Building high-performance websites for companies & driving futuristic product development. Managing HEPTHEX agency to deliver enterprise-grade digital systems.
I am Deepan P (known professionally as Brian Hexer), an Electronics & Communication Engineering graduate from Karpagam Academy of Higher Education. I specialize in the convergence of physical hardware and digital intelligence—bridging VLSI Design, autonomous robotics, AI, and full-stack product management.
A multi-fusion AI platform engineered with CNN, Error Level Analysis (ELA), and Generative Adversarial Networks (GANs) for complex, high-accuracy full-video deepfake detection. Resolves pixel inconsistency with state-of-the-art weights.
An AI-powered offline character recognition engine built with deep neural networks. Utilizes customized CNN model weights to identify, parse, and translate handwritten text prints into editable digital assets with absolute precision.
An autonomous surveillance drone integrated with real-time deep learning computer vision algorithms. Achieves seamless real-time threat detection, security alerts, and live video telemetry feeds for automated security parameters.
Hardware descriptions, verification architectures, and circuit validations.
Computer vision modeling, neural networking, and telemetry heuristics.
Client-oriented digital solutions, cloud storage, API orchestration.
Sensors integration, feedback control, autonomous path plotting.
Conducted interdisciplinary quantum & physics research in collaboration with Professor Jen-Yeu Chen from the Department of Electrical Engineering. Pioneered investigations into artificial intelligence, neural networks, wireless systems, and quantum computer frameworks over a 6-month international research program.
Managed robotic platform operations and diagnosed electrical/software failures. Programmed controller routines to streamline industrial automation setups, enhancing hardware performance limits and deploying technical resolution pipelines.
Pioneered algorithmic path finding, autonomous movement controls, sensor matrix translations, and operational safety paradigms in compact robotics networks.
Conceptualized and prototyped IoT microcircuit devices. Programmed sensors (ESP32 / Arduino), designed custom hardware layouts, and automated cloud sync operations.
Provide strategic guidance to the incoming board, advise on project planning, and manage the club's digital infrastructure and communication platforms.
Spearheaded community development projects and fostered leadership among youth.
Oversaw budgeting, fundraising, and transparent financial operations for key club initiatives.
Actively contributed to building a more inclusive, balanced, and student-friendly academic environment.
Research focusing on enhancing sustainable farming using low-power IoT networks, integrated sensor networks, and automated feedback telemetry.
Documentation on implementing light deep learning classifiers directly on drone edge boards to allow latency-free anomaly reporting.
Concept paper detailing automatic drain blockage warnings using water-level heuristics and GSM transceivers in urban spaces.
Maven Silicon • Hardware Architecture, Chip simulation, SystemVerilog
Maven Silicon • Chip verification protocols, UVM structures, SystemVerilog
TESSOLVE Certification • Specialized hardware simulation & timing audits
C2 Proficient • Scoring 71/100 on standardized matrices
Level: Novice 1 • Awarded during academic tenure in Taiwan
guest@brianhexer:~$ ./initialize_handshake.sh
PORT 8080: WAITING FOR INCOMING DATA STREAM...
PLEASE FILL FORM FIELDS ON THE RIGHT TO EMIT.