AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal AI Scientist @ Verizon | Building Gen AI, LLM solutions
As a Data Scientist with over a decade of experience, I specialize in designing, deploying, and scaling intelligent systems across industries—from e-commerce and finance to telecom and healthcare. I’ve led AI product teams, driven IP creation, and built robust MLOps pipelines that power impactful applications in Generative AI, LLMs, and NLP. With hands-on expertise in model architecture, deployment (SageMaker, Azure, GCP), and real-world problem-solving Gen AI use cases, I bring a product-oriented, research-driven mindset to every project. Currently open to exciting opportunities where I can lead innovation in AI and make data work smarter. Let’s connect if you’re building the future with AI in particular, Gen AI & LLM. Currently, I am part of the Cognitive AI Science team at Verizon building and deploying state-of-the-art models for information retrieval, conversational AI, and question answering using LLMs, Machine Learning(ML), and Deep Learning. I am always : * Curious about building AI models - Machine Learning/Deep Learning models (from development to deployment) - Information Retrieval Systems - Conversational AI systems - Question and Answering models My research interests have recently shifted towards Multimodal models, RAG, Reasoning models, and Reinforcement Learning using LLMs. Currently working on multi-turn, conversational, reinforcement learning-based post-training on LLM models, reward modeling, RLHF, and Agentic AI systems. * Also, built large-scale systems and data pipelines using - distributed processing, parallel computing - handling inference challenges at scale **Lately using these skills for our models: Programming languages - Python Distributed framework - Ray ML frameworks - Pytorch Deployment & MLOps - Git and Docker, AWS Sagemaker, Docker, Kubernetes, ML
National University of Singapore
Master of Technology - MTech, Enterprise Business Analytics
January 1, 2017 – January 1, 2018
Illinois Institute of Technology
Non degree graduate, Information Technology and Management
January 1, 2015 – January 1, 2016
PSG College of Technology
BE, ECE
January 1, 2005 – January 1, 2009
Verizon
Principal AI Scientist, AI Science| Building Gen AI, LLM solutions
January 1, 2025 – Present
Chennai, Tamil Nadu, India · On-site
Blue Raven AI
Research Scientist/Machine Learning Engineer (Gen AI/ML)
September 1, 2024 – January 1, 2025
Singapore, Singapore · On-site
A*STAR - Agency for Science, Technology and Research
Lead Research Engineer II
May 1, 2023 – May 1, 2024
Singapore · On-site
A*STAR - Agency for Science, Technology and Research
Senior Research Engineer II
April 1, 2020 – May 1, 2023
Singapore · On-site
A*STAR - Agency for Science, Technology and Research
Senior Research Engineer/Data Scientist I
May 1, 2019 – April 1, 2020
Singapore · On-site
Amaris.AI Pte Ltd
AI Data Scientist(NLP)
November 1, 2018 – May 1, 2019
Singapore
A*STAR - Agency for Science, Technology and Research
Data Scientist NLP (contract)
June 1, 2018 – August 1, 2018
Singapore
AiChat Pte Ltd
Data Scientist Intern NLP
December 1, 2017 – May 1, 2018
Singapore
Lazada Group
Data Scientist Intern
September 1, 2017 – November 1, 2017
Singapore
Marks and Spencer
IT Analyst - Order Management
July 1, 2013 – June 1, 2014
London, Greater London, United Kingdom
Tata Consultancy Services
IT Analyst
December 1, 2009 – August 1, 2015
JCPenney
Data Analyst - Order Fulfillment & Management
December 1, 2009 – June 1, 2012
Chennai Area, India
Deep Reinforcement Learning
February 1, 2020 – Present
- Collaboration and Competition project - Continuous Control project using DDPG, Pytorch - Navigation using project DQN in Pytorch
Certificate in Commercial Law and Technology Transfer
Temasek Polytechnic
June 24, 2026 – Present
Deep Reinforcement learning
Udacity
June 24, 2026 – Present
Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Big Data
UC San Diego
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across research institutions (A*STAR), startups (Amaris.AI, Blue Raven AI), and large corporations (Verizon, Tata Consultancy Services) suggests adaptability to various organizational cultures. Their involvement in mentoring and establishing best practices indicates a collaborative and knowledge-sharing mindset. The breadth of projects, from deep reinforcement learning to enterprise business analytics, shows a versatile and curious individual, which is beneficial for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's experience at A*STAR and Amaris.AI demonstrates strong problem-solving, communication with stakeholders, and leadership in technical teams. Their involvement in establishing MLOps practices and mentoring suggests a proactive and collaborative approach to operational excellence. The project descriptions indicate an ability to break down complex problems into MVPs and communicate business value.