Hi! I'm a Senior AI/ML Engineer with over 9 years of experience building enterprise-grade AI, ML, and Generative AI solutions. I've worked extensively with large language models, MLOps, and scalable data systems, applying state-of-the-art techniques to real-world problems in sectors like retail and insurance. I love designing robust AI systems, from fine-tuning LLMs to developing autonomous agents and building complex data pipelines. I'm passionate about delivering practical, scalable AI solutions that drive business value while ensuring safety, fairness, and compliance. Collaboration and knowledge sharing are key parts of my approach, and I enjoy working closely with cross-functional teams to build impactful technologies.

SaHITHI RAI

Hi! I'm a Senior AI/ML Engineer with over 9 years of experience building enterprise-grade AI, ML, and Generative AI solutions. I've worked extensively with large language models, MLOps, and scalable data systems, applying state-of-the-art techniques to real-world problems in sectors like retail and insurance. I love designing robust AI systems, from fine-tuning LLMs to developing autonomous agents and building complex data pipelines. I'm passionate about delivering practical, scalable AI solutions that drive business value while ensuring safety, fairness, and compliance. Collaboration and knowledge sharing are key parts of my approach, and I enjoy working closely with cross-functional teams to build impactful technologies.

Available to hire

Hi! I’m a Senior AI/ML Engineer with over 9 years of experience building enterprise-grade AI, ML, and Generative AI solutions. I’ve worked extensively with large language models, MLOps, and scalable data systems, applying state-of-the-art techniques to real-world problems in sectors like retail and insurance.

I love designing robust AI systems, from fine-tuning LLMs to developing autonomous agents and building complex data pipelines. I’m passionate about delivering practical, scalable AI solutions that drive business value while ensuring safety, fairness, and compliance. Collaboration and knowledge sharing are key parts of my approach, and I enjoy working closely with cross-functional teams to build impactful technologies.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Language

English
Fluent
Hindi
Advanced
Afar
Advanced
Javanese
Intermediate
Amharic
Intermediate

Work Experience

Senior AI Engineer at AMD
December 1, 2023 - Present
Led design and deployment of production-grade AI/ML solutions for silicon lifecycle management, including defect detection, yield prediction, and supply chain forecasting. Developed supervised and unsupervised models (XGBoost, LightGBM, Random Forests, K-Means) and forecasting models (LSTM, ARIMA, Prophet). Built deep learning computer vision solutions with CNNs, ResNet, and YOLOv5. Engineered features from large-scale sensor data using PySpark and Azure Data Factory. Developed NLP models for text classification, entity recognition, and summarization using BERT and T5. Managed deployments as REST APIs with FastAPI, Docker, and Azure Kubernetes. Automated CI/CD pipelines and retraining workflows. Implemented observability and monitoring with OpenTelemetry and Azure Monitor, and applied explainability techniques (SHAP, LIME). Collaborated cross-functionally for AI governance and enterprise scaling.
Senior AI Engineer at AMD
December 1, 2023 - Present
Designed and deployed production-grade AI/ML solutions to support AMD’s silicon lifecycle management, including chip defect detection, yield prediction, supply chain forecasting, and internal operational intelligence. Developed supervised and unsupervised models, forecasting models, and deep learning-based computer vision solutions for silicon wafer defect classification and anomaly detection. Engineered features from large-scale manufacturing sensor telemetry and conducted NLP modeling for text classification and summarization. Managed deployment of ML models as REST APIs using FastAPI and Azure Kubernetes Service with automated CI/CD workflows, and implemented observability and drift detection pipelines. Collaborated with multiple teams to scale AI use cases and maintain security and compliance per SOC 2 and GDPR frameworks. Led documentation and testing efforts for production readiness.
AI/ML Engineer at CarGurus
November 30, 2023 - August 1, 2025
Developed an AI-powered vehicle discovery platform integrating GPT-4, semantic search, and vector databases for natural language car search and recommendations. Built scalable RAG pipelines using FAISS and Pinecone, and Python FastAPI microservices deployed on AWS Lambda. Integrated OpenAI Plugin schema allowing ChatGPT plugin interactions. Crafted prompt engineering strategies using few-shot learning and dynamic prompts to reduce hallucinations. Designed modular pipelines for document chunking and embedding generation. Conducted A/B testing for optimization. Built monitoring layers with CloudWatch and OpenTelemetry. Automated CI/CD with GitHub Actions and ensured secure model interactions with IAM and API key management. Partnered with product and UX teams to drive user engagement and business outcomes.
AI/ML Engineer at CarGurus
November 30, 2023 - August 1, 2025
Developed and deployed an AI-powered vehicle discovery platform integrating GPT-4, semantic search, and vector databases for natural language car search, comparison, and recommendations. Built scalable RAG pipelines and backend microservices deployed on AWS Lambda with full observability and CI/CD automation. Designed intelligent prompt engineering strategies, fallback logic, and modular pipelines for document chunking and embedding generation. Integrated OpenAI Plugin schema for seamless ChatGPT plugin ecosystem interaction. Conducted A/B testing and monitoring to optimize prompts and model configurations. Collaborated with product managers and UX teams to align system outputs with business goals and improve user engagement metrics. Documented system design and API specifications for team use.
Data Scientist at State Farm
December 31, 2021 - August 1, 2025
Led modeling efforts to support fraud detection and safety program effectiveness as part of SIU collaboration. Extracted and managed large-scale claims and fraud datasets with Hadoop, Hive, and Snowflake. Built predictive and anomaly detection models using Random Forests, Logistic Regression, Isolation Forest, and others. Developed PySpark ETL pipelines orchestrated with Airflow. Created real-time Tableau dashboards for fraud insights and ROI. Developed model monitoring frameworks for drift detection and integrated business feedback loops. Presented insights to leadership and stakeholders. Deployed fraud scoring APIs for real-time alerts. Led NLP use cases for sentiment analysis and incident prediction. Applied statistical modeling in SAS, R, and SPSS to quantify safety program impacts.
Data Scientist at State Farm
December 31, 2021 - August 1, 2025
Led multivariate analysis and ML model development for fraud detection and safety program effectiveness in the insurance domain. Partnered with the Special Investigations Unit to improve early fraud identification rates using Random Forests, Isolation Forest, and statistical modeling. Engineered features, extracted and integrated large-scale claims datasets, and implemented PySpark ETL pipelines automated through Apache Airflow. Developed model monitoring, performance dashboards in Tableau, and real-time fraud scoring APIs. Delivered insights to executives and investigators supporting policy changes and operational decisions. Applied NLP for sentiment analysis and incident prediction, conducted statistical hypothesis testing, and maintained documentation for audit readiness.
Data Scientist/ML Engineer at GeoIntex
August 31, 2019 - August 1, 2025
Processed unstructured geospatial and disaster text data to enable scalable ingestion and transformation pipelines. Built NLP pipelines for disaster response including text normalization, tokenization, lemmatization, and NER using SpaCy and Stanford NLP. Developed text classification models for disaster type categorization using TF-IDF, Word2Vec, Logistic Regression, SVM, and XGBoost. Integrated Named Entity Linking with geocoding via OpenStreetMap and Google Places API. Optimized document retrieval using BM25 and hybrid search techniques. Deployed NLP models on Google Cloud Vertex AI and TensorFlow Serving ensuring low-latency inference. Conducted evaluation using various metrics for performance and reliability.
Data Scientist/ML Engineer at GeoIntex
August 31, 2019 - August 1, 2025
Processed unstructured geospatial and disaster response text data using Spark and cloud storage. Developed NLP pipelines including tokenization, lemmatization, NER, and classification models for disaster type categorization. Integrated entity linking with mapping APIs to support situational awareness. Optimized retrieval systems with BM25 and hybrid search, deploying models on Google Cloud Vertex AI for rapid inference. Evaluated model performance with appropriate metrics and ensured reliability for emergency analytics.
Software Developer at Santarich Infotech LLP
July 31, 2017 - August 1, 2025
Participated in full lifecycle development of web applications using Agile methodology. Created responsive user interfaces using HTML, CSS, JavaScript, jQuery, Bootstrap, and AngularJS. Developed backend RESTful APIs using Python frameworks Django and Flask. Managed ORM-based data handling with SQLAlchemy and configured routing with Django URL patterns. Integrated client-server functionality enhancing real-time updates with jQuery UI. Delivered scalable and maintainable application features through collaborative team efforts.
Software Developer at Santarich Infotech LLP
July 31, 2017 - August 1, 2025
Participated in full lifecycle development of web applications using Agile methodology. Created responsive user interfaces with HTML, CSS, JavaScript, AngularJS, and jQuery. Built backend logic and RESTful APIs with Django and Flask frameworks in Python. Integrated ORM solutions with SQLAlchemy and managed routing and client-server interactions for dynamic web features.

Education

Bachelor of Technology at Srindhi University, Hyderabad, Telangana, India
January 1, 2012 - December 31, 2016
Bachelor of Technology at Srindhi University, Hyderabad, Telangana, India
January 1, 2012 - December 31, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Financial Services, Manufacturing, Consumer Goods, Transportation & Logistics