Hi, I’m Nive! 
I’m a Software Engineer with a Master’s in Computational Data Science from Carnegie Mellon University. I specialize in building scalable ML systems at the intersection of Real-time Data Infrastructure, Intelligent Agents, and High-performance Computing Backend Platforms.
My experience spans end-to-end ML workflows, edge inference optimization, and LLM-based agents with structured reasoning. I’ve contributed to distributed systems, observability pipelines, and database-driven ETL platforms using technologies like Kafka, Kubernetes, PyTorch, TensorFlow Lite, PostgreSQL, AWS, and GCP.
At Citi and Fidelity, I modernized infrastructure, boosted backend throughput, and automated secure, large-scale ETL pipelines powering critical analytics. I’m currently seeking roles in Software Engineering, ML Platforms, or Data Infrastructure, where I can build reliable and efficient systems at scale. Latest Resume
🚀 Actively Seeking Roles
- Target Roles: Software Engineer,Machine Learning Engineer,Data Engineer,Data Scientist,Applied Scientist
- Core Focus Areas:
Real-Time ETL & Observability,Distributed ML Systems,High-Performance Computing,Backend Infrastructure,LLM Agents & Tooling,On-Device AI (Wearables),Cloud-Native Pipelines (AWS, GCP, Kubernetes)
✨ Highlights
- 15 May 2025: My summer research was ACCEPTED at the Findings of the Association for Computational Linguistics 2025.
- 11 May 2025: Graduated from the School of Computer Science, Carnegie Mellon University, completing my Master’s in Computational Data Science with dual concentrations in Analytics and Human-AI Interaction.
- 13 April 2025: Winner of the AI Agents Weekend 2025 hackathon sponsored by Google & DeepMind for the Most Effective Project.
- 13 March 2025: Filed Indian Patent for BrailleVoice (UG Capstone Project), an accessible voice-assisted Braille reader for the visually impaired.