Siri T. — Product Manager

I design and build intelligent software systems that scale at the intersection of full-stack engineering, distributed architectures, and applied AI. With a Master’s in Computer Science from Texas A&M University, my work centers on one principle: technology should not only function, it should adapt, learn, and create measurable impact. I focus on engineering systems that are reliable in production, efficient in performance, and meaningful in real-world application. My experience spans end-to-end product development and research-driven innovation. I’ve engineered sentiment-aware conversational systems using fine-tuned BERT models that evolve through user feedback, contributed to large-scale natural-language device control datasets improving accessibility, and developed scalable platforms that transform fragmented data into actionable intelligence. Beyond research, I build performance-oriented systems from cloud-integrated CRM applications in Palantir Foundry to real-time streaming architectures like CryptoStream powered by Next.js and ConnectRPC. I’ve also designed cost-efficient neural architecture search pipelines, optimizing CNN models at 0.15 GPU-day compute cost, emphasizing both scalability and resource efficiency. I’m particularly drawn to solving problems that require bridging algorithms, human-centered design, and distributed computation whether through AI-driven automation, system orchestration, or multimodal intelligence pipelines. I approach engineering with curiosity, adaptability, and systems thinking always building toward resilient, scalable, and intelligent solutions. 🔗 Portfolio: https://tammineni09.github.io

Stackforce AI infers this person is a Full-Stack Developer with expertise in Cloud Engineering and AI-driven solutions.

Experience: 2 yrs 11 mos