Bio
Research-driven engineer with production systems depth
My current research focuses on event-based sensing for spacecraft attitude estimation, including centroid correction, event batching, astrometric initialization, adaptive measurement uncertainty, and weighted Wahba attitude estimation.
Before graduate school, I built production-grade Python, C, and C++ software for distributed, reliability-critical defense platforms at Tata Advanced Systems, including backend services, telemetry/health monitoring, data pipelines, and deterministic control workflows.
Across my projects, I care about measurable engineering: latency, reliability, detection accuracy, tracking error, simulation-to-control loops, and the tooling that makes complex systems observable and easier to improve.
Current focus
Event-based space autonomy
Low-SWaP sensing, high-speed star motion, centroid correction, synthetic/real evaluation, and attitude-estimation pipelines.
Engineering signal
Robust, measurable systems
Backend services, C/C++ and Python pipelines, observability, profiling, evaluation design, simulation, and real-time control.
Focus areas
Contact
Let's talk robotics, autonomy, and research.
Open to robotics/autonomy research roles, AI software engineering, space autonomy work, and collaborations around event-based vision, simulation, and real-time perception-to-control systems.