Hello, I’m
Prasad Thipparthi
Data Scientist — Artificial Intelligence
Data Scientist Generative AI Agentic AI
Building intelligent systems that reason, retrieve, and act.
I design, develop and deploy enterprise AI—from LLM applications, fine-tuning and advanced RAG to multi-agent orchestration and cloud-native delivery.
8+ years at IBMHyderabad, India
RAG
AGENTS
KNOWLEDGE BASES
LLMs
MCP
IBM
assignments
& orchestration
at scale
01 Profile
Turning emerging AI into working enterprise systems.
I’m a Data Scientist with a strong track record of delivering AI-driven solutions across information technology and services. I specialise in Large Language Model applications, model fine-tuning, Retrieval-Augmented Generation and agentic workflows for complex business challenges.
My work spans NLP, machine learning, hybrid structured-data intelligence, vector retrieval and scalable delivery across IBM Cloud and AWS. I take solutions from experimentation through APIs, containerisation, CI/CD and enterprise deployment.
I’m also an AI trainer and technical speaker, translating advanced AI patterns into practical workshops, exercises and practitioner enablement. Since August 2025, I have additionally served as a part-time Agentic AI Instructor at the Boston Institute of Analytics in Hyderabad.
IBM India · Aug 2017 — PresentNIT Puducherry · 2017IIT Guwahati · GenAI 2026IIT Kharagpur · AI4ICPS CurrentBoston Institute of Analytics · Instructor
02 How I build
From a business question to an agentic outcome.
Grounded, observable workflows that combine LLM reasoning with enterprise data, APIs and validation.
01
Intent
Understand the goal
→02
Retrieve
Ground with trusted data
→03
Reason
Plan the next best action
→04
Act
Use tools and APIs
→05
Validate
Check quality and safety
LLMsVector DBMCP & APIsHuman feedback
03 Experience
Enterprise AI,
built end to end.
Eight-plus years at IBM spanning cognitive computing, NLP, cloud modernisation, Generative AI, advanced RAG and agentic systems.
Primary employerIBM India Pvt Ltd
Data Scientist — Artificial Intelligence
Aug 2017 — Present · IndiaAdditional role · Part-timeBoston Institute of Analytics
Agentic AI Instructor
Aug 2025 — Present · Hyderabad, Telangana, IndiaSenior Data Scientist
Product Intelligence & RAG Solution
AI-driven product categorisation and cross-referencing across large-scale product catalogues.
- Designed a LlamaIndex RAG framework for large-scale product data.
- Built ingestion, indexing and semantic retrieval pipelines.
- Improved contextual discovery and product mapping through vector search and AI recommendations.
LlamaIndexRAGVector Search
Lead Data Scientist
IBM Project Stark
Agentic AI assistants for business analyst and solution architect workflows on ICA and AWS Bedrock.
- Created a proof of concept for prompt flows and BA user-story generation.
- Developed production agent orchestration for requirements, impact analysis and decision support.
- Contributed reusable components and scalable ingestion integrated with the ICA4AA framework.
Agentic AIAWS BedrockICA4AA
Data Scientist — Gen AI
Auto Augmented Quality Engineering
Generative AI solution for automating and improving test-case and code-snippet generation.
- Worked across LLM fine-tuning, prompt engineering and advanced RAG.
- Designed chunking and retrieval approaches using the LangChain framework.
LLM Fine-tuningLangChainAdvanced RAG
Data Scientist — AI
Mainframe Application Modernizer
Cloud Garage Method asset supporting analytics-led application modernisation for multi-cloud journeys.
- Built backend APIs for the Mainframe Application Modernizer asset.
- Integrated analytics, operations analysis and other AI services.
Cloud ModernisationAPIsAnalytics
Data Scientist — AI
DIABOS Cognitive Digitization
Cognitive document intelligence for extracting contract actions and updating shipping-industry charter-party documents.
- Led the cognitive team for the CharterParty Editor application.
- Applied Watson Knowledge Studio and NLP to contract-agreement document sets.
- Managed Flask APIs, Docker packaging, CI/CD and document-processing performance.
NLPWatsonDocument AI
Data Scientist — Cognitive Computing
Cognitive KYC
An MVP automating adverse press, sanctions, PEP and identity checks with cognitive capabilities.
- Supported application data management using IBM Db2.
- Contributed to a cognitive KYC workflow designed to enhance an existing client system.
Cognitive AIKYCDb2
04 Selected work
Systems designed for real-world complexity.
Representative solution themes drawn from recent enterprise assignments.
01
Product Intelligence & Cross-Reference
Metadata-aware semantic retrieval across enterprise product catalogues, combining taxonomy filters, vector search and AI-assisted recommendations.
LlamaIndexQdrantEmbeddingsRAG
02
Agentic Requirements Studio
Reusable orchestration flows that turn source documents into user stories, acceptance criteria, impact analysis and decision support for BA and SA teams.
AWS BedrockAgentic AIPrompt FlowsIngestion
03
GenAI Quality Engineering
Advanced RAG, prompt engineering and model adaptation patterns that automate test-case and code-snippet generation for quality engineering.
Fine-tuningLangChainChunkingLLMs
04
Cognitive Document Intelligence
NLP-led extraction of actions from contract agreements, with automated document updates, scalable processing and cloud-native application delivery.
Watson Knowledge StudioNLPFlaskDocker
05 Education & credentials
Continuous learning,
validated in practice.
Formal education, advanced certification and role-aligned digital credentials.
2026
Advanced certification
View certificate Advanced Certification in Generative AI
E&ICT Academy, Indian Institute of Technology Guwahati · Aug 2025 — Feb 2026
Certificate ID: EICT/2526/081/05/020IBM Generative & Agentic AI Data Scientist
IBM
IBM Generative & Agentic AI Developer
IBM
AWS Partner: Generative AI Technical
AWS
AWS Partner: Agentic AI Essentials
AWS
Generative & Agentic AI Foundation
IBM
Containers & Kubernetes Essentials
IBM
Microsoft Certified: Azure Data Fundamentals
Microsoft
B.Tech in Computer Science & Engineering
National Institute of Technology Puducherry · 2017
LLM Application Development & Fine-tuning
LangChain, foundational models and prompt engineering · DeepLearning.AI
IIT Kharagpur AI4ICPS Certificate Programme
Hands-on Approach to Advanced AI for Real-World Applications
06 Knowledge sharing
Learning that becomes shared capability.
Technical speaker, trainer and author across AI, data science and practical application delivery.
Agentic AI Instructor
Boston Institute of Analytics · Part-time
Aug 2025 — Present · Hyderabad, Telangana, India- Agentic AI & Generative AI hands-on sessions for IBM practitioners at ICA Day, Hyderabad
- Generative AI – LLM Applications · 3-day workshop
- Python for Data Science · 3-day workshop
- Real-time Data Science & AI Projects · 2-day workshop
- Ethical Hacking Countermeasures · 1-day workshop
Complex Table Variant Analysis with AI System Inputs2026
Data Science — The Future2022
07 Capabilities
A practical toolkit for intelligent products.
Languages
EnglishFluent
TeluguFluent
HindiGood
TamilGood
Generative & Agentic AI
Generative AIAgentic AIPrompt EngineeringRAGVector SearchAgent OrchestrationMCP ServersStrands AgentsLangflow
Models & Frameworks
LangChainLangGraphLlamaIndexHugging FaceLLaMAGPTCodeLLaMAWatsonxAWS Bedrock Agents
NLP, ML & Applications
PythonNLPMachine LearningText AnalyticsDoclingWatson Knowledge StudioWatson AssistantFastAPIFlaskStreamlit
Data & Retrieval
ChromaDBFAISSMilvusPineconeQdrantNeo4jCassandraCloudantInfluxDBSQLitePostgreSQLDb2
Cloud & Delivery
IBM CloudAWSECSEKSDockerKubernetesOpenShiftCI/CDCloud-native Deployment
Let’s build what’s next
Have an AI challenge worth solving?
Connect with me to discuss Generative AI, Agentic AI, enterprise RAG, NLP or technical enablement.