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Akash Chohan
Intelligent sensing. Embedded AI. Experimental systems.
I explore the intersection of hardware
and intelligence. Building systems that
sense, process, and decide in real time.
From quantum sensing setups to
edge deployed models, I design
experiments that work in the real world.
Building systems at the edge of sensing and intelligence.
I am an MSc Data Science student at the University of Surrey, with a foundation in engineering and a focus on intelligent sensing systems. My work sits at the intersection of experimental hardware, applied machine learning, and real-time decision systems.
Over the past few years, I have developed experience across a range of technical domains: from designing ODMR-based quantum sensing setups involving RF electronics and optical systems, to building edge-deployed neural networks for resource-constrained environments. I am drawn to problems that require integrating hardware and software tightly—systems where understanding the physics matters as much as the algorithms.
I am currently exploring opportunities in PhD research, industry R&D, and technical studentships that allow me to contribute to experimental systems, applied physics, or embedded intelligence. I value work that is rigorous, collaborative, and grounded in real-world constraints.
Technical interests spanning hardware, algorithms, and systems.
Quantum Sensing & Spectroscopy
ODMR-based magnetometry, NV-center physics, RF and optical system integration, signal acquisition and processing for precision measurement.
Embedded & Edge AI
On-device inference, model compression and quantization, real-time processing on MCUs and edge accelerators, latency-constrained deployment.
Multimodal Sensor Fusion
Combining heterogeneous sensor streams—RF, optical, inertial, thermal—for robust perception in complex environments.
Hardware–Software Co-Design
Designing systems where physical constraints inform algorithmic choices—from sensor interfaces to custom data pipelines.
Signal Processing & Time-Series
DSP fundamentals, spectral analysis, filtering, feature extraction from noisy sensor data, real-time streaming pipelines.
Experimental System Design
Prototyping scientific instruments, lab automation, data acquisition systems, and reproducible experimental workflows.
Selected work across sensing, embedded systems, and data.
ODMR-Based Quantum Magnetometry System
Designed and assembled an optically detected magnetic resonance setup for NV-center magnetometry. Integrated RF generation, optical excitation, and lock-in detection to measure magnetic field variations at microtesla sensitivity. Work included PCB design for signal conditioning and Python-based data acquisition.
Real-Time Edge Inference Engine
Built a low-latency inference pipeline for deploying quantized neural networks on ARM Cortex-M microcontrollers. Optimized memory layout and implemented custom operators to achieve sub-10ms inference on classification tasks. Benchmarked against TensorFlow Lite Micro.
Multimodal Sensor Fusion Platform
Developed a data fusion framework combining IMU, LiDAR, and camera streams for robust state estimation. Implemented extended Kalman filtering and tested on mobile robotics platforms. Focused on handling sensor dropouts and timing misalignment.
Spectral Analysis Toolkit for Lab Data
Created a modular Python library for processing spectroscopy data—FFT analysis, peak detection, baseline correction, and automated report generation. Used in active research for characterizing optical and RF spectra from experimental setups.
Tools and technologies I work with regularly.
Languages & Core
Machine Learning
Embedded & Edge
Signal Processing
Hardware & Lab
Data & Infrastructure
Academic background and qualifications.
Msc Data Science
Data Science
University of Surrey • Guildford, Surrey
Focus on machine learning, statistical inference, and data systems. Dissertation research on embedded AI and sensor data processing.
Bsc Computer Science
Computer Science & Engineering
Guru Nanak Dev University • Amritsar, Punjab
Core coursework in programming, electronics, signal processing, and Software Engineering. Final year project on Optically Detected Magnetic Resonance (ODMR).
Three Year Diploma
Computer Science & Engineering
Mehr Chand Polytechnic College • Jalandhar, Punjab
Foundation in technical skills and practical engineering applications.
Industry and collaboration experience.
Research Collaborator
Surrey AI Imaging Ltd
Contributing to applied research on imaging systems and AI-driven analysis pipelines. Working on data processing workflows and model evaluation for real-world deployments.
Random Self Researcher
Independent
Alongside formal projects, I independently explore topics across photolithography, neurotechnology, biosciences, semiconductor devices, psychology, and socio-technical systems. This work is self-directed and focused on building conceptual understanding rather than publication.
Research Assistant
GNDU Quantum Lab
Designed and built a modular, low-cost ODMR quantum sensing system using Silicon Carbide (SiC). The setup integrates a custom RF synthesizer, temperature-controlled laser excitation, optical fluorescence detection, and software lock-in amplification (via Red Pitaya). Using 808 nm optical excitation and RF spin manipulation, I demonstrated room-temperature ODMR and detected spin resonances around ~70 MHz. The system is modular, scalable, and suitable for research and quantum education.
What I am working towards.
I am actively seeking PhD positions and research roles where I can contribute to experimental systems that bridge sensing hardware and intelligent algorithms. My interests lie in environments where rigorous engineering meets frontier science—whether that is developing next-generation sensor systems, deploying AI at the edge, or building instrumentation for fundamental research.
I am also open to R&D roles in industry that emphasize technical depth: applied data science, scientific software development, and embedded system design. The common thread is work that is hands-on, technically demanding, and has real-world impact.
If you are working on something at this intersection and are looking for a collaborator, I would be glad to hear from you.