Available to hire
I am Aasritha Bhimisetty, a Data Scientist and AI/ML Engineer with close to 3 years of hands-on experience building end-to-end ML/DL solutions across Banking, Telecom, Healthcare, E-commerce, and Retail. I specialize in Generative AI, LLMs (GPT-3/4, BERT, T5, LLaMA), and Agentic AI for intelligent automation and natural language generation.
I thrive on turning complex data into actionable insights, delivering scalable MLOps pipelines, and collaborating with cross-functional teams to drive business impact. I enjoy applying NLP, CV, and time-series techniques to real-world problems and deploying AI solutions on cloud platforms for production use.
Language
English
Fluent
Work Experience
AI/ML Engineer / Gen AI/LLM Specialist | Agentic AI Developer at Epic Systems
May 1, 2024 - PresentLed the development of an AI-powered real-time underwriting and adaptive pricing system, delivering personalized risk insights and improving efficiency. Built models (XGBoost, LightGBM, LSTM) for claim frequency, churn, and time-series forecasting; applied CNNs (ResNet-50) for image-based claims to automate damage detection. Created end-to-end MLOps pipelines with Kubeflow Pipelines, Vertex Pipelines, and Airflow for scalable data processing. Implemented microservices (FastAPI/Flask) for low-latency inference and integrated with enterprise APIs. Deployed models on Google Vertex AI and AutoML, and maintained vector databases (FAISS, Pinecone, Weaviate) for RAG-driven reasoning. Fine-tuned open-source LLMs (LLaMA, Falcon, Mistral) and used Gemini/Claude APIs for domain adaptation in insurance tasks. Orchestrated distributed systems with Kubernetes/Docker, enabling real-time fraud detection and underwriting predictions. Built RAG architectures and semantic knowledge graphs with Neo4j and
AI/ML Engineer at ZenQ
March 1, 2022 - July 1, 2023Led AI/ML initiatives across NLP, sentiment analysis, and demand forecasting. Implemented dynamic percentile scoring integrated with Tableau dashboards to monitor recurring customer service incidents in real time. Built and deployed ML models (Random Forest, GBM, SVM) for demand forecasting, inventory optimization, and logistics. Integrated multiple data sources to create a 360-degree customer view and supported real-time decision-making with Apache Kafka. Built scalable Dockerized models and used Hadoop/PySpark in AWS for large-scale analyses. Pioneered Generative AI initiatives with GANs for synthetic data to bolster model robustness. Explored GNNs for enhanced fraud detection and implemented CNNs for image-based product recognition. Worked on real-time streaming, IoT analytics, and cloud-based model management with BigQuery and Azure ML. Implemented clustering (K-means, PCA) for customer segmentation, and performed hyperparameter tuning via GridSearch/RandomSearch. Led store analyti
Education
Master of Science in Computer Science at Pace University
January 11, 2030 - January 27, 2026Bachelor of Computer Science Engineering at Usha Rama College of Engineering and Technology
January 11, 2030 - January 27, 2026Qualifications
SnowPro Core Certification
January 11, 2030 - January 27, 2026Databricks Certified Generative AI Engineer Associate
January 11, 2030 - January 27, 2026AWS Certified Machine Learning – Specialty
January 11, 2030 - January 27, 2026Industry Experience
Financial Services, Healthcare, Software & Internet, Telecommunications, Retail
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