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I am an AI/ML engineer with 6+ years of experience designing and deploying large-scale AI solutions across NLP, computer vision, and multimodal models in enterprise settings. I focus on LLMs, diffusion models, MLOps, and scalable API deployment across AWS, Azure, and GCP. I enjoy turning complex business problems into robust, governance-friendly AI workflows, leading cross-functional teams, and mentoring junior engineers while delivering reliable, low-latency production systems.…I am an AI/ML engineer with 6+ years of experience designing and deploying large-scale AI solutions across NLP, computer vision, and multimodal models in enterprise settings. I focus on LLMs, diffusion models, MLOps, and scalable API deployment across AWS, Azure, and GCP. I enjoy turning complex business problems into robust, governance-friendly AI workflows, leading cross-functional teams, and mentoring junior engineers while delivering reliable, low-latency production systems.

Muni Balaji

AI Engineer, Data Scientist, AI Developer, +2

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I am an AI/ML engineer with 6+ years of experience designing and deploying large-scale AI solutions across NLP, computer vision, and multimodal models in enterprise settings. I focus on LLMs, diffusion models, MLOps, and scalable API deployment across AWS, Azure, and GCP. I enjoy turning complex business problems into robust, governance-friendly AI workflows, leading cross-functional teams, and mentoring junior engineers while delivering reliable, low-latency production systems.…I am an AI/ML engineer with 6+ years of experience designing and deploying large-scale AI solutions across NLP, computer vision, and multimodal models in enterprise settings. I focus on LLMs, diffusion models, MLOps, and scalable API deployment across AWS, Azure, and GCP. I enjoy turning complex business problems into robust, governance-friendly AI workflows, leading cross-functional teams, and mentoring junior engineers while delivering reliable, low-latency production systems.

Available to hire

I am an AI/ML engineer with 6+ years of experience designing and deploying large-scale AI solutions across NLP, computer vision, and multimodal models in enterprise settings. I focus on LLMs, diffusion models, MLOps, and scalable API deployment across AWS, Azure, and GCP.

I enjoy turning complex business problems into robust, governance-friendly AI workflows, leading cross-functional teams, and mentoring junior engineers while delivering reliable, low-latency production systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Truist Financial

December 1, 2023 - Present

Built text-to-image and text-to-video pipelines using Stable Diffusion and ControlNet for automated enterprise content generation. Automated model retraining pipelines with MLflow, Kubernetes, and CI/CD to reduce deployment time from weeks to days. Productionized multimodal pipelines for scalable automation, integrating NLP, computer vision, and speech models for document intelligence and conversational enterprise apps. Implemented RLHF and prompt engineering to align outputs with governance needs. Designed RAG pipelines using Pinecone, Weaviate, and FAISS for domain-specific retrieval. Established AI safety and governance practices aligning with GDPR, HIPAA, and ISO 27001, with real-time monitoring of drift and compliance.

ML Engineer at Vanguard

October 1, 2021 - November 30, 2023

Designed scalable ML pipelines for classification, regression, and recommendation; built real-time inference APIs using FastAPI/Flask; implemented MLOps with MLflow, Kubeflow, Docker, and Kubernetes; developed automated feature engineering with PySpark; applied SHAP/LIME/ELI5 explainability; integrated AWS SageMaker, GCP Vertex AI, and Azure ML for distributed training; implemented hyperparameter optimization; built data versioning and experiment tracking with DVC and MLflow; designed real-time streaming pipelines with Kafka, Spark Streaming, and Flink; built vector search with FAISS and Pinecone for semantic search and recommendations; deployed across cloud environments.

Data Scientist at Trinity Health Care

January 1, 2020 - October 31, 2021

Designed predictive ML models for claims automation, fraud detection, and risk prediction in healthcare workflows; built scalable data pipelines to process EHR, clinical notes, and claims data with PySpark; applied NLP techniques (NER, topic modeling, text classification) for document intelligence; deployed real-time and batch inference pipelines using Kafka, Spark Streaming, and Flink; ensured HIPAA compliance, RBAC, audit logging, and secure data access; developed MLOps practices including model versioning, monitoring, and retraining; collaborated with product, clinical SMEs, and engineering teams in Agile environments.