Architecting enterprise-scale data and AI systems at GSK
I'm a Data & AI Engineer with 2+ years of experience at GSK (GlaxoSmithKline), building intelligent, enterprise-scale systems across metadata management, data governance, and AI-powered search.
I own the full engineering lifecycle — from designing semantic search with OpenAI & Azure AI Search, to shipping Apache Spark pipelines on Databricks, to building FastAPI microservices and enterprise integrations with ServiceNow, Collibra, and SailPoint.
- 🔭 Currently building AI-powered metadata and governance platforms at GSK
- 🤖 Passionate about LLMs, semantic search, and intelligent automation
- 🛠️ I own end-to-end: architecture → backend → DevOps → delivery
- 🌱 Exploring Databricks Genie (NLQ) and NLP-driven analytics
- 🏆 Eliminated 90% manual effort and saved ~200 hours/year through automation
- 📍 Based in Bengaluru, India — Silicon Valley of India
| Metric | Result |
|---|---|
| Manual effort eliminated | 90% (~200 hrs/year saved) |
| Data sync time reduction | 99.6% (30 min → 7 sec) |
| Metadata retrieval improvement | 87.5% (8 hrs → 1 hr) |
| Tutorial views | 50K+ developers reached |
OpenAI · Azure AI Search · FastAPI · Python
Designed and implemented enterprise-scale semantic search and conversational query capabilities for the Rover metadata platform at GSK. Metadata assets are now discoverable via natural language, powered by OpenAI embeddings and Azure AI Search.
ServiceNow · Collibra · Azure Function Apps · GraphQL · Python
End-to-end integration automating governance workflows between ServiceNow and Collibra — eliminating 90% of manual effort (~200 hrs/year) and achieving a 99.6% reduction in data sync time (30 min → 7 sec).
Apache Spark · Databricks · Azure Data Factory · Delta Lake
Owned development and optimisation of Spark-based ingestion pipelines on Databricks, achieving significant runtime reductions and automating metadata cataloguing across enterprise systems. Integrated DQ outputs into Collibra for transparent governance reporting.
B.Tech — Computer Science & Information Science Engineering M.S. Ramaiah University of Applied Sciences, Bengaluru | 2020–2024 | CGPA: 8.2/10.0
| Certification | Issuer | Link |
|---|---|---|
| Career Essentials in Generative AI | Microsoft & LinkedIn | Link |
| Machine Learning with Python | Cognitive Class | Link |
| SQL (Advanced) | HackerRank | Link |
| Introduction to Cybersecurity | Cisco | Link |
| Python Masterclass | Udemy | Link |
| Build Smarter, Scalable Al Agents with UiPath | GeeksforGeeks | Link |
- 🥇 Best Project Award — out of 250 students at M.S. Ramaiah University
- 🎯 Rank 5 on GeeksforGeeks at university level
- 🏁 Rank 281 in GFG Coding Contest 119
- 📺 50K+ views on web development tutorial
"Turning data into intelligence, one integration at a time"