This past summer, I interned at Novigo Solutions, where I built and deployed ML pipelines for telecom bandwidth forecasting (achieving R² > 95%) and automated invoice digitization with YOLOv8 + OCR, significantly reducing manual entry time. In addition, I have led projects through MassAI and the UMass Data Science Club, developing predictive models ranging from real-time sports analytics to environmental risk forecasting. These experiences sharpened my ability to not only experiment with algorithms but also translate them into applications that solve real problems. As fullstack engineer in Rowboat I have Co-designed and implemented a modular plugin-execution framework that enabled users to extend AI-agent capabilities through dynamic backend routing and sandboxed plugin runners • Developed and deployed production features end-to-end across Next.js, TypeScript, TailwindCSS (frontend) and Python (FastAPI, PostgreSQL) backend with 2 teammates, improving feature rollout speed by 15 % • Integrated OpenAI’s API and Redis-based task queues for parallel agent execution and caching • Refactored monolithic Python codebase into modular service components, cutting test runtime by 20% and simplifying maintenance • Contributed to CI/CD pipelines (GitHub Actions + Docker) that reduced deployment time…This past summer, I interned at Novigo Solutions, where I built and deployed ML pipelines for telecom bandwidth forecasting (achieving R² > 95%) and automated invoice digitization with YOLOv8 + OCR, significantly reducing manual entry time. In addition, I have led projects through MassAI and the UMass Data Science Club, developing predictive models ranging from real-time sports analytics to environmental risk forecasting. These experiences sharpened my ability to not only experiment with algorithms but also translate them into applications that solve real problems. As fullstack engineer in Rowboat I have Co-designed and implemented a modular plugin-execution framework that enabled users to extend AI-agent capabilities through dynamic backend routing and sandboxed plugin runners • Developed and deployed production features end-to-end across Next.js, TypeScript, TailwindCSS (frontend) and Python (FastAPI, PostgreSQL) backend with 2 teammates, improving feature rollout speed by 15 % • Integrated OpenAI’s API and Redis-based task queues for parallel agent execution and caching • Refactored monolithic Python codebase into modular service components, cutting test runtime by 20% and simplifying maintenance • Contributed to CI/CD pipelines (GitHub Actions + Docker) that reduced deployment timeWWWW…