Context Transforms Data Into Decisions
Why the right AC temperature is never a fixed number - it depends on where you are, what's happening outside, and what your walls are soaking up
Tech entrepreneur and engineer building real-world infrastructure technologies that make complex systems observable, reliable, and useful.
Focused on depth, durability, and systems that actually run.
I am building systems that operate in imperfect environments where hardware constraints, operational realities, and long-term reliability matter more than demos or surface features.
Real-time electrical monitoring with voltage, current, and power tracking. Built for autonomous edge operation.
AI Assistant available
Solar position tracking with climate intelligence. Real-time weather data across 77 Indian cities.
Toggle relay-controlled appliances and monitor real-time energy consumption via AWS IoT Core device shadows.
Distance tracking and fuel reimbursement for field runners. GPS route visualization with activity recognition.
Real-time data from energy monitors, lux sensors, and environment sensors streamed via MQTT over WebSocket.
I focus on systems that continue working after deployment — through noise, variability, partial failure, and human error. My approach emphasises observability, graceful degradation, and operational simplicity over feature breadth.
Why the right AC temperature is never a fixed number - it depends on where you are, what's happening outside, and what your walls are soaking up
Why electrical and thermal behavior reveals more than energy consumption alone
Why most infrastructure tech fails after pilots
The next decade of technology will be defined less by novelty and more by foundations. I'm building toward systems that reduce uncertainty, support better decisions, and quietly enable scale without demanding constant attention.
My focus is on infrastructure that matters: energy systems, environmental monitoring, and industrial operations where reliability isn't optional. These domains reward depth over breadth, operational resilience over feature velocity, and truth over narrative.
I'm interested in problems where sensor data meets predictive intelligence, where edge computing meets cloud infrastructure, and where real-time signals become actionable insights. The work I'm doing now on appliance intelligence is one expression of this. There will be others.
I'm open to conversations with builders, operators, and investors interested in infrastructure, energy, and applied technology. If you care about solving hard problems that live outside slides and prototypes, I'd like to hear from you.
I'm particularly interested in talking with people who:
Feel free to reach out if that resonates.