M
Mounika Devi
About
Detail
New Jersey, United States
Résumé
Jobs
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Senior AI/ML EngineerSpring HealthAug 2024 - Current (2 years)• Led end-to-end development and deployment of LLM-powered AI systems for behavioral health analytics, processing large-scale structured and unstructured patient interaction datasets. • Architected scalable RAG pipelines using vector search and embedding strategies, improving contextual retrieval accuracy by 35% across AI-assisted recommendation workflows. • Developed advanced NLP pipelines for intent extraction, sentiment analysis, summarization, and entity recognition, transforming unstructured healthcare text into actionable insights. • Built and optimized Generative AI workflows using LangChain, Hugging Face, and AWS Bedrock, enabling reliable tool-calling and multi-step reasoning capabilities. • Designed robust evaluation frameworks us- DData Scientist / ML EngineerDiscover FinancialMay 2023 - Jul 2024 (1 year 3 months)• Built and deployed machine learning models for customer behavior analysis, fraud detection, and operational optimization using Python, PyTorch, TensorFlow, and Scikit-learn. • Developed scalable NLP and Generative AI solutions for document classification, summarization, and conversational analytics using transformer-based architectures. • Designed and optimized real-time ML pipelines using Kafka, Spark, and NoSQL ecosystems, enabling low-latency prediction services at enterprise scale. • Conducted advanced experimentation and statistical analysis to validate model assumptions and improve predictive performance. • Improved model accuracy by 18% through advanced feature engineering and hyperparameter tuning strategies. • Automated model dep
- Machine Learning EngineerDeloitteOct 2020 - Dec 2022 (2 years 3 months)• Developed production-grade ML and NLP systems for enterprise analytics, recommendation engines, and intelligent search platforms. • Built scalable AI pipelines for data ingestion, preprocessing, model training, evaluation, and deployment across cloud-based environments. • Implemented transformer-based NLP models (BERT/GPT) for text classification, topic modeling, and semantic search applications. • Designed distributed ML workflows leveraging Spark and Databricks for large-scale data processing and feature engineering. • Led data mining initiatives to identify anomalies, behavioral patterns, and operational insights from multi-source enterprise datasets. • Improved model scalability and throughput through optimization of inference workflo
- SData Analyst InternSmarc TechnologiesMay 2020 - Sep 2020 (5 months)• Developed Python-based ETL and analytics workflows supporting ML experimentation and reporting automation. • Assisted in preprocessing and feature engineering for predictive analytics initiatives using large structured datasets. • Built data visualization dashboards and reporting solutions that improved operational reporting efficiency by 15%.
Education
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- Master's in Information Technology ManagementCampbellsville UniversityJan 2024
- Bachelor of Science in Computer Science & EngineeringVIGNAN UNIVERSITYJan 2022
- MLOps SpecializationDeeplearning.ai
- AAWS Cloud Practitioner
Projects (professional or personal)
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- EEnterprise NLP Search & Recommendation SystemBuilt semantic search and recommendation workflows using vector databases and transformer embeddings, improving relevance scoring and search accuracy by 28%.
- FFraud Detection & Behavioral Analytics EngineDesigned anomaly detection and predictive ML models processing streaming transaction data using Kafka and distributed inference pipelines.
- LLLM-Based Clinical Intelligence PlatformDeveloped a production-grade AI platform leveraging RAG architecture, vector embeddings, and transformer-based models to summarize and classify healthcare interactions in real time.