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I am a Senior Data Scientist with 9+ years driving AI/ML solutions in AIOps environments, specializing in predictive analytics, anomaly detection, and automation for IT operations. I build scalable ML pipelines and deploy robust models for proactive incident management, collaborating with cross-functional teams to translate AI insights into tangible business outcomes. I also fine-tune state-of-the-art LLMs using PEFT, LoRA, and RLHF to improve contextual accuracy and reduce hallucinations, and design retrieval-augmented generation pipelines with vector search and multimodal capabilities for enterprise use. I am passionate about governance, observability, and ethical AI, and I enjoy sharing knowledge through documentation, talks, and hands-on AI labs. My track record spans financial services, insurance, and IT operations, where I deliver enterprise-grade AI solutions aligned with regulatory standards and business goals, while maintaining a focus on reliability, security, and user-centric design.…I am a Senior Data Scientist with 9+ years driving AI/ML solutions in AIOps environments, specializing in predictive analytics, anomaly detection, and automation for IT operations. I build scalable ML pipelines and deploy robust models for proactive incident management, collaborating with cross-functional teams to translate AI insights into tangible business outcomes. I also fine-tune state-of-the-art LLMs using PEFT, LoRA, and RLHF to improve contextual accuracy and reduce hallucinations, and design retrieval-augmented generation pipelines with vector search and multimodal capabilities for enterprise use. I am passionate about governance, observability, and ethical AI, and I enjoy sharing knowledge through documentation, talks, and hands-on AI labs. My track record spans financial services, insurance, and IT operations, where I deliver enterprise-grade AI solutions aligned with regulatory standards and business goals, while maintaining a focus on reliability, security, and user-centric design.

Sai Priya Pogul

Data Scientist, AI Engineer, AI Developer, +2

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I am a Senior Data Scientist with 9+ years driving AI/ML solutions in AIOps environments, specializing in predictive analytics, anomaly detection, and automation for IT operations. I build scalable ML pipelines and deploy robust models for proactive incident management, collaborating with cross-functional teams to translate AI insights into tangible business outcomes. I also fine-tune state-of-the-art LLMs using PEFT, LoRA, and RLHF to improve contextual accuracy and reduce hallucinations, and design retrieval-augmented generation pipelines with vector search and multimodal capabilities for enterprise use. I am passionate about governance, observability, and ethical AI, and I enjoy sharing knowledge through documentation, talks, and hands-on AI labs. My track record spans financial services, insurance, and IT operations, where I deliver enterprise-grade AI solutions aligned with regulatory standards and business goals, while maintaining a focus on reliability, security, and user-centric design.…I am a Senior Data Scientist with 9+ years driving AI/ML solutions in AIOps environments, specializing in predictive analytics, anomaly detection, and automation for IT operations. I build scalable ML pipelines and deploy robust models for proactive incident management, collaborating with cross-functional teams to translate AI insights into tangible business outcomes. I also fine-tune state-of-the-art LLMs using PEFT, LoRA, and RLHF to improve contextual accuracy and reduce hallucinations, and design retrieval-augmented generation pipelines with vector search and multimodal capabilities for enterprise use. I am passionate about governance, observability, and ethical AI, and I enjoy sharing knowledge through documentation, talks, and hands-on AI labs. My track record spans financial services, insurance, and IT operations, where I deliver enterprise-grade AI solutions aligned with regulatory standards and business goals, while maintaining a focus on reliability, security, and user-centric design.

Available to hire

I am a Senior Data Scientist with 9+ years driving AI/ML solutions in AIOps environments, specializing in predictive analytics, anomaly detection, and automation for IT operations. I build scalable ML pipelines and deploy robust models for proactive incident management, collaborating with cross-functional teams to translate AI insights into tangible business outcomes. I also fine-tune state-of-the-art LLMs using PEFT, LoRA, and RLHF to improve contextual accuracy and reduce hallucinations, and design retrieval-augmented generation pipelines with vector search and multimodal capabilities for enterprise use.

I am passionate about governance, observability, and ethical AI, and I enjoy sharing knowledge through documentation, talks, and hands-on AI labs. My track record spans financial services, insurance, and IT operations, where I deliver enterprise-grade AI solutions aligned with regulatory standards and business goals, while maintaining a focus on reliability, security, and user-centric design.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Applied Scientist – GenAI at Mantech

December 1, 2024 - Present

Led domain-specific fine-tuning of GPT-4 and LLaMA using Parameter-Efficient Fine-Tuning (PEFT) and LoRA to optimize enterprise knowledge retrieval. Implemented reinforcement learning with human feedback (RLHF) to improve contextual relevance and reduce hallucinations. Designed modular prompt tuning frameworks with LangChain to orchestrate multi-step LLM workflows and external API calls. Built retrieval-augmented generation (RAG) pipelines by combining dense vector search with GPT generation using LlamaIndex. Developed scalable inference APIs with FastAPI and interactive Streamlit dashboards for real-time user interaction. Established evaluation pipelines using BLEU, ROUGE, and perplexity to measure generative quality. Integrated multimodal generation by combining Diffusion Models with CLIP embeddings. Automated model lifecycle management with MLflow and real-time model observability with LangSmith. Implemented governance to detect biased or inappropriate outputs and ensured compliance

Applied Scientist – NLP/ML at Wells Fargo

November 1, 2023 - October 13, 2025

Fine-tuned transformer-based models (BERT/RoBERTa) for NER on large-scale financial documents to improve regulatory compliance and risk management. Developed abstractive and extractive summarization pipelines; applied transfer learning on domain-specific corpora; engineered hybrid architectures (LSTM + transformers) to capture temporal dependencies in financial text. Built robust data pipelines integrating SQL for labeling and data extraction; used MLflow for experimentation, versioning, and deployment; containerized services with Docker and deployed inference via TensorFlow Serving/TorchServe; conducted A/B testing to optimize precision, recall, and F1 for compliance alerts; documented reproducible experiments and reproduced state-of-the-art NLP papers for internal use.

Data Scientist – NLP at Happiest Minds

November 1, 2021 - October 13, 2025

Developed text classification and NER pipelines using SpaCy; implemented robust tokenization and preprocessing with NLTK; performed sentiment analysis; built domain-adaptive pretraining on financial corpora; designed hybrid architectures combining LSTM with transformer embeddings to capture temporal patterns; automated data pipelines with SQL for labeling and data extraction; used MLflow for experiment tracking; containerized models with Docker; conducted batch processing and regression testing; authored detailed Jupyter reports with diagnostics and visualizations; collaborated with cross-functional teams to meet regulatory and risk objectives.

Associate Data Scientist at Innovaccer

August 1, 2018 - October 13, 2025

Built predictive models with scikit-learn to stratify patient risk from large healthcare claims data; performed extensive data preprocessing and feature engineering; designed and optimized SQL queries for data extraction from MySQL and PostgreSQL; conducted exploratory data analysis and visualizations; performed cross-validation and hyperparameter tuning; collaborated with data engineering for robust data pipelines; automated data cleaning with Python scripts; maintained version control with Git; contributed to agile ceremonies and documentation.