Bhanuja A

About

•Accomplished Senior Python / AI-ML Engineer with 10+ years of experience designing, developing, and deploying scalable backend systems, AI/ML platforms, and cloud-native applications across financial services, healthcare, telecom, and insurance domains. •Strong expertise in Python, FastAPI, Django, Flask, and asynchronous RESTful API development for high-performance, secure, and data-driven applications. •Proven experience architecting AI/ML and LLM-based solutions, including RAG (Retrieval-Augmented Generation) pipelines using Azure Cognitive Search, Cosmos DB Graph, Apache Gremlin, and NLP frameworks for enterprise knowledge retrieval and analytics. •Extensive hands-on experience with Azure, AWS, and GCP, delivering cloud-native solutions using Cosmos DB, Azure Functions, App Service, Data Factory, EC2, S3, RDS, BigQuery, and Dataflow. •Expertise in NoSQL and relational databases, including Azure Cosmos DB, MongoDB, PostgreSQL, MySQL, Oracle, DynamoDB, with strong skills in data modeling, indexing, query optimization, and graph databases. •Highly skilled in MLOps practices, including automated model training, versioning, CI/CD pipelines, containerization, monitoring, and scalable deployment using Docker, Kubernetes, Jenkins, CloudFormation, Terraform, and CodePipeline. •Strong background in data analysis and feature engineering using NumPy, Pandas, SciPy, Jupyter, enabling advanced analytics, NLP preprocessing, and ML model evaluation. •Experienced in event-driven architectures and messaging systems such as Kafka, ActiveMQ, SQS, SNS, supporting distributed and real-time AI/ML workflows. •Proficient in logging, monitoring, and observability using ELK Stack, CloudWatch, Grafana/Graphite, ensuring production-grade reliability and performance. •Collaborative team player with strong experience working in Agile/Scrum environments, partnering with React/Angular frontend teams, product owners, and cross-functional stakeholders to deliver enterprise-scale solutions.

Country

City

United States

Industry

Computer Software

Skill

ML Infrastructure & Forecasting, Facebook Prophet, Resource Prediction Models, Anomaly Detection (Isolation Forest, DBSCAN), Time Series Modeling, Infrastructure-Aware ML, APIs & Deployment, FastAPI, Flask, Docker Compose, Real-Time Inference Serving, Microservice Architecture, Microservices, Data Engineering & Pipelines, Apache Spark, PySpark, Kafka Streams, Log Parsing & Preprocessing, Event-Driven Processing, Monitoring & Visualization

Education

University of North Texas

Computer Science

2023-8 - 2025-5 · 1 yr 10 mos

Completed a rigorous graduate program with a strong focus on Machine Learning, Big Data, Data Science, and Systems Engineering, maintaining a perfect 4.0 GPA throughout the program. Key Coursework: Machine Learning Big Data & Data Science Advanced Algorithms Software Engineering Database Systems Operating Systems Design Computer Networks Secure E-Commerce Thesis: “Audo-Sight: Enabling Ambient Interaction for Blind and Visually Impaired Individuals” Designed and implemented an assistive system focused on accessibility and human-centered computing. Successfully defended thesis and completed final submission, demonstrating strong research, problem-solving, and system design skills. Graduated in Good Academic Standing, with Degree Plan Approval and Oral Defense Passed, reflecting consistency, discipline, and academic excellence.