Technology Entrepreneur · Software Engineer · Educator
I work across software, AI, education, robotics, and product development—connecting engineering depth with product thinking, teaching, and entrepreneurship.
Positioning
The work moves across layers: understanding a problem, shaping the product, engineering the system, teaching what matters, launching, and learning from the next iteration.
Founder & CEO — Consica Labs Pvt. Ltd.
Software Engineer · Technology Educator · Product Builder
Selected work
The portfolio is organized around problems, decisions, engineering, and product thinking—not screenshots alone.
A technology company building software and educational systems.
Consica Labs Pvt. Ltd. is Bikram Adhikari’s technology company, focused on software, AI, EdTech, SaaS, school systems, LMS products, robotics, innovation labs, mobile applications, and web applications.
View case studySkill-to-Opportunity Network.
A product concept centered on a progression from learning to building, proving capability, connecting with others, and discovering opportunities.
A virtual driving-world and map-engine experiment.
An engineering experiment and product system exploring virtual driving environments, map engines, road generation, vehicle movement, and simulation concepts.
View case studyA Flutter-based control interface for ESP-powered physical vehicles.
A mobile remote-control application for physical ESP-powered vehicles, combining connectivity, steering, telemetry, and driving-oriented interface concepts.
A virtual robotics studio and simulation environment.
An educational and technical environment for exploring robotics through simulation, virtual experimentation, and system thinking.
View case studyCompany
Consica Labs is my technology company. It is the organizational home for software products and educational systems, while this site remains my personal professional identity.
Explore Consica LabsCapabilities
Capability is grouped by the kind of problem it helps solve—not by percentage bars or a logo wall.
Designing and building maintainable software systems across product surfaces.
Applying AI as a product capability and learning layer rather than as decoration.
Turning problems into coherent product systems, decisions, and user experiences.
Connecting teaching, technology, curriculum-aware tools, and learning environments.
Exploring embedded systems, robotics simulation, and hardware/software interaction.
Leading technology initiatives across product, startup, coordination, and company-building contexts.
Teaching technology
Computer Science education, coding, AI, school technology, student projects, robotics, and innovation labs are part of the same loop: teach, observe, understand, build, and improve.
Teaching & educationRobotics & maker work
Robotics education, virtual robotics, ESP32 systems, RC vehicle controls, simulation, and hardware/software integration create a practical bridge between code and the physical world.
Explore the RC vehicle remotePrinciples
A practical set of working principles for turning technical ideas into useful systems.
01
Start with context, constraints, and the people affected before choosing technology.
02
Design decisions should fit a product model that can evolve rather than solve only one screen or moment.
03
Technical sophistication matters when it improves understanding, capability, reliability, or experience.
04
Hands-on experimentation turns abstract knowledge into working mental models.
05
Explaining a system exposes weak assumptions and makes complex ideas more usable.
06
Products improve through observation, testing, reflection, and repeated engineering decisions.
07
Complexity may exist underneath, but the interface should reveal only what helps the user move forward.
Work together
For product, software, education technology, AI, robotics, or company-building conversations.
