Available to hire
I am Nagendar Gattigorla, a lead data scientist and AI engineer focusing on Generative AI, NLP, LLMs, and computer vision. I hold a Ph.D. in Computer Science and Engineering from IIIT Hyderabad and have over 10 years of experience applying AI to solve complex problems across industries. I have published several papers at prestigious AI conferences and have a proven track record of delivering end-to-end AI solutions, from research to production deployment.
I currently lead AI initiatives at Bell Canada in Mississauga, building production-grade RAG systems, conversational AI coaching features, and tool-augmented agents. I enjoy turning innovative research into scalable, real-world applications and mentoring teams to accelerate AI adoption.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Lead Data Scientist at Bell Canada
October 1, 2024 - November 27, 2025Led the development of a QA chatbot and a Retrieval-Augmented Generation (RAG) bot using large language models (LLMs) with web search and multimodal capabilities. Designed, developed, and deployed agent-based solutions for RAG applications, orchestrating tool usage and grounding accuracy across data stores. Built no-code deployment workflows using AgentBuilder and AgentSpace to accelerate deployment. Implemented a custom RAG pipeline including data ingestion, vectorization, and retrieval mechanisms to support intelligent information access. Developed and deployed a conversational AI coach that leverages LLMs to train customer-service agents, reducing onboarding time by about 20%.
Lead Data Scientist at 247.ai
May 1, 2024 - May 1, 2024Led the design of a Q&A engine using retrieval-augmented generation with LLMs in a cost-efficient hybrid setting. Fine-tuned the retrieval model using frozen LLM feedback and implemented compression techniques on retrieved documents to reduce inference cost while preserving accuracy. Built sentiment analysis for visitor-agent conversations and an Agent Co-Pilot to suggest optimal responses; trained with LLMs on previous chat transcripts; enabled agent onboarding via automated training pipelines.
Data Scientist at Center for Visual Information Technology, IIIT Hyderabad
January 1, 2020 - January 1, 2020Worked on efficient labeling in semantic segmentation for autonomous driving with Bosch Research India and IIIT Hyderabad; active learning to reduce labeling costs (WACV-2019). Developed surrogate loss networks for semantic segmentation to approximate IoU (BMVC-2018). Implemented defect detection in manufacturing via intelligent image matching and fraud detection in financial transactions; utilized CNNs, LSTMs, Transformers, GANs, Docker, Kubernetes, Spark, and related tools.
Lead AI Data Scientist/Engineer at Bell Canada
October 1, 2024 - PresentLed end-to-end development and production deployment of a Q&A chatbot and a Retrieval-Augmented Generation (RAG) agent using LLMs, integrating web-search and multimodal capabilities. Designed, built, and deployed agent-based RAG frameworks with tool orchestration via custom MCP servers and robust grounding across heterogeneous data stores for reliable retrieval. Implemented no-code/low-code RAG deployment pipelines (Agent-Builder, AgentSpace) to accelerate production rollout. Built and optimized a custom RAG pipeline covering data ingestion, vectorization, indexing, and retrieval to support high-performance information retrieval at scale. Developed a conversational AI coaching system leveraging LLМ-based interactions to train customer-service agents, reducing onboarding time by 20%.
Lead Data Scientist/Engineer at 247.ai
January 1, 2020 - May 1, 2024Designed a Q&A engine using RAG-based LLMs with external knowledge corpora in a cost-efficient hybrid setting. Fine-tuned a retrieval model using frozen LLM feedback and applied document compression (summaries and sentence selection) to reduce inference cost for long documents. Built agent-pilot workflows for cost-effective agent onboarding and training. Implemented sentiment analysis on visitor conversations and developed an Agent Copilot that suggests appropriate responses using a trained LLaMA-based external knowledge base.
Data Scientist at Center for Visual Information Technology, IIIT Hyderabad
January 1, 2013 - December 31, 2020Contributed to efficient labeling in semantic segmentation for autonomous driving with active learning to reduce labeling costs (accepted to WACV-2019). Developed a surrogate loss approach for semantic segmentation to approximate IoU loss (accepted to BMVC-2018). Worked on defect detection in manufacturing via intelligent image matching, fraud detection in financial transactions, and related ML/DL methods, data processing, and feature engineering.
Lead Data Scientist/Engineer at Bell Canada
October 1, 2024 - PresentLed end-to-end development and production deployment of a Q&A chatbot and a Retrieval-Augmented Generation (RAG) agent using LLMs, integrating web-search and multimodal capabilities. Designed, built, and deployed agent-based RAG frameworks, orchestrating tool usage via custom MCP servers and establishing robust grounding across heterogeneous data stores for reliable retrieval. Engineered no-code and low-code RAG deployment pipelines using platforms such as Agent-Builder and AgentSpace for rapid prototyping and production-grade AI agents. Built and optimized a custom RAG pipeline covering data ingestion, vectorization, indexing, and retrieval to support high-performance information retrieval at scale. Developed a conversational AI coaching system leveraging LLM-based interactions to train customer-service agents, reducing onboarding time by 20%.
Education
Ph.D. Computer Science and Engineering at IIIT Hyderabad
January 11, 2030 - January 1, 2023M.Tech Computer Science at Indian Statistical Institute (ISI), Kolkata
January 11, 2030 - January 1, 2009M.Sc Mathematics at University of Hyderabad
January 11, 2030 - January 1, 2007Ph.D. Computer Science and Engineering at IIIT Hyderabad, India
January 1, 2023 - December 17, 2025M.Tech Computer Science at Indian Statistical Institute (ISI), Kolkata
January 1, 2009 - January 1, 2009M.Sc Mathematics at University of Hyderabad, Hyderabad
January 1, 2007 - January 1, 2007Ph.D. Computer Science and Engineering at IIIT Hyderabad, India
January 11, 2030 - January 1, 2023M.Tech Computer Science at Indian Statistical Institute (ISI), Kolkata, India
January 11, 2030 - January 1, 2009M.Sc Mathematics at University of Hyderabad, Hyderabad, India
January 11, 2030 - January 1, 2007Ph.D. Computer Science and Engineering at IIIT Hyderabad, India
January 11, 2030 - January 1, 2023M.Tech Computer Science at Indian Statistical Institute (ISI), Kolkata, India
January 11, 2030 - January 1, 2009M.Sc Mathematics at University of Hyderabad, Hyderabad, India
January 11, 2030 - January 1, 2007Qualifications
TCS Research PhD Fellowship Award
January 11, 2030 - November 27, 2025TCS Research PhD Fellowship Award
January 1, 2020 - December 17, 2025GATE Rank 47
January 1, 2007 - December 17, 2025TCS Research PhD Fellowship Award
January 11, 2030 - January 6, 2026TCS Research PhD Fellowship Award
January 11, 2030 - January 6, 2026GATE 2007 Rank 47
January 11, 2030 - January 6, 2026Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Telecommunications, Financial Services, Computers & Electronics, Manufacturing, Education, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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