Aakash Roy
Ai Lead @Tata Steel UK
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WORK HISTORY
Ai Lead @Tata Steel UK
Coventry, GB
At Tata Steel UK, I design and deliver end-to-end AI and ML systems that optimise manufacturing performance, automate complex workflows, and support data-driven decision making across operations, energy, quality, and commercial units. • Designed and deployed enterprise-grade AI, ML, and GenAI systems to support manufacturing, operations, and commercial teams across UK sites.• Built predictive ML models (predictive maintenance, energy optimisation, quality prediction) using Python, PyTorch, scikit-learn, and Spark.• Created automated ML pipelines with feature engineering, model retraining, drift detection, and SHAP-based explainability integrated into production workflows.• Developed anomaly detection systems for operational deviations using statistical ML, time-series forecasting, and real-time signal monitoring.• Engineered cloud-native microservices for AI/ML workloads using FastAPI (async), Docker, Cloud Run, and Azure App Services for scalable deployment.• Implemented MLOps using MLflow, Databricks, CI/CD, model versioning, performance monitoring, and structured evaluation pipelines.• Built RAG-based GenAI assistants for domain experts across engineering, safety, research, and operations using Azure OpenAI, HuggingFace, and vector databases.• Developed document intelligence pipelines for extracting technical knowledge from thousands of research documents using embeddings, OCR, and LLMs.• Designed scalable retrieval pipelines with per-department access to GCS bucket folders, enabling secure, role-filtered knowledge retrieval.• Integrated AI services with existing systems via REST APIs, Microsoft Graph, cloud functions, and event-driven workflows.• Collaborated with data engineers, domain experts, architects, and manufacturing specialists to embed AI into real workflows and measurable KPIs.• Delivered AI solutions that reduced manual effort, improved operational efficiency, and provided actionable insights across the organisation.
EDUCATION
Maharaja Agrasen Institute Of Technology, Delhi
Bachelor of Technology (B.Tech.), Information Technology
University of Nottingham
Master of Science - MS, Data Science
ABOUT AAKASH ROY
AI/ML Leader | Enterprise GenAI Architect | Business-Centric Data Science at ScaleWelcome! I’m Aakash — a results-driven AI leader with 7+ years of experience designing, deploying, and scaling impactful AI and machine learning solutions across manufacturing, finance, and enterprise functions.Currently, I lead end-to-end AI initiatives at Tata Steel UK, where I architect large-scale GenAI and ML systems that drive real business outcomes. From migrating £100M+ procurement models to GCP, to building hallucination-free Digital Assistants using LLMs for HR, Finance, and Commercial teams, my work sits at the intersection of cutting-edge AI and strategic execution. Key Highlights: • GenAI at Scale: Designed and deployed custom, RAG-based digital assistants using Vertex AI, BigQuery, and enterprise-authenticated multi-cloud LLMs (Gemini, Claude, Azure OpenAI). • £100M+ Model Migration: Led the GCP migration of steel purchasing models, streamlining decision-making across critical procurement functions. • Business Impact: Delivered £80M+ in cost savings through optimization tools (OFID/FVC), and £12M+ projected value via ML-based demand forecasting. • Data-Driven Manufacturing: Built predictive maintenance and quality control systems using edge data and computer vision — reducing downtime and improving yield. • Financial & CRM AI: At Accenture, delivered real-time fraud detection (60% leakage reduction), credit risk modeling (50% faster decisions), and CRM segmentation engines that boosted annual revenue by £3.2M. • Cross-Functional Leadership: Known for translating complex business needs into AI strategies. Trusted advisor to executive leadership. • Advocate for Responsible AI: Championing transparent, auditable, and safe GenAI systems in enterprise environments. Why Connect?I love partnering with fellow builders, visionaries, and AI enthusiasts who believe in the power of AI done right — not just flashy, but secure, scalable, and business-aligned. If you’re working in AI, GenAI, or data platforms — or just curious — let’s connect and explore opportunities to collaborate, build, and lead.
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