AI R&D Lab: Prototyping the Future

Exploring the frontiers of artificial intelligence through research, experimentation, and innovative applications.

Multi-Modal Agentic Intelligence Synthesis

Advanced R&D exploring the fusion of multi-modal perception and agentic reasoning for comprehensive market intelligence. This prototype orchestrates specialized agents (using frameworks like LangGraph) to analyze and synthesize insights from diverse, unstructured data streams: processing text (news, financial reports via RAG/LLMs), audio (earnings call sentiment/key topics via Whisper/LLMs), and vision (product/logo detection in social media images, satellite data analysis via Vision APIs). Aims: Generate nuanced, real-time strategic insights unattainable through siloed analysis.
Agentic AIMulti-Modal AILLMs (Gemini/GPT-4V)RAGSpeech-to-TextComputer VisionAPI IntegrationLangGraphInformation SynthesisPythonConcept

Privacy-Enhanced Synthetic Data Generation

Investigating state-of-the-art generative models (exploring Diffusion Models & VAEs for complex tabular/sequential data) integrated with formal differential privacy guarantees (e.g., using Opacus/Google DP). The goal is to create high-fidelity, statistically representative synthetic datasets from sensitive sources, enabling robust downstream analytics and ML model training in regulated sectors (finance, healthcare) while mathematically protecting individual privacy.
Focus: Utility-privacy trade-offs and validation metrics.
Synthetic Data GenerationGenerative Models (Diffusion/VAE)Differential PrivacyData PrivacyStatistical ValidationPythonPyTorch (Opacus)MLConceptResponsible AI

HeatWise (Home Energy Optimiser)

A functional 'micro-control-tower' for smart homes, proving the `Sense -> Predict -> Optimise -> Supervise` pattern. Ingests smart meter data, forecasts energy demand (Prophet/XGBoost), optimizes Nest schedules via linear programming (~18% projected bill savings), and executes via IoT APIs. Fully containerized with MLflow/CI/CD, it prototypes the core logic for scalable enterprise energy management and industrial control-tower twins.
Future exploration: Integrating dynamic tariffs and grid signals.
ML ForecastingOptimizationIoT (Nest API)PythonFastAPIMLflowDockerCI/CDResponsible AIDigital Twin (Micro)

Advanced Ticket Triage System

Explored the AI spectrum for support ticket triage, comparing traditional ML (SVM/NB) reliability against zero-shot LLMs, fine-tuned transformers (DistilBERT), and contextual RAG (FAISS/Flan-T5). This journey identifies the optimal AI approach based on need – from dependable ML today to sophisticated GenAI tomorrow – aiming to enhance CX and agent productivity.
Next steps: Deploying the optimal model with continuous monitoring.
Traditional MLNLPSentiment AnalysisZero-Shot LLMFine-Tuning (DistilBERT)RAGSentenceTransformersFAISSStreamlitPythonComparative Analysis

Personalised Environment Awareness Assistant

An accessibility-focused project classifying critical environmental sounds (alarms, sirens) using audio transfer learning (YAMNet, F1≈0.9). Integrates GenAI (Gemini) for contextual alerts via a Gradio demo. Actively developing the iOS app and Core ML conversion for efficient, private on-device inference.
Future work: Personalizing sound recognition and enhancing robustness in noise.
Audio MLTransfer Learning (YAMNet)TensorFlow/KerasGenAI (Gemini)PythonGradioiOS App DevCore MLAccessibility Tech

PromoPulse POC (Retail Insights Bot)

Fusing classical ML (XGBoost for price elasticity on M5 data) and GenAI (LLM-drafted promo briefs) for retail optimization. This end-to-end POC includes responsible AI guard-rails (price floors) via a FastAPI/Streamlit workflow, demonstrating rapid generation of data-driven commercial insights.
Extensions: Incorporating competitor data and multi-product campaign optimization.
ML (XGBoost)Price ElasticityGenAI (LLM Prompting)PythonFastAPIStreamlitMLflowResponsible AIRetail Analytics

DroneApp – GenAI Flight Companion & Safety Coach

Enhancing drone safety and pilot development, this PWA integrates DJI SDK data (exploring Betaflight & other sources) for real-time flight risk scoring, predictive maintenance insights (XGBoost), and mission replay heatmaps. Features a conversational 'Safety Coach' powered by Gemini API to explain anomalies and regulations, demonstrating a fusion of predictive analytics, IoT data visualization, and GenAI for advanced operator support.
Aim: Create an indispensable tool fusing predictive analytics, IoT visualization, and GenAI support.
PWAPredictive ML (XGBoost)IoT (DJI SDK, Betaflight)GenAI Coach (Gemini API)Risk ScoringData VisualizationVue.js 3TypeScriptIndexedDB

Data-Alchemist LLM (Concept)

Prototyping an LLM agent (fine-tuned Llama 3) to tackle the critical data preparation bottleneck. Aims to profile data, generate reproducible cleaning code (Python/PySpark), suggest features, and synthesize edge-case data (GANs), governed via YAML recipes, Dagster, and Great Expectations.
Ambition: Create a robust accelerator drastically reducing data prep time in complex analytics engagements.
GenAILlama 3 Fine-TuningCode GenerationData Profiling/CleaningSynthetic DataPythonMLOpsDagsterGreat ExpectationsConcept

Autonomous Control-Tower Twin (Concept)

Strategic R&D concept for an agentic platform simulating and self-optimizing enterprise value chains – 'Waze + autopilot for a factory.' Explores orchestrating ML forecasts, real-time GenAI insights (Llama 3 RAG), and RL optimizers (PPO) via Ray Serve for proactive, closed-loop decision-making.
Goal: Validate core components for future pilot deployments in complex operational environments.
Agentic AIML ForecastingGenAILlama 3RAGReinforcement LearningSimulationRay ServePythonConceptDigital Twin

LinkedIn Content Co-Pilot (Agentic Workflow R&D)

Investigating optimal agentic architectures by building and comparing multi-agent systems (Google ADK/A2A, CrewAI, Langchain) for complex creative workflows like LinkedIn content generation. Deep exploration into agent orchestration, collaboration patterns, and framework trade-offs.
Focus: Benchmarking scalability and reliability for collaborative AI tasks.
Agentic AIMulti-Agent Systems (MAS)Google ADKCrewAILangchainGenAILLM OrchestrationPythonStreamlitFramework Comparison

InsightGenius (AI Briefing Generator)

Developed a scalable full-stack application (React/Node.js/PostgreSQL) providing AI-generated, structured briefings using multiple LLM APIs (Gemini, OpenAI, OpenRouter). Features customizable parameters (depth, focus, timeframe) for enterprise use cases like contact centre knowledge augmentation.
Roadmap: Internal document integration and team features.
GenAI (Multi-LLM API)Full-Stack DevReactNode.jsTypeScriptSQLPostgreSQLDrizzle ORMREST APIScalable Architecture

MealMind (Dietary Meal Planner MVP)

Rapidly prototyped utility demonstrating constraint-based planning and automation. Generates personalized (gluten/lactose-free) meal plans respecting budget, compiles shopping lists, and exports to calendars (.ics) via Streamlit. Showcases quick development of practical, user-centric tools.
Constraint ManagementPlanning/AutomationPythonStreamlitData HandlingAPI/Library Integration

Core Strengths

Combining technical expertise with strategic vision to deliver transformative AI solutions.

Interactive Skills

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AI Strategy

ML Implementation

Innovation

Data Analytics

Problem Solving

Rapid Prototyping

Strategic Vision

I translate complex technical capabilities into business value, helping organizations understand how AI can drive growth, efficiency, and innovation.

Technical Excellence

With deep expertise in machine learning, natural language processing, and data science, I build robust, scalable AI solutions that deliver measurable results.

Practical Innovation

I balance cutting-edge approaches with pragmatic implementation, ensuring solutions are not just innovative but also reliable, maintainable, and aligned with business goals.

AI Expertise Network

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Expertise Categories

Core AI

Strategic AI implementation and GenAI expertise

Technical Skills

Hands-on development and implementation capabilities

Industry Domains

Specialized knowledge across key business sectors

Methodologies

Frameworks and approaches for successful AI delivery

Network Insights

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Key Benefits:

  • Holistic approach combining technical depth with strategic vision
  • Cross-domain expertise enabling innovative solutions
  • Practical implementation experience across multiple industries

Thought Leadership & Exploration

Sharing insights and perspectives on the practical application and future trajectory of AI.

Published
White Paper

The Personal AI Frontier: Decentralized Intelligence for Individual Empowerment

Introducing four original frameworks that outline a pathway from service-based AI to sovereignty-centered AI, balancing deep personalization with privacy through on-device computation and user-defined data policies.

DOI: 10.5281/zenodo.15343601

White Paper

The Code of Tomorrow: How AI Will Reinvent Software Development

Exploring how AI is transforming software development from manual code composition to intent-based programming, recasting developers as strategic 'AI orchestrators' while addressing security, ethics, and governance considerations.

Coming SoonComing Soon
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LinkedIn Articles & Insights

Regular articles exploring emerging AI trends, practical implementation strategies, and thought-provoking perspectives on the evolving technological landscape.

OngoingRead More

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Jason Lovell © 2025 • AI Strategist & Builder

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