Principal Enterprise Architect – AI/ML | AI Leader - BT Group - Bengaluru, Karnataka
(2023-05)
- Designed, built, and deployed production-grade Agentic AI systems using multiagent architectures, Model Context Protocol (MCP), contextual memory, planning, task decomposition, tool orchestration, and agent-to-agent communication for enterprise telecom operations.
- Defined enterprise Agentic AI architecture and engineering standards, contributing to reusable frameworks including Agent Registry, MCP Registry, deployment patterns, governance, and secure AI integration.
- Designed and built BT's enterprise GenAI Gateway, enabling secure access to Amazon Bedrock, Google Gemini, Anthropic Claude, NVIDIA NIM, and open-source LLMs with intelligent model routing, policy enforcement, observability, and cost governance.
- Led implementation of AI SDLC, LLMOps, and MLOps practices, including model evaluation, benchmarking, prompt lifecycle management, inference optimization, and production deployment.
- Fine-tuned telecom-specific LLMs using LoRA and QLoRA, optimizing model performance while balancing accuracy, latency, and infrastructure cost.
- Delivered enterprise AI solutions including Agentic AI assistants, multimodal Video Q&A, AI-powered telecom support, semantic Knowledge Graphs, and drone-based visual intelligence, reducing content review by 50%, agent effort by 60%, and inspection time by 40%.
- Led enterprise AI architecture and modernization initiatives, improving business process efficiency by 30% while ensuring scalability, security, and responsible AI governance.
- Mentored cross-functional AI engineering teams and collaborated with business, security, and platform teams to drive enterprise adoption of modern AI solutions.
- Led the end-to-end architecture and delivery of multiple enterprise AI products—from strategy and solution design through production deployment, operationalization, and continuous optimization.
- Applied advanced statistical analysis, machine learning, and optimization techniques to solve complex business problems, enabling data-driven decision-making across enterprise functions.
- Guided the evolution of enterprise AI capabilities from traditional Machine Learning and predictive analytics to modern GenAI and Agentic AI, leveraging over 15 years of hands-on experience across the AI lifecycle.
Principal Data Scientist / Principal Architect AI/ML - Oracle - Bengaluru, Karnataka
(2019-01 - 2023-05)
- Led AI-driven Solutions Development: Managed a team of data scientists and engineers to develop AI solutions using computer vision models (Yolo V5, Faster RCNN) for inventory counting and defect detection, enhancing operational efficiency in Manufacturing, Healthcare, and Sports industries. Leveraged expertise in Data Science, Statistics, and Machine Learning with tools like Scikit-learn, TensorFlow, and PyTorch.
- Pre-sales & Client Engagement: Engaged in pre-sales activities, creating tailored AI and cloud solutions for commercial and enterprise clients, including RFPs, customer journey mapping, and presenting technical proposals, particularly in Manufacturing and Healthcare sectors.
- AI Thought Leadership: Provided strategic guidance in AI, analytics, and Industry 4.0, advising clients in Healthcare, Manufacturing, and Sports on technology adoption and innovation strategies. Some of this work is featured in publicly available blogs.
- Cost-Saving Predictive Models: Built predictive models using Machine Learning techniques that optimized inventory management and defect detection, leading to significant cost savings for the steel industry and advancements in Sports and Healthcare operations.
- End-to-End Solution Architecture: Designed and implemented solution architectures that aligned with business needs, overseeing seamless integration of AI technologies and contributing to RFP submissions and client solutions across multiple industries.
Sr Data Scientist – (Client Financial Times) - Gyan Matrix - Bengaluru, Karnataka
(2016-12 - 2018-12)
- Developed Predictive Models for Subscription Analytics: Built machine learning models using algorithms like XGBoost, Random Forest, and SVM to predict subscriber churn, engagement, and customer lifetime value, driving targeted retention strategies.
- Deep Learning for User Behavior Prediction: Applied neural networks and deep learning techniques to model complex patterns in subscriber behavior, improving accuracy in churn prediction and personalized recommendations.
- Customer Segmentation & Scoring: Designed and implemented customer segmentation algorithms and scoring models, enabling precision marketing and improved subscription conversion rates.
- End-to-End Data Science Workflow: Owned the full data science lifecycle – from data wrangling and feature engineering to model development and evaluation – using tools like scikit-learn, TensorFlow, and PyTorch to deliver actionable insights for business growth.
Senior Application Engineer - Test - Digital.ai (Numerify) - Bengaluru, Karnataka
(2014-09 - 2016-11)
Sr Engineer – Data Quality - EVRY Financial Services (Formerly SPAN Systems) - Bengaluru, Karnataka
(2013-11 - 2014-09)
Sr Quality Engineer - Data Quality
(2011-02 - 2013-09)
