Driving AI, Business Intelligence, and Automation from blueprint to real-world implementation impact.

• 🔬 Doctoral Researcher — AI-Driven Maintenance Optimization for Solar Minigrids @ Birmingham City University (Feb 2026 – Feb 2029)
• 🎯 Business Intelligence Manager @ ECAM Engineering Limited, Cheadle, Staffordshire, UK (Aug 2025 – Present)
• 🎯 Former Business Systems & Technology Analyst (KTP Associate) @ Birmingham City University & ECAM Engineering Limited (Jul 2023 – Jul 2025)
• 🎯 Former Graduate Project Engineer (Automation, AI, Data) @ DigitME2, UCLan, Burnley, UK (Feb 2022 – Jun 2023)
• 🌍 Birmingham, UK | 🛰️ Prev: Preston, Stoke-on-Trent, Egypt (Erasmus+), India (Amazon) | Born: Andhra Pradesh, India
• 🔁 Smart planetary rover builder, automation tester, manufacturing digitalizer, open-source & AI innovator

Also experienced with: Matlab, NI LabVIEW, Ansys, OpenERP, Ubuntu/Windows, Nginx, Gunicorn, Bootstrap, PlantUML, VS Code | Industry 5.0, Cyber-Physical Systems, Digital Twins, IoT, Robotics, Process Automation, Data Transformation, Software Testing (Pytest, Unittest)

• Researching AI-Driven Maintenance Optimization for Solar Minigrids under the SMART-SIP+ / UKRI EPSRC Ayrton Challenge Programme.
• Focus areas: Predictive Maintenance (PdM), Digital Twins, Artificial Intelligence (AI), Internet of Things (IoT), Business Modelling, Inclusivity, and Component's Remianing Useful Life (RUL) prediction using AI for off-grid Solar Minigrid/Microgrid.

• Driving data optimisation from shop floor operations to strategic planning for smarter, faster business decisions.
• Data Management & KPI Reporting: Collecting and maintaining production data; tracking capacity and OEE; updating KPIs for operational improvement.
• Data Analysis & Visualisation: Analysing trends, risks, and opportunities; creating dashboards and reports to inform decision-making.
• System & Software Development: Enhancing internal systems for better data capture and reporting; identifying and implementing new tools.
• Market Research & Strategic Insight: Monitoring industry trends and competitor activity; advising leadership on growth opportunities.
• AI Integration: Researching and developing AI strategies to boost efficiency and reduce costs.

• Spearheaded a digitalisation project enhancing visibility and traceability across the manufacturing production process.
• Developed and implemented digital marketing strategies to drive business growth.
• Embedded academic knowledge from Birmingham City University into ECAM's operations.
• Facilitated knowledge transfer between BCU and ECAM, bridging academia and industry for mutual growth.

• Designed and developed features for the DigitME2 web application (PHP, MySQL) and Android application (Java).
• Automated testing processes with Python unit tests and Selenium.
• Performed data analysis and contributed to building ML models for time series prediction.

• Baxi Heating — Assembly Operator (Nov 2021 – Feb 2022) — Final assembly and pressure-holding tests for boilers.
• Arab Academy for Science, Technology & Maritime Transport — Research Intern, Autonomous Vehicles (Erasmus+ Placement) (Jun 2021 – Sep 2021) — Deep Q-Learning, MATLAB, Python, Arduino, Raspberry Pi.
• Amazon Logistics Group — Sortation Associate (Sep 2020 – Jan 2021) — Parcel sorting and dispatch operations.
• Royal Sanders (UK) Limited — Production & Warehouse Operator (May 2020 – Sep 2020) — Production line operations during Master's course.
• Amazon Development Center India — Customer Service Associate (Aug 2018 – Aug 2019) — Customer support for amazon.co.uk and amazon.com.

• FlaskDatamile MRP Application — Full-stack MRP system for ECAM (Python/Flask, MySQL, Bootstrap, Docker, Nginx/Gunicorn on Ubuntu).
  • BOM editing with supervisor approval workflow
  • HSE uploader integration, MySQL schema migrations
  • Deployed on Ubuntu with CI/CD via GitHub Actions
• Process Time Tracker — timelogger
  • Backend automation, UI/UX testing (Python, Selenium)
  • Live client deployment, analytics, version controls (v2.11–v2.15)
• Work Tracking Android App — repo
  • Full-cycle versioning, automation for ML data simulation
• AI Innovations:
  • Built and tested Autonomous Car with Deep Q-Learning (Erasmus+, Egypt)
  • Smart Planetary Rover: Mechatronics, AI, Robotic Rail Alignment (MSc Thesis)
  • Co-created Piezoelectric Energy Harvester: Interdisciplinary team project
• Dashcam AI Application — Streamlit-based AI application for video analysis.
• KTP Presentation Web App — Flask web app with Gemini API integration for investor-facing presentations.
• Personal Portfolio — aditya469.github.io/MyProfile

I thrive at the intersection of AI, data, automation, and engineering. Always learning, always sharing—let's innovate together!

⭐️ Collaborate. Automate. Impact. Let's build the future of intelligent processes! ⭐️