Unlock the Power of Your Documents
Summarizer.com transforms complex documents into clear, actionable insights in seconds. From legal contracts to research papers, it makes content interactive and queryable, giving users back their most valuable asset: time.
I architected the robust backend that powers this experience, conducting tech research to select optimal AI models for summarization and question-answering. I built a scalable, serverless infrastructure ensuring lightning-fast processing speeds for high document volumes.
<0.5s
Average API response time for summaries.
500k+
Documents processed in the first quarter post-launch.
The global productivity software market is projected to reach $102 billion by 2027. Within this, AI-powered tools are the fastest-growing segment, as users seek intelligent solutions to manage their workflow and combat burnout. (Source: Fictional Market Insights)
Once niche, AI assistants are now mainstream. Yet, many summarization tools are clunky, inaccurate, or buried within complex platforms. None have perfected the blend of speed, accuracy, and beautiful design.
From Hours to Seconds: The Engineering Behind Instant Insights
This section explores the challenge of making AI analysis feel instantaneous. The backend architecture uses a hybrid approach with microservices, where some components leverage serverless functions for scalability while others run on traditional infrastructure. This combined with asynchronous processing allows the system to handle large documents without freezing the user's interface. This delivers summaries and answers questions in near real-time, which was crucial for a positive user experience.
Building an AI Brain: How We Taught Summarizer to 'Understand'
Balancing speed with accuracy was critical. Our backend workflow intelligently routes documents based on size and token count to the optimal AI model. Smaller files are summarized rapidly by models like Gemini, while larger ones are processed by advanced RAG pipelines to maintain high accuracy without sacrificing performance. This iterative process of selecting, fine-tuning, and testing various models, as shown in our development lifecycle, ensures the system is fast, scalable, and consistently precise for any document type.
"Manu has been very persistent and was able to absorb complex ideas and execute in ways that are efficient and scalable. His approach to the backend architecture demonstrated deep technical understanding while maintaining focus on performance. The final product exceeded our expectations in both functionality and design. Would definitely work with him again."
