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Hello, I’m Vishwajeet Patil, a seasoned AI/ML Engineer with 12 years of experience designing and deploying ML solutions across AWS, Azure, and GCP. I excel in Python, PyTorch, TensorFlow, Vertex AI, and MLOps, with hands-on experience in GPU-based training, distributed computing, containerization, and building scalable AI pipelines using Airflow, Docker, and Kubernetes. I specialize in Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration with LangChain, LangGraph, AutoGen, and Cursor AI. I’ve deployed autonomous AI agents integrated with vector databases and external APIs, and I bring broad expertise in data architecture, real-time processing, model monitoring, and production-grade AI solutions spanning NLP, computer vision, and enterprise analytics.…Hello, I’m Vishwajeet Patil, a seasoned AI/ML Engineer with 12 years of experience designing and deploying ML solutions across AWS, Azure, and GCP. I excel in Python, PyTorch, TensorFlow, Vertex AI, and MLOps, with hands-on experience in GPU-based training, distributed computing, containerization, and building scalable AI pipelines using Airflow, Docker, and Kubernetes. I specialize in Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration with LangChain, LangGraph, AutoGen, and Cursor AI. I’ve deployed autonomous AI agents integrated with vector databases and external APIs, and I bring broad expertise in data architecture, real-time processing, model monitoring, and production-grade AI solutions spanning NLP, computer vision, and enterprise analytics.

Vishwajeet Patil

Data Scientist, AI Engineer, Cloud Developer, +3

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Hello, I’m Vishwajeet Patil, a seasoned AI/ML Engineer with 12 years of experience designing and deploying ML solutions across AWS, Azure, and GCP. I excel in Python, PyTorch, TensorFlow, Vertex AI, and MLOps, with hands-on experience in GPU-based training, distributed computing, containerization, and building scalable AI pipelines using Airflow, Docker, and Kubernetes. I specialize in Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration with LangChain, LangGraph, AutoGen, and Cursor AI. I’ve deployed autonomous AI agents integrated with vector databases and external APIs, and I bring broad expertise in data architecture, real-time processing, model monitoring, and production-grade AI solutions spanning NLP, computer vision, and enterprise analytics.…Hello, I’m Vishwajeet Patil, a seasoned AI/ML Engineer with 12 years of experience designing and deploying ML solutions across AWS, Azure, and GCP. I excel in Python, PyTorch, TensorFlow, Vertex AI, and MLOps, with hands-on experience in GPU-based training, distributed computing, containerization, and building scalable AI pipelines using Airflow, Docker, and Kubernetes. I specialize in Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration with LangChain, LangGraph, AutoGen, and Cursor AI. I’ve deployed autonomous AI agents integrated with vector databases and external APIs, and I bring broad expertise in data architecture, real-time processing, model monitoring, and production-grade AI solutions spanning NLP, computer vision, and enterprise analytics.

Available to hire

Hello, I’m Vishwajeet Patil, a seasoned AI/ML Engineer with 12 years of experience designing and deploying ML solutions across AWS, Azure, and GCP. I excel in Python, PyTorch, TensorFlow, Vertex AI, and MLOps, with hands-on experience in GPU-based training, distributed computing, containerization, and building scalable AI pipelines using Airflow, Docker, and Kubernetes.

I specialize in Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration with LangChain, LangGraph, AutoGen, and Cursor AI. I’ve deployed autonomous AI agents integrated with vector databases and external APIs, and I bring broad expertise in data architecture, real-time processing, model monitoring, and production-grade AI solutions spanning NLP, computer vision, and enterprise analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Science / AI Engineer at Merck

November 1, 2024 - Present

Engineered and deployed end-to-end predictive and classification models in production on AWS SageMaker, including data ingestion, preprocessing, modeling, evaluation, and monitoring. Built autonomous agents with LangGraph to orchestrate memory-backed reasoning workflows and integrated GenAI capabilities. Automated full ML lifecycle with Apache Airflow and PySpark and implemented GitLab CI/CD for model deployment and observability. Set up MCP servers and integrated external tools for scalable, secure AI agent workflows. Applied RLHF to align LLM outputs with human intent and developed multimodal systems with CLIP/BLIP for richer analytics.

Data Science / AI at Vanguard

February 1, 2022 - October 1, 2024

Designed and trained regression and forecasting models (Linear Regression, Random Forest, XGBoost, LightGBM, CatBoost) and time-series models (ARIMA/ARIMAX). Built autonomous agents with LangChain/HuggingFace for context-aware tasks; implemented vector search with FAISS and Qdrant; developed scalable microservices with Flask/FastAPI, integrated with GitHub Actions, Airflow, MLflow, and DVC for end-to-end MLOps. Managed Terraform-based cloud infra, containerized pipelines with Docker/Kubernetes, and created dashboards in Tableau/Power BI.

Data Scientist / AI Engineer at Fifth Third Bank

August 1, 2019 - January 1, 2022

Customized and fine-tuned NLP models for NLU with defined KPIs; developed classic ML models (Logistic Regression, Random Forest, Gradient Boosting, SVM, K-Means); built ETL/integration pipelines with SQL Server, PostgreSQL; delivered dashboards with Tableau/Matplotlib/Seaborn; created forecasting models achieving 90%+ accuracy for new product sales; supported model governance and explainability using SHAP.

SQL Developer at UBS

February 1, 2012 - December 1, 2015

Developed complex SQL queries, stored procedures, and data models for regulatory, finance, and customer reporting. Built data marts, optimized queries, and implemented ETL with SQL/Bash. Built enterprise data lake/data pipelines and ensured data security and disaster recovery; supported UAT and production validation; collaborated with stakeholders in agile environment.

Data Scientist at Elavance Health

March 1, 2016 - August 1, 2017

Assessed data analytics solutions, built dashboards in Tableau, created ML models across supervised/unsupervised/reinforcement learning; mentored colleagues and supported knowledge transfer; translated business requirements into technical specs; delivered predictive analytics for product and operations; data extraction from heterogeneous sources.

Data Scientist / ML Engineer at Key Bank

September 1, 2017 - July 1, 2019

Led IaC via Terraform, IAM, built an enterprise data lake; deployed ML/NLP pipelines within microservices; set up Jupyter notebooks; managed Docker/Kubeflow deployments; built dashboards; integrated with Jenkins CI/CD; collaborated with cross-functional teams.

Data Scientist / AI Engineer at Vanguard

February 1, 2022 - October 1, 2024

Designed, trained, and deployed regression and forecasting models (linear regression, random forest, gradient boosting) and time-series approaches; built autonomous agents with modular LLM workflows using LangChain and Hugging Face; developed prompt-driven frameworks with vector search and external APIs; created Python microservices for inference, containerized via Docker and Kubernetes; implemented GitHub Actions, Airflow, MLflow, and DVC for MLOps; deployed scalable APIs and configured Terraform-based cloud infrastructure; implemented vector search (FAISS/Qdrant) for semantic retrieval and built dashboards.