kiran y

1. Currently working in Schneider Electric as Senior AI Engineering Manager– Data Science from July 2022.
2. Johnson & Johnson as Software Engineering Technical Program Manager – Data Science, Principal Data Scientist from March 2020 to June 2022.
3. Philips Innovation Campus from September 2007 to March 2020 as Data Science – Technical Project Manager.
4. From 2003-2007, working as software engineering Pantech solution.
5. From 1998- 2001, worked as Trainee in Hindustan Tele Printers.

Schneider Electric as Senior Software AI Engineering Manager from July 2022. AI Engineering Leader for global delivery across India, France, and USA.

• Leading a high performing global AI Engineering team of 25+ Data scientists, ML engineers, UI, Testing for End-to-End Technical delivery of AI Platforms and deployment in Live Productions to different business.
• Development of NLP, Computer vision and Prediction novel algorithms as platform for internal customers using AWS & Azure for Data Engineering, Algorithms and Deployments for Finance, HR, Ecommerce, IOT and Industrial domain with visualization in Streamlit/DASH/Quick Sight.
• AI Engineering Leader for LLM/ChatGPT/GPT/Chatbot Portfolio Projects using Microsoft Azure Infrastructure (Open API based LLM, Prompt Engineering, LangChain, Natural Language Generation). Daily chats of 2L+ volume is managed by ML algorithms. This result in saving the money in tune of worth 200 Crores+ of AI Hub Schneider Electric.
• Tech stack - AWS Glue Job – Python, Pyspark, SQL, SPARK, SPARK SQL, cloud formation, Azure – Azure Data Factory, MLOPS, Kubernetes, mlflow, data bricks. 
• Architecting and scaling engineering platform to reduce technical debt and improve performance and agility. Driving execution of multiple large cross pillar initiatives collaborating with stakeholders.
• Building end-to-end systems that integrate distributed systems, combinatorial-optimization systems, and Machine-Learning systems. Continuously improving business KPI working with business and product.
• Building and mentoring high-performing talent by mentoring Managers, Engineers, Data Scientists. Defining a long-term talent strategy cutting across technology and business (Functional) roles.
• Engaging with global leadership and setting up strategy and priorities for the team and in delivering best data engineering work around the globe.
•  Adapting and delivering the Agile strategy and creating a collaborative environment across geography for delivering best products to the customers (Intuit tech teams and engineers) around the globe.
• Budget planning, spend and tracking for my AI HUB LOB and promoting and supporting company policies, procedures, mission, values, and standards of ethics and integrity.
• Providing supervision, mentoring and development opportunities for managers reporting into me.

Making data driven decisions, tracking, and showing continuous improvement in engineering-excellence and operational-excellence metrics. Defining and executing training and development plan, career plan, goal settings, regular performance reviews and feedback

• PhD in Computer Science specialized in Image Processing & Machine Learning Predictive Modelling @ Manipal University, India, 2016.
• Master of Engineering – Medical Electronics, specialized in Medical Image Processing @ Anna University, Chennai; 2001-2002, CGPA – 8.2/10.
• Bachelor of Engineering – Electronics & Communication Engineering @ Madras University, Chennai; 1994-1998, Percentage – 76%.
• Certified Safe Agile Scrum Product Owner/ Product Manager, Certified Safe Scrum Master, Certified Agile Project Manager & Agile Certified Practitioner (IAPM). Certified Udacity Nano degrees and Edx certifications on Machine Learning, Deep Learning and Certified DICOM & HL7, Supply Chain Analytics.
• Published thirty journals in International Journals, 1 Patent granted, 2 Patents has been filed and 5 Disclosure is in submitted state. International Reviewer of Springer Journal for AI, ML, DL for Biomedical Springer Journal. Presented various research papers in various seminars/ conferences/Workshops.