Shilpa Hegde
Principal Domain Architect – AI, ML & Generative AI | Nokia | Enterprise GenAI Platforms | LLM, RAG, MLOps & Cloud AI
- Role
- IBM
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Shilpa Hegde
If AI/ML gets you excited—or leaves you completely lost—hit me up at s••••••••@gmail.com. Let’s talk tech, no jargon, just real talk! AI Architect & Data Science Leader with 14+ years of experience designing and deploying AI, GenAI, and ML solutions across healthcare, defense, telecom, finance, and retail. Expertise in AI transformation, workflow optimization, and enterprise-scale AI solutions that enhance efficiency and business impact.Responsibilities- AI/ML Architecture & Solution Design – Designed scalable AI/ML workflows, RAG architectures, and cloud-based AI solutions- Generative AI & LLMs – Built AI-driven chatbots, document summarization models, and anomaly detection using Llama2, Watsonx.ai, OpenAI, etc- AI Strategy & Business Impact – Led AI-driven transformations, improving operational efficiency by 80-90% through automation and analytics- MLOps & Cloud Deployment – Built ML pipelines, implemented CI/CD, model monitoring, and deployed models on AWS, Azure, and GCP- Data Engineering & Feature Engineering – Developed data pipelines, feature stores, and real-time AI/ML frameworks- Leadership & Collaboration – Managed AI teams, worked with C-level executives, and aligned AI with business objectives.Technology Expertise: Programming & AI Frameworks: Python, SQL, PySpark, TensorFlow, PyTorch, LangChain, Dataiku LLMs & GenAI: RAG, Prompt Engineering, Llama2, Watsonx.ai, OpenAI, Google Flan UL2, Meta AI Cloud & MLOps: AWS (SageMaker, Lambda), Azure (ML Studio, OpenAI), GCP, CI/CD, Model Monitoring Big Data & Databases: Apache Spark, Hadoop, Snowflake, Redshift, MongoDB AI Use Cases: Chatbots, NLP, Forecasting, Fraud Detection, Predictive Analytics, Computer VisionKey Achievements:1) Developed RAG-Based AI Solutions – Designed retrieval-augmented generation (RAG) architectures for enterprise document search.2) 97% Accuracy in Patient Feedback Analysis – Built a sentiment analysis solution for hospitals with 97% accuracy.3) Secured $2.3M AI-Powered Recruitment Deal – Developed a Watsonx.ai-based recruitment platform, closing a $2.3M IBM deal.4) Built AI Solution for a Turkish Bank – Designed a Watsonx.AI-powered system, securing a $50K contract.Won National Defense Contract – Developed AI-driven document classification & RAG-based solutions, leading to IBM’s contract win.5) Mentored 100+ Participants in IBM GenAI Hackathons – Provided technical guidance in AI hackathons & events.Thanks for visiting my Profile. Let\'s connect!
Experience
Present
Education
Liverpool John Moores University
Master of Science - MS, Data Science
Bapuji Institute of Engineering & Technology, DAVANAGERE
Bachelor of Engineering (B.E.), Information Technology
2007 — 2011
International Institute of Information Technology Bangalore
Post Graduate Diploma in Data Science
2018 — 2019
Skills
- Software Development
- Cobol Programming
- Ibm Mainframe Application Development and Enhancement
- Db2 Fileaid
- Cobol Db2 Programming
- Spufi for Db2
- Turnover for As400
- Mainframe Testing
- As400 Testing
- Requirements Analysis
- Cl and Clle
- Db2
- C++
- Agile & Waterfall Methodologies
- Business Analysis
- Mainframe
- Changeman for Mainframes
- Db2400
- As400 Application Development and Enhancement
- Agile Methodologies
- Rpg and Rpgle
- Jcl
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