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I'm an AI/ML engineer with 3 years of experience building end-to-end AI/ML solutions across healthcare, geospatial, and financial domains. I thrive on turning ideas into production-ready systems using Python, PyTorch, TensorFlow, and YOLOv8, with a focus on robust model deployment via Flask, FastAPI, Docker, and CI/CD. I have hands-on experience with ETL pipelines, feature engineering, and experiment tracking with MLflow and DVC. I enjoy integrating modern front-end tech (React/Next.js) with real-time APIs, optimizing GPU pipelines, and using GenAI/LLMs with RAG, LangChain, and vector databases to build production-grade AI systems.…I'm an AI/ML engineer with 3 years of experience building end-to-end AI/ML solutions across healthcare, geospatial, and financial domains. I thrive on turning ideas into production-ready systems using Python, PyTorch, TensorFlow, and YOLOv8, with a focus on robust model deployment via Flask, FastAPI, Docker, and CI/CD. I have hands-on experience with ETL pipelines, feature engineering, and experiment tracking with MLflow and DVC. I enjoy integrating modern front-end tech (React/Next.js) with real-time APIs, optimizing GPU pipelines, and using GenAI/LLMs with RAG, LangChain, and vector databases to build production-grade AI systems.

Vishesh Saluja

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

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I'm an AI/ML engineer with 3 years of experience building end-to-end AI/ML solutions across healthcare, geospatial, and financial domains. I thrive on turning ideas into production-ready systems using Python, PyTorch, TensorFlow, and YOLOv8, with a focus on robust model deployment via Flask, FastAPI, Docker, and CI/CD. I have hands-on experience with ETL pipelines, feature engineering, and experiment tracking with MLflow and DVC. I enjoy integrating modern front-end tech (React/Next.js) with real-time APIs, optimizing GPU pipelines, and using GenAI/LLMs with RAG, LangChain, and vector databases to build production-grade AI systems.…I'm an AI/ML engineer with 3 years of experience building end-to-end AI/ML solutions across healthcare, geospatial, and financial domains. I thrive on turning ideas into production-ready systems using Python, PyTorch, TensorFlow, and YOLOv8, with a focus on robust model deployment via Flask, FastAPI, Docker, and CI/CD. I have hands-on experience with ETL pipelines, feature engineering, and experiment tracking with MLflow and DVC. I enjoy integrating modern front-end tech (React/Next.js) with real-time APIs, optimizing GPU pipelines, and using GenAI/LLMs with RAG, LangChain, and vector databases to build production-grade AI systems.

Available to hire

I’m an AI/ML engineer with 3 years of experience building end-to-end AI/ML solutions across healthcare, geospatial, and financial domains. I thrive on turning ideas into production-ready systems using Python, PyTorch, TensorFlow, and YOLOv8, with a focus on robust model deployment via Flask, FastAPI, Docker, and CI/CD.

I have hands-on experience with ETL pipelines, feature engineering, and experiment tracking with MLflow and DVC. I enjoy integrating modern front-end tech (React/Next.js) with real-time APIs, optimizing GPU pipelines, and using GenAI/LLMs with RAG, LangChain, and vector databases to build production-grade AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

AI/ML Engineer at College of Public Health, GMU

June 1, 2025 - Present

HIPAA-compliant backend using FastAPI and secure cloud storage to ingest and preprocess real-time bruise-imaging data, reducing manual handling errors by 30%. Developed a YOLOv8-based bruise detection and segmentation pipeline, improving robustness and reducing false negatives by 15%. Integrated a Unity 3D body model with API-driven workflows for automatic mapping of detected injuries, enhancing visualization accuracy. Built a lightweight AI-assisted clinical summary module leveraging LLMs and React/Next.js interfaces for real-time predictions, 3D mappings, and summaries. Implemented evaluation pipelines with precision, recall, F1, IoU, and threshold calibration to ensure consistent performance across imaging scenarios.

AI/ML Engineer & Research Assistant at Geoweaver – NASA/ESIP

February 1, 2024 - October 1, 2024

Designed scalable ETL pipelines with PostgreSQL and Python for ingestion and preprocessing of large satellite datasets; built geospatial ML pipelines for Snow and Ozone Estimation; implemented GPU-accelerated preprocessing; executed climate workflows on the Hopper supercomputer achieving ~20-25% performance gains; built an interactive React-based in-app code editor with SpringBoot to streamline workflow editing; introduced Vitest-driven automated testing and CI checks to improve code stability; applied statistical analyses to validate ML predictions for Earth science research.

AI/ML Engineer at Capgemini, India

November 1, 2021 - July 1, 2023

Engineered scalable ETL pipelines with MySQL, AWS S3, Python to clean and structure large-scale banking datasets; performed feature engineering, anomaly detection, and clustering; built predictive fraud models using XGBoost and Scikit-learn, achieving improvements in detection; deployed models via Flask APIs, Docker, and GitHub Actions for CI/CD; developed dynamic Power BI dashboards for risk monitoring; managed end-to-end experiment tracking with MLflow and DVC; validated pipelines with PyTest to ensure reproducible results.