Bindhu Teja Inguva
AI Engineer
5+ years exp
5+ years ML exp
Scala
Java
SQL
Python
Active 5 days ago
+1 (612) 5521409
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Overview
Technical skills
Timeline
Roles
Overview
AI Engineer with 5+ years of experience building enterprise GenAI and agentic solutions across banking and healthcare, with a focus on RAG, vector retrieval, and model evaluation. Hands-on in MLOps and deployment workflows using MLflow, Docker, and Kubernetes, plus development of multi-sensor and multimodal machine learning pipelines for time-series and document understanding. Experienced delivering production-ready AI services and monitoring for regulated environments.
Technical skills
Scala
Java
SQL• Junior • 5y+
Python• Junior
Python
Flask
pySpark
FastAPI• 5y+
Databases
Apache Kafka
DynamoDB
FAISS
Databricks• 3y+
Pinecone
AI/ML
Airflow
AutoGen
AWS Bedrock
Claude
Computer Vision
Fine-tuning
Gemini
Hallucination
LLM
Multimodal AI
NLP
OpenCV
Prophet
PyTorch Lightning
Spark
Streamlit
Synthetic Data
Time Series Forecasting
Torchvision
XGBoost
YOLO
NumPy• 5y+
Pandas• 5y+
PyTorch• 5y+
Scikit-learn• 5y+
TensorFlow• 5y+
LangChain• 3y+
MLFlow• 3y+
Transformers• 3y+
LangGraph
Embeddings
Prompt Engineering
RAG
BERT
Explainable AI
LIME
NLTK
SHAP
Mobile
MVP• 3y+
DevOps
Amazon EKS
AWS
AWS Lambda
Azure
Azure AKS
CI/CD
Git
Prometheus
SLURM
Terraform
Vector
Rest API
Docker• 5y+
GitHub Actions• 5y+
Grafana• 5y+
Kubernetes• 5y+
Cybersecurity
HIPAA
Analytics
Power BI
Timeline
AI Engineer
•
Middle
Grand Bank of Texas
•
Full-Time
Built GenAI assistants for enterprise banking workflows using LangChain with RAG and Azure OpenAI to improve retrieval and answer quality. Implemented vector search pipelines with Pinecone, embeddings, and prompt grounding to reduce hallucinations in daily financial reviews. Deployed auditable models with MLflow, Docker, and Kubernetes and added evaluation and monitoring (regression checks and LLM-as-judge) for regulated decision support.
LangChain
RAG
Pinecone
Embeddings
Prompt Engineering
MLFlow
Docker
Kubernetes
AI Engineer
•
Middle
MVP Healthcare
•
Full-Time
Modernized the development workflow using Python tooling and version control to reduce integration issues and speed up feature delivery. Built multi-sensor fusion for telemetry time series, using synthetic data to improve training efficiency, and integrated multimodal deep learning to raise predictive accuracy in operational deployments. Developed healthcare data pipelines with FHIR and Azure Databricks, optimized document classification with Hugging Face Transformers and PyTorch, and implemented evaluation with MLflow and conversational workflows with LangGraph and APIs.
Databricks
Transformers
PyTorch
MLFlowsince 2023
LangGraph
LangChainsince 2023
Machine Learning Engineer
•
Middle
Fusiontec Software
•
Full-Time
Developed ML pipelines for processing Wi-Fi and acoustic data streams to improve real-time analytics performance and reduce interaction latency. Engineered time-series foundation model deployment for sensor data integration with high reliability and improved observability. Built reusable ML services and APIs with FastAPI, and created feature engineering workflows using Pandas, NumPy, and SQL. Streamlined CI/CD with GitHub Actions, Docker, and Kubernetes, and used TensorFlow, PyTorch, and Grafana for performance tuning and monitoring.
FastAPI
Scikit-learn
Pandas
NumPy
SQL
GitHub Actions
Dockersince 2021
Kubernetessince 2021
Grafana
TensorFlow
PyTorchsince 2021
Concordia University
Master's Degree •
Information Technology and Management