Hi, I'm Junaid Akhter.
Building Next-Generation Deeptech Ecosystems in Europe
Entrepreneur & Polymath based in Germany. Bridging complex technology, first-principles strategy, and venture creation.
Co-Founded Ventures
Chinar Quantum AI (CQAI)
Co-FounderPioneering advanced AI solutions and quantum-inspired technologies to solve complex computational challenges.
VesselX
Co-FounderDriving deeptech innovation and building specialized solutions for next-generation systems.
Building ventures at the frontier of deep technology.
From post-quantum cryptography to autonomous maritime systems — I lead initiatives that redefine what's possible, and advise institutions ready to do the same.
I hold affiliations with leading academic institutions, research centers, and high-performance computing facilities advancing Quantum AI.
Ecosystem & European Network
Active in the European deeptech ecosystem, collaborating with leading German hubs, incubators, and innovation networks.
Garage33
AffiliationWorking within the startup ecosystem to foster entrepreneurship, venture building, and innovation culture.
Cube5
AffiliationSupporting deeptech and cybersecurity venture creation in the heart of Germany's research hub.
Driven by Builder Mindset & Systems Thinking
Deeptech demands more than pure code or technical knowledge; it requires an understanding of how complex systems interact. As an entrepreneur based in Germany, I focus on transforming ambitious technical concepts into scalable, market-driven realities across the European landscape.
First-Principles Thinking
Deconstructing complex technical and business problems to their fundamental truths to build clean, effective solutions.
Systems Thinking & Strategy
Mapping the connections between technology, market dynamics, and ecosystem growth.
Design Thinking & Market Analysis
Grounding cutting-edge deeptech in real human needs and validated market opportunities.
Consulting Services
Bespoke engagements for governments, enterprises, and research institutions navigating technology transitions with no clear roadmap. No retainer packages, no generic decks.
Academic
Research Experience
I have been part of multiple academic projects applying computational skills in Python, Julia, and R across advanced research problems at the frontier of physics and quantum computing.
See all workAstrophysics
Computational modeling of stellar phenomena and large-scale cosmic structure, processing astronomical datasets to extract physical insights.
Tensor Networks
Developing tensor network algorithms for efficient representation and contraction of high-dimensional quantum states and operators.
Physics-Informed ML
Embedding physical laws and symmetry constraints directly into neural architectures for physically consistent and data-efficient predictions.
Multi-Objective Optimization
Designing algorithms that navigate trade-offs across competing objectives in complex, high-dimensional quantum and classical parameter spaces.
Quantum Reservoir Computing
Exploiting natural quantum dynamics as high-dimensional reservoirs for temporal sequence learning and nonlinear signal processing.
Quantum Machine Learning
Constructing hybrid quantum-classical models that leverage quantum feature spaces and entanglement for enhanced learning capabilities.