Hi, I'm Pranav H

Contributing to Envestnet's strategic AI-first testing initiative, specializing in the integration of Model Context Protocols (MCPs) and agentic workflows, by introducing advanced Playwright suites and AI monitoring, helping deliver the high-precision scaling and safety essential for critical financial transactions.

Drove product strategy and execution at the intersection of AI and early-stage innovation, delivering POCs, boosting user retention, and securing the company's first paid client.

Product Ownership & Execution: Spearheaded the development of multiple product proof-of-concepts, working cross-functionally with product and engineering teams to validate hypotheses and accelerate decision-making. Initiated and built a Mixpanel analytics framework to enable data-informed iteration and measure user engagement effectively.

User Experience & Growth: Revamped the onboarding experience using Appcues, resulting in notable improvements in user activation and retention. Authored detailed Product Requirement Documents (PRDs) and user documentation, aligning product workflows with user pain points and business needs to improve self-serve adoption.

Go-to-Market Impact: Led end-to-end client demo creation, directly contributing to the acquisition of multiple pilot users and securing Future AGI's first paid client. Additionally, played a critical role during the press release launch by conducting pre-release QA and ensuring product stability during peak visibility.

Engineered scalable generative AI infrastructure by integrating LLMs and vector databases, and led the development of an OCR-based medical document processing engine.

Technical Contributions: Focused on optimizing vector databases such as ChromaDB and Pinecone to strengthen data retrieval for generative AI applications. Developed scalable solutions using LangChain and LlamaIndex, deploying them using AWS to ensure reliability and scalability.

System Development & Ownership: Led the complete lifecycle development of an OCR-based Medical EOB processing engine, from system design to integration. Utilized AWS for deployment and JIRA for agile project tracking, ensuring continuous delivery and improvement.

AI Infrastructure & Deployment: Integrated vector databases with LLM pipelines and optimized performance in cloud-based environments, ensuring seamless functionality and reduced latency in real-world use cases.

Delivered an end-to-end OCR solution for financial document analysis, contributing to automation and accuracy in customer data workflows.

Internship Impact: Entrusted with a pivotal role in an OCR project. This initiative focused on automating the analysis of pay slips and bank statements, driving efficiency in financial data processing and enhancing customer interactions.

Collaborative Endeavors: Throughout the internship, I thrived in collaborative environments, working alongside peers and interns to exchange insights and refine the model. Regular interactions with the project team enabled seamless progress tracking and hurdle resolution.

Internship Achievement: The culmination of my internship marked a significant milestone as I successfully completed the development of the OCR model. This achievement empowers the project to move forward.