Feb 2024 – Aug 2025 · 1 yr 6 mos · Chennai, Tamil Nadu, India · Remote

• As the Chief Technology Officer at StethUp, my mission is to orchestrate the seamless integration of cutting-edge Generative AI (GenAI) with robust traditional AI frameworks to revolutionize the way healthcare professionals connect and collaborate in India and beyond. StethUp is set to introduce pioneering features, many of which are firsts in the Indian healthcare landscape. Our platform is not just an enabler but a catalyst for healthcare professionals, offering them an unprecedented suite of tools and insights. By empowering these professionals with advanced analytics, predictive diagnostics, and collaborative capabilities, we are fostering an ecosystem that elevates the standard of care. The ripple effect of this empowerment is the delivery of superior treatment options and outcomes for patients. StethUp is committed to driving innovation in healthcare by putting the needs of professionals at the forefront, ensuring that the benefits are passed on to the patients in the form of enhanced care and treatment efficacy.

Jun 2019 – Nov 2022 · 3 yrs 5 mos · Kuala Lumpur, Malaysia

• Committee Member (AI & Big Data) of the Advisory Committee Panel, for the AI Practice Management System, specially designed for accounting practitioners.

Mar 2019 – Present · 7 yrs 1 mo · India · Hybrid

• As a faculty member at the Indian School of Business, I specialize in guiding AMPBA students through industry-relevant projects in Artificial Intelligence and Data Science. This involves constructing robust data and machine learning pipelines, integrating cutting-edge practices from MLOps, LLMOps, and Generative AI to ensure efficient development, deployment, and maintenance of AI models. By integrating real-world projects into our curriculum, I not only elucidate the complexities of end-to-end implementation but also immerse students in the current and emerging technological trends.
• I address the challenges at each phase of a project lifecycle, from data acquisition and preprocessing to model training and evaluation, introducing strategies to navigate these challenges effectively. Practical demonstrations on model deployment are enriched with insights into MLOps principles, ensuring students understand the significance of automation and monitoring in maintaining the health and performance of AI systems.
• Furthermore, discussions extend to LLMOps, highlighting the nuances of managing and deploying large language models, which are pivotal in the era of Generative AI. This exposure prepares students to leverage these models responsibly, fostering innovation while adhering to ethical AI practices.
• Bringing real-world projects into class discussions, I offer students a unique value proposition: the chance to bridge theoretical knowledge with practical, hands-on experience. This approach not only enhances learning outcomes but also equips students with the skills and insights needed to excel in the fast-paced AI and Data Science fields, making them valuable assets to any organization from day one.

Apr 2018 – Nov 2022 · 4 yrs 7 mos

• Providing adroit guidance on building Cancer prediction model. Helping team understand on solving 3 key modules including Speech to Text conversion, NLP for building Chatbot, Processing Radiology images and Pathology images, thereafter consolidating the report and sharing the details with Oncologist. Ensuring that we reach to the right audience and be the face of the firm during client discussions and representing in various forums for obtaining grants and rewards are a few of the prime responsibilities.

Jan 2018 – Nov 2022 · 4 yrs 10 mos

• Guiding the team in coming up with the Proof of Concepts and providing necessary expert advise in serving customers of Athena. Providing advise and direction on usage of right databases, datasets, technologies, techniques, algorithms to ensure that the customers business problems are addressed in the most efficient manner. Providing guidance in building products, which will serve the niche segments of varied industries.

Sep 2015 – Present · 10 yrs 7 mos · India · On-site

• Leading Industry 4.0 digital transformation through Generative AI and Agentic AI implementations for Fortune 500 companies globally.
• Architected multi-agent AI systems and autonomous workflows using LLMs and advanced prompt engineering
• Delivered 40+ AI/analytics engagements across diverse industries with measurable business impact
• Implemented MLOps and RAG solutions for seamless GenAI model integration and enterprise knowledge management
• Deployed cloud-native AI solutions on AWS, Azure, and GCP with focus on model compression and explainability
• Provided strategic consulting on Data Science, Machine Learning, Big Data, and AI governance frameworks
• Specialized in conversational AI, document processing, and predictive analytics enhanced with generative insights
• Key Focus: Transforming complex AI capabilities into practical business applications that drive revenue growth and operational efficiency.

Sep 2015 – Present · 10 yrs 7 mos · Hyderabad Area, India

• As a CEO & MD, ensuring that all the departments of the firm are operating in line with the KPIs and expanding into various countries in a strategic manner is one of the key responsibilities. Launched operations in USA, Malaysia, South Africa, etc. Understanding the landscape of the various regions such as Middle East, Far East, ASEAN, etc., by performing secondary research via access to tools such as EIU, Factiva, Gartner, etc. Understanding the needs of up skilling the human resources in different countries and launching training products specific to those needs is critical to my role. Understand the government initiatives and ensuring that the programs are designed to concur with those initiatives is almost a routine activity. Launching industry specific products for trainings to suit the specific industries such as Fraud Analytics, Retail Analytics etc.

Jul 2012 – Aug 2015 · 3 yrs 1 mo

• Responsible for the quality of the Information Management vertical of Deloitte Consulting. Build a lot of prediction models in the space of Clinical Trails, LSHC. Supported CMMI implementation by performing audits and driving Process Prediction Models using tools such as R, Minitab, SigmaXL, Oracle Crystal Ball, etc., for Quality and Risk Management Department. Used SAS EG, EM for performing analysis on unstructured data pertaining to Life Science Health Care. Was pivotal in guiding teams in Advanced Analytics implement sound algorithms to solve the business problems.

Nov 2010 – Jun 2012 · 1 yr 7 mos

•  Supported 30+ projects in the quality related aspects like project planning, reviewing the monitoring and tracking the key metrics, suggesting process improvements
•  Helped the delivery team to increase the productivity by implementing Lean, Six Sigma
•  Reviewed the projects to identify gaps and helping the team to close the gaps so that high process maturity is maintained (CMMI L5)
•  Established correlation between different metrics like effort, productivity, project margin
•  Mentored, trained and helped the teams to use scientific estimation techniques like IFPUG Function Point estimation and NESMA
•  Helped the team to articulate the underlying business benefit to the client as a result of value adds in the project
•  Served as change agent by ensuring that the processes and models are implemented and used appropriately
•  Analyzed the feedback collected and devising action plan to increase the client satisfaction
•  Conducted trainings on PMP, Agile, Six Sigma, CMMI, Lean, ITIL, ISO 20K and various quality related topics
•  Conducted training to help the team understand the rationale behind the new changes and usage of existing process
•  Ensured that projects are raised to appropriate risk level based on the reviews and also help the team get out of the risk zone
•  Communicating status of key parameters to relevant stakeholders on Monthly and Quarterly basis
•  Worked on coming out with Product Quality Metrics for new technologies
•  Worked on a model to articulate business benefit in Financial Services and Insurance business unit
•  Helped teams to tailor and implement ITIL processes
•  Involved in PPQA FAR interview for CMMI V1.3 external audit

Aug 2007 – Sep 2010 · 3 yrs 1 mo

•  Handling wide gamut of tasks involved in project operations - ISO 20000; developing project charter & project management plans which has all the low level details; risk management plan, risk register, etc.
•  Prepared communication plan and stakeholder register to devise strategy
•  Responding to proposals of new prospective clients and new projects of the existing client
•  Preparing reports to measure project performance (Planned v/s Actuals)
•  Preparing quality management plan
•  Administering overall quality functions including service delivery, service levels & business continuity; providing support service consultancy and managing SLA and OLA requirements
•  Successfully completed a consulting engagement for Quantas Airlines, Australia, for implementing ITIL processes
•  Supervising a team of 70 member infrastructure support; rendering Level II & III support services on Lotus Domino, Blackberry and SMTP on 24x7 basis for more than 41,000 users in and around 89 countries across globe for British American Tobacco (BAT)
•  Conducted ISO 20000 GAP analysis and delegated process owners to each process; performing internal audits for the processes implemented
•  Implemented Incident, Problem, Change, Configuration, Availability, Capacity & IT Service Continuity Management processes
•  Implementing balanced scorecards to reflect the organisational objectives
•  Transitioning the new end markets into operations by assessing the new services requirements

May 2005 – Aug 2007 · 2 yrs 3 mos

•  Facilitating as Single Point of Contact (SPOC); accountable for handling service delivery operations, all technical issues, project risk assessment, knowledge transfer, quality, etc.
•  Requirements business gathering of the missing information from the client
•  Documenting the process to make it available to all stakeholders
•  Steering Six Sigma initiatives for streamlining the process in terms of quality and quantity of production, etc.
•  Acting as a part of problem management; identifying & resolving problems areas through symptoms, trends or deviations from standards