Founder • Engineer • Product Builder • IoT & AI Systems Architect
More than a decade of experience building real-world systems—from software products and consumer platforms to autonomous IoT infrastructures and AI-powered public-safety solutions. My work designs systems that operate under real constraints: unreliable networks, harsh environments, human unpredictability, and safety-critical conditions.
"If the internet fails, sensors drift, humans forget, or conditions change the system must still behave safely and intelligently."
Building companies from the ground up—across technology, product, operations, and day-to-day decision making.
Prixso Software was a full-stack software engineering company that became the proving ground for building real, production-grade systems. The work ranged from web platforms and mobile applications to early IoT and automation projects, all built under real client constraints such as timelines, budgets, and long-term maintainability.
As the founder, my role extended well beyond engineering. I handled early client discussions, requirement discovery, proposal preparation, pricing conversations, and delivery commitments. On the technical side, I designed system architectures, wrote and reviewed core code, defined engineering standards, and stayed involved through deployment and maintenance. At the same time, I was responsible for balancing timelines, managing trade-offs, and ensuring the company could sustainably deliver reliable systems.
Tifinco was a meal subscription platform built to address the chaos and decision fatigue of on-demand food ordering. Instead of focusing on one-off orders, the platform emphasized planned meals, predictable operations, and long-term customer retention through subscription-based delivery.
As the founder, I was involved across product, operations, and execution. I worked on pricing models, subscription structures, and customer experience, while also spending time understanding kitchen workflows, delivery constraints, and unit economics. On the product side, I designed UX flows, prioritized features, and built systems that supported subscriptions, customization, and retention. Many decisions were shaped by on-ground realities—what could actually work in daily operations, not just what looked good conceptually.
Context-aware systems that understand presence, environment, and act autonomously while respecting human overrides.
A complete home automation system that goes beyond simple timers and switches. This platform uses multi-sensor fusion to understand room occupancy, ambient conditions, and user patterns to make intelligent decisions about lighting, ventilation, and climate control—all while functioning perfectly offline.
Most commercial smart homes are cloud-dependent, unreliable when internet drops, and rely on primitive timer-based automations. They can't distinguish between someone actually being in a room versus a pet wandering through, leading to energy waste and user frustration.
🏗️ System Architecture: Edge Processing → MQTT Mesh Network → Central Hub → Cloud Sync (Optional)
Decision Engine: Lighting/Climate State = f(Presence Confidence, Ambient Light Level, Temperature, Humidity, Time of Day, Manual Override State)
The system uses multi-sensor confirmation with weighted confidence scoring. For example, mmWave detection (70% confidence) + PIR trigger within 5 seconds (20% confidence) + light level below threshold (10% confidence) = Action. Time-decay logic ensures rooms don't stay lit if presence signals stop.
A comprehensive bathroom automation system designed with safety as the top priority. This system manages ventilation, lighting, and environmental monitoring while actively protecting against gas leaks, electrical hazards, and humidity-related issues like mold growth.
Autonomous farming systems with closed-loop climate intelligence and real-time monitoring.
A fully autonomous environmental control system for commercial mushroom cultivation. Mushrooms are extremely sensitive to CO₂ levels, humidity, and temperature—even small deviations can destroy entire batches. This system maintains optimal growing conditions 24/7 with minimal human intervention, dramatically improving yield consistency and reducing contamination risk.
The system uses three cascading PID controllers for humidity, temperature, and CO₂. Each parameter has setpoint scheduling that adjusts based on growth stage (colonization, pinning, fruiting, harvesting). The controllers use historical performance data to auto-tune their gains, learning the specific thermal and humidity response characteristics of each growing room.
An advanced aquaculture monitoring and control system designed for high-density biofloc fish farming. In biofloc systems, water quality can deteriorate rapidly—dissolved oxygen crashes can kill an entire pond in hours. This system continuously monitors critical parameters and takes predictive action before conditions become life-threatening.
The system doesn't just react—it predicts. By analyzing the rate of change of DO levels throughout the day, the system can forecast oxygen depletion 2-3 hours in advance. If DO is dropping at 0.3 mg/L per hour and current level is 4.5 mg/L, the system predicts critical levels in 5 hours and starts preemptive aeration before fish show stress symptoms.
Data-driven precision agriculture and smart resource management systems.
A comprehensive precision agriculture platform that transforms traditional farming into a data-driven science. By continuously monitoring soil conditions, weather patterns, and crop requirements, this system optimizes water and fertilizer usage while maximizing yield potential. Farmers make decisions based on real-time data, not guesswork.
Irrigation Control: Water delivery = f(Current Soil Moisture, Root Zone Deficit, Evapotranspiration Rate, Weather Forecast, Crop Stage)
The system doesn't water on a schedule—it waters when crops need it. By combining real-time soil moisture with calculated water loss (based on temperature, humidity, wind, solar radiation), the system knows exactly how much water the crop has consumed and replaces only what's needed. If rain is predicted within 24 hours, irrigation is delayed automatically.
Fertigation Strategy: Nutrient Application = f(Current NPK Levels, Nutrient Depletion Trend, Crop Growth Stage, Yield Target)
Fertilizer is expensive and over-application pollutes groundwater. The system tracks nutrient depletion rates and applies fertilizer in small, frequent doses matched to crop uptake patterns. Fast-growing stages get more nitrogen, flowering stages get more phosphorus—all automatically adjusted.
An innovative water distribution system serving multiple households with a single shared pump, but with intelligent priority management and transparent energy cost allocation. This system solves the common problem in shared water infrastructure: who pays for what, and how to ensure fair distribution without conflicts.
The system connects 4-8 overhead water tanks to a single borewell pump through electronically controlled valves. Each tank has an ultrasonic level sensor and dedicated valve. The pump has a current sensor connected to each tank's electric meter for precise energy attribution.
This is the breakthrough feature. Each time a specific tank is filled, the system logs: (1) Pump runtime (seconds), (2) Average current drawn (amps), (3) Energy consumed (kWh = Voltage × Current × Time), (4) Timestamp and tank ID.
At month-end, the system generates a transparent report: "Tank A consumed 45 kWh, Tank B consumed 38 kWh, Tank C consumed 52 kWh" with exact timestamps. Electricity bill is divided proportionally. No more arguments about "who used more water"—data doesn't lie.
Utility-grade infrastructure, public safety systems, and remote healthcare solutions.
A next-generation water metering system designed for municipal utilities and large residential complexes. Using NB-IoT (Narrowband IoT) technology, these meters provide real-time consumption data, detect leaks and theft, and enable remote control—all while operating for years on battery power in underground deployment conditions.
NB-IoT is purpose-built for smart utility applications. It provides: (1) Deep indoor/underground penetration (20dB better than LTE), (2) Ultra-low power consumption (10+ year battery life), (3) Low data cost (perfect for small, periodic transmissions), (4) Nationwide coverage through cellular networks, (5) Secure, licensed spectrum communication.
A government-recognized wildlife tracking and early warning system protecting over 200 villages in elephant corridors. Human-elephant conflict kills hundreds annually—this system provides advance warning when wild elephants approach settlements, giving communities time to evacuate safely and protect their crops and homes.
Direction Prediction: System analyzes last 10 GPS points to determine heading and speed. Elephants moving at 3 km/h toward village trigger alerts; elephants at same distance but moving away do not.
Speed Analysis: Slow movement (0.5-1 km/h) = foraging behavior, low threat. Fast movement (4-6 km/h) = traveling, high threat if heading toward settlement. System adjusts alert urgency accordingly.
False Positive Suppression: Elephants often wander near villages without entering. System requires 3 consecutive position updates showing approach trajectory before activating sirens. This prevents alert fatigue while maintaining safety margins.
A telemedicine platform bringing hospital-grade health monitoring to rural and remote areas lacking medical infrastructure. By continuously monitoring vital signs and detecting early warning signs of health deterioration, this system enables preventive intervention before conditions become critical, reducing emergency hospitalizations and improving health outcomes.
The system doesn't just record data—it interprets it. Machine learning models trained on clinical datasets identify patterns indicating health deterioration hours to days before symptoms become severe.
Trend Analysis Examples: Gradual SpO₂ decline over 3 days (96% → 93% → 90%) suggests worsening respiratory condition—alert sent before acute crisis. Increasing resting heart rate + decreasing HRV + rising BP = early signs of cardiovascular stress or infection.
Intelligence at the edge, not dependent on cloud connectivity. Systems make decisions locally with real-time sensor data.
Systems continue operating safely even when internet fails. Local decision engines ensure continuity of operations.
Continuous validation and sanity checking of sensor data. Multi-sensor fusion prevents single points of failure.
Systems designed to scale from single units to large deployments without architectural changes.
Let's build reliable, intelligent systems together.