.

Conducted a dataset analysis on financial transactions using Pandas to identify patterns and anomalies alongside 3 peers led by the Department Head of Software Engineering. Crafted supervised classification and regression machine learning models using SciKit-Learn to analyze AI's impact on financial institutions and predict trends.

Developed a scalable Python-based RESTful API using Django and OpenAI to power AI-driven pay per click campaign and keyword generation, boosting client ad click-through rates by 20%. Designed a new landing page with a team of 5+ UI/UX designers and developers using React with Javascript and Figma, increasing conversion rate by 19% and boosting SEO scores by 14%. Optimized the CRM panel for consultants by adding a TTL cache for database queries with Redis, and rewriting data pipelines in PostgreSQL, improving load times by 90% and reducing API usage costs by 15%

As a software developer at Euphoria, I specialized in optimizing web performance and enhancing user experience through innovative technologies. I successfully implemented server components and incremental site regeneration (ISR) with Next.js and TypeScript, achieving an 80% improvement in page load speeds. This initiative significantly enhanced user satisfaction, especially on older devices. Additionally, I led the implementation of an indexed MongoDB schema to support a new CRM panel, ensuring efficient data storage and quick retrieval for over 200 customers. I also developed HTTP routes using Express.js and JavaScript for new business logic, and introduced GraphQL schemas to facilitate seamless collaboration with the frontend team. These efforts accelerated development speeds by 40% and enabled faster feature delivery, contributing to our team's success in delivering high-quality solutions.