Designing and leading data-driven systems at the intersection of business strategy, predictive analytics, AI, and healthcare technology.
Executive Brief
Philosophy
I'm V Karthikeyan — a Biomedical Engineer specialised in Data Science from Karunya Institute of Technology and Sciences. I design and lead data-driven systems that merge engineering discipline with executive execution.
I approach every challenge as a system. I define the target decisions first, then architect the predictive algorithms, pipelines, and hardware integration required to support them.
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National Recognition
Won ₹10 Lakhs as the Tech & Analytics Lead. Led the development of an AI-driven prosthetic and rehabilitation ecosystem.
MelascopeDx Accuracy %
AI Dermatology Screening classification precision.
Projects Built
End-to-end analytical & ML systems completed.
Core Domains
Data Science, MedTech, IoT, and Strategic Leadership.
Certifications
Professional validations in advanced analytics and technology.
Methodology
Transforming complex datasets into executive dashboards (Tableau, Power BI, Excel). Surfacing mission-critical KPIs, forecasting performance, and conducting deep exploratory data analysis (EDA) to drive strategic decisions.
Engineering high-performing ML pipelines using TensorFlow, Keras, CNNs, and Vision Transformers. Addressing critical real-world complexities such as data class imbalance, model quantization, and LLM integrations.
Designing and deploying advanced medical image classifiers—such as retinal disease risk-stratification models, skin lesion staging networks, and real-time posture analytics platforms built for clinical deployment.
Bridging clinical signals with analytics. Prototyping advanced assistive bionics, wearable RF health sensors, and secure IoT remote patient-monitoring systems that transform physiological data into insights.
Prototyping low-latency hardware setups using ESP32, multi-sensor arrays, and cloud pipelines. Establishing robust data ingestion flows from hardware nodes straight into analytics platforms.
Experienced in leading multidisciplinary engineering teams (electronics, mechanical, software, clinical). Managing product life cycles, business reports, resource allocation, and team deliverable alignment.
Demonstrated Performance
Achieved 97% classification accuracy in supported clinical scenarios.
A 100% free analytics and clinical diagnostics platform tracking live FDA recalls and predicting patient risks.
Classifies retinal fundus scans into 5 severity stages using deep CNNs and ViT blocks.
Integrated real-time hardware telemetry streams into visual industrial KPIs across 4 factory complexes.
Strategic Operations
Directed technical execution of a virtual rehabilitation SaaS system at Rapha MedTech. Designed algorithms to capture joint orientation via web cameras, allowing clinicians to review real-time recovery analytics and patient telemetry.
Coordinated cross-functional teams (electronics, mechanical, software, clinical specialists) as a founding team member to build a low-cost, smart myoelectric prosthetic limb.
Career Progression
Academic Contribution
Pioneered a wearable, textile-integrated radio-frequency (RF) sensor designed for the non-invasive, continuous assessment of Anterior Cruciate Ligament (ACL) mechanical strain. The system detects minuscule shifts in electromagnetic resonance frequency linked to ligament tension, validated via rigorous Vector Network Analysis (VNA). This bridges soft electronics fabrication with clinical physical therapy, offering a low-cost alternative to post-op patient triage.
Core Capabilities
Business Intelligence & Analytics
Data Systems & Programming
Advanced AI & Machine Learning
Workflow, Hardware & Tooling
Initiate Collaboration
Whether looking to streamline telemetry arrays, run rigorous predictive modeling pipelines, or secure operational tech management — let's align.