Yaswitha Ramisetty
AI / Machine Learning Engineer
Dallas, TX 75234 · yaswirami29@gmail.com · +1 214 997 5560 · linkedin.com/in/yramisetty · github.com/Yaswitha20
Profile Summary
Senior AI/ML Engineer with 4+ years of experience building production-grade AI systems, LLM-powered applications, RAG platforms, and multi-agent workflows across banking, healthcare, and enterprise domains. Strong expertise in LangChain, LangGraph, PyTorch, FastAPI, AWS, Azure, GCP, and vector databases, spanning data engineering, model development, fine-tuning (PEFT/LoRA), deployment, and MLOps/LLMOps.
Technical Skills
- Languages: Python, SQL, R, Java, C#, JavaScript, TypeScript
- Generative AI: OpenAI, LangChain, LangGraph, LlamaIndex, RAG, Fine-Tuning, PEFT/LoRA, AI Agents
- ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM
- Vector DBs: Azure AI Search, Qdrant, FAISS, Pinecone, ChromaDB
- Data Engineering: Apache Spark, PySpark, Databricks, Kafka, Airflow
- MLOps: MLflow, Kubeflow, Docker, Kubernetes, FastAPI, CI/CD
- Cloud: AWS SageMaker/Bedrock, GCP Vertex AI/BigQuery, Azure AI Foundry/AKS
Experience
AI / Machine Learning Engineer · Comerica, Dallas, TX
Jan 2026 to Present- Engineered fraud detection, risk scoring, and financial forecasting models across 20M+ banking transactions, improving AUC-ROC by 15 points.
- Architected Spark-based data platforms processing 10TB+ of financial data, reducing processing time by 40%.
- Fine-tuned domain-specific LLMs using LoRA/PEFT and Hugging Face, improving classification accuracy by 22%.
- Built enterprise RAG platforms with LangChain, LangGraph, FAISS and Pinecone across 500K+ financial documents, cutting retrieval time by 60%.
- Deployed multi-agent AI systems on AWS SageMaker/EC2/Lambda, eliminating 150+ manual hours weekly.
Machine Learning Engineer · Dell, Round Rock, TX
Apr 2025 to Dec 2025- Built forecasting and optimization models improving forecasting accuracy by 20% across global supply-chain operations.
- Engineered data pipelines processing 15TB+ using Spark, Databricks, Kafka, and Hadoop.
- Used GCP Vertex AI and BigQuery alongside AWS SageMaker, cutting model experimentation cycle time by 30%.
- Architected GenAI/RAG solutions enabling citation-grounded search across 250K+ documents.
Data Scientist · South Indian Bank, Hyderabad, India
Apr 2023 to Jun 2024- Analyzed 50M+ customer and transaction records for risk, lending, and portfolio analytics.
- Developed ML models for fraud detection and loan default prediction, improving prediction accuracy by 18%.
Data Scientist · GeBBS Healthcare Solutions, Hyderabad, India
Oct 2021 to Mar 2023- Built predictive analytics across 20M+ EHR, claims, and patient records, improving risk prediction accuracy by 15%.
- Delivered HIPAA-compliant analytics and executive dashboards across 15+ healthcare facilities.
Education
Master of Science in Computer Science · Texas Tech University, Lubbock, TX
Certifications
- Google Cloud Professional Machine Learning Engineer
- AWS Certified Cloud Practitioner
- IBM AI Engineering Professional Certificate
- DeepLearning.AI Deep Learning Specialization
- Udemy AI Engineer Core Certification