I’m a Computer Science graduate from MIT-WPU, Pune (Class of 2025), with strong hands-on experience in backend development, Generative AI, and real-time data-driven systems. My work bridges scalable backend architecture with cutting-edge AI models to solve real-world business challenges. I recently completed a Backend AI internship at Anervea.ai, where I built high-performance APIs and infrastructure for real-time SaaS platforms used by top US pharmaceutical companies. These systems power predictive analytics, market mix modeling, and AI-driven commercialization workflows using FastAPI, MongoDB, Kubernetes, and Redis. Previously, I interned at Capgemini on a Generative AI-based SDLC automation platform. I contributed across the stack—integrating LLMs like GPT-4, LLaMA, and Vertex AI into intelligent workflow engines while building robust backend and frontend modules. I gained deep exposure to containerization, CI/CD (Jenkins), and cloud-first AI tooling. I enjoy working in fast-paced, impact-driven environments and am passionate about building intelligent, production-ready systems that scale. I’m currently open to full-time roles in backend development, AI engineering, or platform engineering.