Dr. J. Rajagopal
Chennai
Summary
Delivery manager with expertise in establishing centers of excellence and solution architect teams for generative AI and machine learning initiatives. Senior AI/ML solution architect skilled in designing and deploying advanced AI-driven solutions, including conversational AI and intelligent automation. Proven ability to architect retrieval-augmented generation frameworks and hybrid database solutions across AWS, Azure, and GCP. Successful in leading digital transformations that integrate AI systems with CRM and telephony platforms, optimizing workflows for enhanced operational efficiency.
Overview
21
21
years of professional experience
1
1
Certification
Work History
Delivery I/C and Solution Architect
SAKSOFT
Chennai, India
04.2026 - Current
- Platform-Agnostic RAG Engine: Architected and spearheaded the development of a completely platform-agnostic and use-case-agnostic Retrieval-Augmented Generation (RAG) engine. Designed the system to be "plug-and-play" across AWS, Azure, and GCP, capable of handling diverse data modalities to provide context-aware intelligence for any enterprise solution.
- AI-Augmented ROI System for B2B Inventory: Leading the design and delivery of an AI-driven ROI optimisation system for B2B inventory management. This system utilises predictive analytics and machine learning to automate stock replenishment, minimise carrying costs, and maximise return on investment through intelligent demand forecasting.
- Strategic Delivery Oversight: Serving as the Delivery In-Charge (I/C) for high-stakes AI/ML initiatives, ensuring project milestones align with client business objectives, while maintaining a 100% on-time delivery rate for complex digital transformations.
- Cross-Functional Leadership: Bridging the gap between technical execution and business strategy by managing a multidisciplinary team of engineers and data scientists to build scalable, production-ready AI agents, and workflows.
- Architectural Governance: Defining the technology roadmap and best practices for GenAI implementation, focusing on cost-effective scaling and the integration of vector databases (Neo4j, Pinecone) into existing enterprise stacks.
Senior AI/ML Solution Architect
Cognizant Technology Solutions (Intellectt INC)
Chennai, India
06.2025 - 03.2026
- Leading cutting-edge Al initiatives focused on conversational Al and intelligent automation systems, specializing in advanced LangGraph implementations and enterprise-grade GenAl solutions.
- IVR Automation Systems: Architected and deployed intelligent Interactive Voice Response (IVR) systems using LangGraph and Generative Al, creating sophisticated conversational flows that handle complex customer queries with 85% resolution rate.
- Advanced RAG Implementation: Developed enterprise-scale Retrieval-Augmented Generation systems with multi-modal capabilities, integrating structured and unstructured data sources for context-aware responses.
- Prompt Engineering & AutoGen: Implemented advanced prompt engineering strategies and AutoGen frameworks for autonomous multi-agent conversations, reducing manual intervention by 75% in customer service operations.
- Vector & Graph Database Architecture: Designed and deployed hybrid vector-graph database solutions using Pinecone, Weaviate, and Neo4j for semantic search and complex relationship modeling in conversational Al systems.
- Conversational AI Optimisation: Built end-to-end voice and text-based AI assistants with natural language understanding, speech-to-text integration, and real-time sentiment analysis.
- Enterprise Integration: Integrated AI systems with existing CRM, telephony, and customer service platforms, ensuring seamless workflow automation and data synchronisation.
AI/ML Solution Architect
CURIS RCM LLP
05.2020 - 05.2024
- Led enterprise AI/ML transformations and cloud modernization initiatives, architecting scalable solutions using cutting-edge Generative Al technologies and cloud-native architectures.
- Generative Al & LLM Architecture: Designed and implemented advanced Al solutions using Generative Al, Retrieval-Augmented Generation (RAG), and fine-tuned Large Language Models with LangChain, LangGraph, and Hugging Face frameworks, improving operational efficiency by 65%.
- Cloud Migration & Modernization: Led cloud migration strategies transforming monolithic systems to microservices and serverless architectures across AWS, Azure, and GCP platforms, reducing Infrastructure costs by 40% while Improving scalability.
- Computer Vision & Medical Al: Developed advanced computer vision solutions using Vision Transformers, including a cancer detection system trained on 15 million unlabelled and 60,000 whole-slide Images across 19 cancer types, achieving 94% accuracy in cancer detection and linking tissue patterns to genomic aberrations for treatment recommendations without DNA sequencing.
- Document Automation Systems: Architected intelligent document processing solutions leveraging BART, LayoutLM, and Agentic Al workflows for automated content extraction and analysis, processing 10,000+ documents daily.
- Data Architecture & Analytics: Built and optimized data lakes, ETL pipelines, and analytics dashboards using PySpark and MLOps tools, enabling real-time insights and data-driven decision making.
- Search & Discovery Systems: Implemented centralized search engines using ElasticSearch, Solr, and Neo4j for intelligent content discovery, sentiment analysis, and knowledge graph construction.
- DevOps & Security: Collaborated with InfoSec and DevOps teams to maintain CI/CD pipelines, perform vulnerability analysis, and ensure compliance with industry standards and regulations.
- Infrastructure Modernization: Guided modernization initiatives across application stacks and coordinated BCDR-compliant infrastructures for mission-critical services with 99.9% uptime.
- Technical Leadership: Provided technical leadership and mentored engineering teams of 8-12 members throughout all phases of SDLC, establishing best practices for AV/ML development and deployment.
- Full-Stack Development: Developed end-to-end solutions using Python, Java (Spring Boot, Spring Al), PyTorch, with front-end technologies including HTML, JavaScript, and jQuery.
RPA Solution Architect
Maven Healthcare
02.2016 - 04.2020
- Developed 30+ Al-powered RPA solutions for healthcare automation, improving operational efficiency by 65% using Python, Selenium, and machine learning algorithms.
IT Manager & Systems Architect
The Madras Silks India Pvt Ltd
01.2013 - 01.2016
- Led digital transformation initiatives and supply chain optimization using data analytics, improving operational efficiency by 40% across retail operations.
Senior Software Engineer & Team Lead
RSIM Technologies
05.2005 - 10.2012
- Developed enterprise RAD tools and micro-ERP systems, leading teams of 5-7 engineers in building scalable software solutions with comprehensive analytics capabilities.
Education
Ph.D. - Chemical Engineering
Anna University
01.2022
M.Tech - Chemical Engineering
Coimbatore Institute of Technology
01.2004
IIT GATE Qualified - Chemical Engg
IISc Bangalore, IIT Madras, IIT Delhi
01.2004
B.Tech - Chemical Engineering
Adhiyaman College of Engineering
01.2000
Skills
- Python
- LangChain/LangGraph
- Generative Al
- PyTorch/Hugging Face
- Cloud Architecture
- AWS/Azure/GCP
- ElasticSearch/Neo4j
Certification
- In-Silico Vaccine Design, BioGrademy (BioNovura Labs), 2025, BL25VDC13684
- Graph Generation for Drug Discovery, Udemy, 2025, UC-16687358-5993
- Document Retriever with LangChain, FreeCourse, 2025, vmzvnpdue
LANGUAGES
English
Tamil
Hobbies and Interests
Photography
Websites, Portfolios and Profiles
- https://linkedin.com/in/rajagopal-jayaraman-61286584
- https://github.com/Irajagopal-chem
Timeline
Delivery I/C and Solution Architect
SAKSOFT
04.2026 - Current
Senior AI/ML Solution Architect
Cognizant Technology Solutions (Intellectt INC)
06.2025 - 03.2026
AI/ML Solution Architect
CURIS RCM LLP
05.2020 - 05.2024
RPA Solution Architect
Maven Healthcare
02.2016 - 04.2020
IT Manager & Systems Architect
The Madras Silks India Pvt Ltd
01.2013 - 01.2016
Senior Software Engineer & Team Lead
RSIM Technologies
05.2005 - 10.2012
Ph.D. - Chemical Engineering
Anna University
M.Tech - Chemical Engineering
Coimbatore Institute of Technology
IIT GATE Qualified - Chemical Engg
IISc Bangalore, IIT Madras, IIT Delhi
B.Tech - Chemical Engineering
Adhiyaman College of Engineering