kiran y

• Result-oriented AI Product Engineering Leader with technical expertise and strategic direction for AI products by incorporating innovative technologies and delivering End to End well-engineered practiced scalable AI applications. Productionizing of complex AI and Data science solutions in AWS and AZURE. cloud environments. 
• Technical Expertise in Machine Learning, Deep Learning, GEN AI in the field of computer vision, NLP, Time Series Forecasting, Digital Twin (Simulations). Expertise in Modeling and Simulation along with predictive analysis for Healthcare, Speech, NLP, Text, Image analysis,Remote sensing, Biotech and IOT domain.
• Played Solution Architect, Data Architect, Product Manager and Program Manager role to meet end customers for requirements as well along with Technical Manager for complete End to End Product development. Design, establishand implement alltheanalytic activities with a goal to improve customerexperience.
• 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. 
• Technical and Managerial leadership, all stages of a project life cycle, collaborator, and as well independent contributor. Provide thought leadership on solving complex wicked problems through state-of-the-art analytics techniques and providing innovative data-based solutions and extend the reach of the solution. 
• Own E2E life cycle development and operations of highly scalable platforms/components. 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. 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. • Developing opportunities, performance appraisal and promotions.

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.