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I’m Sarishma, a Senior AI/ML Engineer with 9+ years of experience designing and scaling machine learning platforms across finance, healthcare, and government. I specialize in end-to-end ML pipelines, GenAI, LLMs, and cloud-native MLOps, with hands-on work on Vertex AI Pipelines, SageMaker Pipelines, and vector databases to enable enterprise-grade knowledge retrieval and content generation. I’m a mentor who guides junior engineers on best practices in MLOps, prompt engineering, and LLM-centric software development. I enjoy building modular prompt layers with LangChain and PromptLayer, architecting retrieval-augmented generation systems, and delivering observable, governance-driven AI solutions that scale across multi-environment deployments.…I’m Sarishma, a Senior AI/ML Engineer with 9+ years of experience designing and scaling machine learning platforms across finance, healthcare, and government. I specialize in end-to-end ML pipelines, GenAI, LLMs, and cloud-native MLOps, with hands-on work on Vertex AI Pipelines, SageMaker Pipelines, and vector databases to enable enterprise-grade knowledge retrieval and content generation. I’m a mentor who guides junior engineers on best practices in MLOps, prompt engineering, and LLM-centric software development. I enjoy building modular prompt layers with LangChain and PromptLayer, architecting retrieval-augmented generation systems, and delivering observable, governance-driven AI solutions that scale across multi-environment deployments.

Sarishma

Data Scientist, AI Engineer, Full Stack Developer, +2

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I’m Sarishma, a Senior AI/ML Engineer with 9+ years of experience designing and scaling machine learning platforms across finance, healthcare, and government. I specialize in end-to-end ML pipelines, GenAI, LLMs, and cloud-native MLOps, with hands-on work on Vertex AI Pipelines, SageMaker Pipelines, and vector databases to enable enterprise-grade knowledge retrieval and content generation. I’m a mentor who guides junior engineers on best practices in MLOps, prompt engineering, and LLM-centric software development. I enjoy building modular prompt layers with LangChain and PromptLayer, architecting retrieval-augmented generation systems, and delivering observable, governance-driven AI solutions that scale across multi-environment deployments.…I’m Sarishma, a Senior AI/ML Engineer with 9+ years of experience designing and scaling machine learning platforms across finance, healthcare, and government. I specialize in end-to-end ML pipelines, GenAI, LLMs, and cloud-native MLOps, with hands-on work on Vertex AI Pipelines, SageMaker Pipelines, and vector databases to enable enterprise-grade knowledge retrieval and content generation. I’m a mentor who guides junior engineers on best practices in MLOps, prompt engineering, and LLM-centric software development. I enjoy building modular prompt layers with LangChain and PromptLayer, architecting retrieval-augmented generation systems, and delivering observable, governance-driven AI solutions that scale across multi-environment deployments.

Available to hire

I’m Sarishma, a Senior AI/ML Engineer with 9+ years of experience designing and scaling machine learning platforms across finance, healthcare, and government. I specialize in end-to-end ML pipelines, GenAI, LLMs, and cloud-native MLOps, with hands-on work on Vertex AI Pipelines, SageMaker Pipelines, and vector databases to enable enterprise-grade knowledge retrieval and content generation.

I’m a mentor who guides junior engineers on best practices in MLOps, prompt engineering, and LLM-centric software development. I enjoy building modular prompt layers with LangChain and PromptLayer, architecting retrieval-augmented generation systems, and delivering observable, governance-driven AI solutions that scale across multi-environment deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

GenAI Engineer at Raymond James

December 1, 2024 - Present

Architected an enterprise-scale Generative AI platform leveraging LLMs, vector search technologies, and multi-modal frameworks to revolutionize financial document processing, retrieval-augmented generation, organizational knowledge systems, and protected content creation workflows. Designed enterprise-grade RAG architectures with LangChain and Vertex AI, processed embeddings, and deployed LLMs for large-scale knowledge extraction and automated document synthesis. Built CI/CD templates for ML workflows using GitHub Actions, explored knowledge graph enrichments with vector databases, optimized foundation models (LLaMA2, Mistral, Gemini) via Hugging Face Transformers and PaLM API, and built high-performance vector retrieval systems using FAISS, Pinecone, and Weaviate. Established monitoring with Prometheus and Grafana on GKE, deployed enterprise model serving with BentoML and KServe, and coordinated Ray-based parallel pipelines for document summarization and QA. Centralized prompt enginee

Senior ML Engineer at State of Vermont

December 1, 2024 - October 15, 2025

Built a cloud-native ML platform delivering real-time health analytics, predictive disease surveillance, and statewide resource management. Implemented SageMaker Pipelines and Vertex AI Pipelines, plus Argo and Airflow for automated training, validation, and deployment. Established Feast for feature management, MLflow for lifecycle tracking, and GPU-enabled inference on EKS with Triton/TensorFlow Serving. Facilitated secure API access with FastAPI + OAuth2, and implemented data governance via DVC with GitOps. Added SHAP/LIME interpretability, comprehensive observability with AWS CloudWatch, and dynamic EKS GPU scaling. Drove comprehensive platform documentation and governance, and mentored junior engineers in MLOps best practices.

ML Platform Engineer at Mantech

August 1, 2022 - October 15, 2025

Built a hardened, reproducible ML platform for secure government analytics, enabling end-to-end model lifecycle management, version control, and automated workflows. Implemented DVC + Git integration for dataset/version control, MLflow for experiment tracking, and deployed SageMaker Inference Endpoints. Led containerized deployment on AWS EKS with Jenkins migration, and orchestrated training/inference with Kubernetes. Developed secure FastAPI endpoints, emphasized Jupyter-based experimentation, and produced comprehensive platform documentation and governance.

Data Scientist – NLP Focus at Virtusa Corporation

September 1, 2020 - October 15, 2025

Developed NLP processing pipelines using spaCy and NLTK for named entity recognition and keyphrase extraction from complex legal documents. Built text representations with TF-IDF and Word2Vec, and deployed Scikit-learn-based classifiers for intelligent categorization. Enhanced preprocessing with regex normalization, created RESTful APIs with Flask, and ensured reproducible NLP workflows with version control. Performed large-scale text processing with PySpark and contributed to data exploration and visualization.

Jr. Data Scientist I at Persistent Systems

May 1, 2018 - October 15, 2025

Engineered data processing frameworks with Pandas/NumPy for robust preprocessing of multi-source datasets. Built predictive analytics using Scikit-learn, automating SQL-based data ingestion for retraining. Developed interactive Tableau dashboards and Excel reports to visualize model outcomes, implemented feature encoding and scaling, and performed statistical analysis with Python and R. Maintained reproducible workflows with Git and automated reporting scripts.