Headline

Principal Architect @ GSK | Agentic AI & Data | PhD Candidate in Quantum Computing

About

1. Owned the end-to-end lifecycle—from executive roadmap planning and architectural design to hands-on, forward-deployed production engineering—delivering scalable GenAI and data products that actively run in production to solve real-world pharmaceutical and HR operational challenges. 2. Demonstrated deep domain agility by architecting and delivering enterprise cloud, data, and GenAI solutions tailored to the unique regulatory, compliance, and operational matrices of the Pharma, Banking, Insurance, Manufacturing, HR, Retail, and Publishing sectors. 3. An expert in Artificial Intelligence, Generative AI, Big Data, and Cloud Architecture, with deep expertise in Enterprise Architecture, Digital Transformation, Technology Modernization, and Enterprise Technology Strategy. 4. Extensive experience designing enterprise Data Lakes, Hadoop ecosystems, ETL pipelines, cloud-native analytics platforms, and modern AI solutions using Azure OpenAI, Azure AI Services, Databricks, LangChain, LangGraph, Graph RAG, Vector RAG, Agentic AI, and intelligent automation. 5. Proven ability to translate business strategy into scalable, governable enterprise architectures and technology roadmaps, modernize legacy platforms, optimize large-scale data ecosystems, and deliver business-critical solutions while collaborating with senior stakeholders and cross-functional teams. 6. Hands-on expertise in Java, Python, Scala, Azure, AWS, VMware, Kubernetes, and Databricks, with practical experience in Computer Vision, Document Intelligence, AI Search, Knowledge Graphs, enterprise integrations, Quantum Computing proof-of-concepts, and end-to-end Software Development Life Cycle (SDLC).

Location

Bengaluru

AI stack

claude

langchain

langgraph

langsmith

mcp

n8n

Work experience

Principal Architect - Agentic AI and Data at GSK, Apr 2025 - Present · 1 yr 6 mos, Bengaluru · Hybrid, 1. Enterprise AI Assistant: Developed a unified, conversational AI agent integrating core systems (ERP, HR, IT service desks) to automate policy exceptions, execute operational workflows, and dynamically generate documentation. 2. AI-Driven Expense Automation: Engineered a computer vision application that extracts text from receipt and invoice attachments, completely automating the validation and approval cycle for corporate travel and maintenance claims. 3. Automated Microbial Image Analysis: Built a high-precision computer vision tool to replace legacy quality control software, automating the detection and tracking of bacterial and fungal growth in medicine batch testing. 4. Regulatory Data Aggregator & Action Engine: Created an automated compliance pipeline that aggregates global pharmacopeia data and instantly maps out operational action items whenever regulatory shifts demand site updates.

Principal Data Engineer at GSK, Dec 2022 - Apr 2025 · 2 yrs 5 mos, Bengaluru · Hybrid, 1. Enterprise Data Lakehouse & Chatbot: Modeled a centralized cloud data lakehouse to ingest infrastructure logs and financial records, deploying an advanced Text-to-SQL Generative AI chatbot for natural-language data querying. 2. GxP-Compliant Data & AI Platform: Scaled a foundational enterprise-level Data and AI platform engineered for organization-wide drug discovery, maintaining rigorous GxP safety and data integrity standards. 3. Quantum Computing R&D for Life Sciences: Evaluated the application of quantum algorithms to life sciences bottlenecks, focusing on quantum-backed genetic optimization to accelerate mRNA codon design pipelines.

Lead Bigdata Engineer at Standard Chartered Bank, Sep 2020 - Dec 2022 · 2 yrs 4 mos, Bengaluru, 1. Engineered high-throughput financial message pipelines ensuring low latency and transaction compliance 2. Unified Payment Data & Analytics Pipeline: Engineered a centralized financial data environment that ingests payment records from disparate source systems, executing end-to-end data preparation, transformation, and optimization to power downstream business intelligence visualizations.

Bigdata Architect at Honeywell, Mar 2019 - Sep 2020 · 1 yr 7 mos, Bengaluru, Karnataka, India, IoT Sensor Data Analytics Platform: Engineered a centralized data environment to ingest high-frequency IoT data from disparate sensors, executing end-to-end data preparation, exploratory analysis, and structural transformation to drive real-time business intelligence visualizations.

Senior Consultant at Deloitte India (Offices of the US), Jun 2018 - Feb 2019 · 9 mos, Bangalore, 1. Advised clients on large-scale cloud migration strategies and automated strict governance validations. 2. Enterprise Data Cleansing & Science Pipeline: Developed a multi-source data ingestion framework that cleanses, normalizes, and applies rigorous data quality and validation rules to diverse datasets, executing optimized transformations to deliver high-fidelity inputs for downstream data science models and decision-making systems.

Technical Lead at Wipro, Apr 2016 - Jun 2018 · 2 yrs 3 mos, bangalore, 1. Legacy-to-Hadoop Stream Migration Engine: Engineered a high-throughput data migration pipeline replicating multi-source legacy relational databases into a distributed ecosystem via streaming events, utilizing stream-processing and distributed SQL query engines to power scalable big data analytics dashboards. 2. Cloud-Agnostic Infrastructure & Orchestration Platform: Developed an automated infrastructure provisioning platform featuring cluster orchestration, configuration management, and tenant onboarding, alongside automated health monitoring and self-healing recovery systems for master components.

Education

Doctor of Philosophy, Quantum Computing, MK University

MCA, Computers, Birla Institute of Technology, Mesra