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I am a results-driven AI/ML engineer with 6+ years of experience designing, developing, and deploying enterprise AI applications. I specialize in Python, end-to-end AI systems, LLM-powered solutions, RAG pipelines, semantic search, embeddings, vector databases, and real-time inference APIs. I have hands-on experience architecting MCP-style frameworks that enable structured communication between LLMs, tools, memory, and external systems for scalable AI deployments. I enjoy building scalable, compliant solutions across healthcare and financial services, leveraging MLOps, cloud platforms, and agentic AI to empower cross-functional teams. I thrive in collaborative environments and am passionate about transparent AI with strong observability, security, and maintainability baked into every project.…I am a results-driven AI/ML engineer with 6+ years of experience designing, developing, and deploying enterprise AI applications. I specialize in Python, end-to-end AI systems, LLM-powered solutions, RAG pipelines, semantic search, embeddings, vector databases, and real-time inference APIs. I have hands-on experience architecting MCP-style frameworks that enable structured communication between LLMs, tools, memory, and external systems for scalable AI deployments. I enjoy building scalable, compliant solutions across healthcare and financial services, leveraging MLOps, cloud platforms, and agentic AI to empower cross-functional teams. I thrive in collaborative environments and am passionate about transparent AI with strong observability, security, and maintainability baked into every project.

Shrushti Gupta

AI Engineer, Data Scientist, Data Analyst, +2

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I am a results-driven AI/ML engineer with 6+ years of experience designing, developing, and deploying enterprise AI applications. I specialize in Python, end-to-end AI systems, LLM-powered solutions, RAG pipelines, semantic search, embeddings, vector databases, and real-time inference APIs. I have hands-on experience architecting MCP-style frameworks that enable structured communication between LLMs, tools, memory, and external systems for scalable AI deployments. I enjoy building scalable, compliant solutions across healthcare and financial services, leveraging MLOps, cloud platforms, and agentic AI to empower cross-functional teams. I thrive in collaborative environments and am passionate about transparent AI with strong observability, security, and maintainability baked into every project.…I am a results-driven AI/ML engineer with 6+ years of experience designing, developing, and deploying enterprise AI applications. I specialize in Python, end-to-end AI systems, LLM-powered solutions, RAG pipelines, semantic search, embeddings, vector databases, and real-time inference APIs. I have hands-on experience architecting MCP-style frameworks that enable structured communication between LLMs, tools, memory, and external systems for scalable AI deployments. I enjoy building scalable, compliant solutions across healthcare and financial services, leveraging MLOps, cloud platforms, and agentic AI to empower cross-functional teams. I thrive in collaborative environments and am passionate about transparent AI with strong observability, security, and maintainability baked into every project.

Available to hire

I am a results-driven AI/ML engineer with 6+ years of experience designing, developing, and deploying enterprise AI applications. I specialize in Python, end-to-end AI systems, LLM-powered solutions, RAG pipelines, semantic search, embeddings, vector databases, and real-time inference APIs. I have hands-on experience architecting MCP-style frameworks that enable structured communication between LLMs, tools, memory, and external systems for scalable AI deployments.
I enjoy building scalable, compliant solutions across healthcare and financial services, leveraging MLOps, cloud platforms, and agentic AI to empower cross-functional teams. I thrive in collaborative environments and am passionate about transparent AI with strong observability, security, and maintainability baked into every project.

Skills

Experience Level

Expert

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Expert

Language

English

Fluent

Work Experience

Python AI/ML Engineer at Healthfirst

January 1, 2025 - Present

Designed and deployed AI-driven healthcare applications with human-in-the-loop workflows; authored end-to-end AI solution architecture documents detailing RAG pipelines, secure PHI data flows, API integrations, and agentic AI orchestration for scalable health IT platforms. Implemented scalable ML/AI models in Python, and deployed via containerized environments (Docker/Kubernetes). Developed LangChain-based agent orchestration frameworks, a custom tool registry for healthcare-specific tools (clinical search, prescription validation, document retrieval), and implemented LLM observability using LangSmith and custom telemetry to track performance and reduce hallucinations. Integrated vector databases (e.g., PGVector, Pinecone) with LLM frameworks for semantic search, created RESTful APIs with FastAPI, and automated infrastructure with Terraform and CloudFormation. Designed end-to-end MLOps pipelines for training, validation, and deployment; enabled federated AI deployment across healthcare

Python AIML Engineer at SouthState Bank

October 1, 2023 - December 1, 2024

Developed and deployed scalable Python applications on Google Cloud Platform; designed and optimized enterprise data pipelines on Databricks and Snowflake to process high-volume banking transaction and customer data; built ML/DL models using PyTorch and TensorFlow; integrated LLM pipelines and RAG-based architectures for intelligent data retrieval and response generation; engineered automated data ingestion pipelines to parse complex XML and JSON datasets, streamlining the transfer of external partner data into Oracle databases; developed scalable applications integrating AI-powered fraud detection and customer-support workflows; built production AI evaluation frameworks for GenAI solutions including automated regression benchmarking and hallucination validation; implemented secure SDLC processes, IAM, and CI/CD; containerized with Docker and deployed on Kubernetes.

Python / Machine Learning Engineer at Meijer

December 1, 2022 - September 1, 2023

Gathered requirements, designed and deployed automated web tools to improve efficiency for the Global Trading Team; built data management systems with MySQL; wrote Python scripts for automation and testing; designed and implemented CI/CD pipelines for ML/AI models using Jenkins, GitLab CI, Azure DevOps, and ArgoCD; deployed ML models on Azure; monitored infrastructure with Splunk and Grafana; implemented NLP/LLM-based solutions using Transformers, Lang Chain, and Llama Index; designed AWS Lambda architectures for S3 data processing; developed PySpark-based ETL pipelines on Databricks with MLflow for experiment tracking and Databricks Workflows for orchestration.

Python Developer at Ramco Systems

January 1, 2020 - August 1, 2022

Developed views and templates for Django-based applications; built data management systems with MySQL; created real-time dashboards using Logstash, Graphite, Elasticsearch, Kibana, and Redis; wrote Python utilities to generate configuration properties and streamline deployment; performed data migration tasks and ensured robust unit testing with a test-driven approach; designed high-throughput RESTful APIs and integrated data processing pipelines; implemented PyQuery-based DOM parsing and automated testing scripts; contributed to migration and modernization efforts including Jira integration and issue tracking.