I build AI-Driven business solutions delivering measurable results.
Building intelligent systems solving real business problems.
I’m Rishi Sud, a Senior Full Stack AI/ML Engineer with 9+ years of experience building intelligent systems that deliver measurable results. I specialize in turning complex data into actionable insights, automating workflows, and deploying scalable AI solutions that drive growth across industries.
Over the years, I’ve helped companies like Consumer Reports, Toyota, and Cross Country Healthcare optimize operations, improve AI model performance, and reduce costs. My expertise spans AI/ML model development, cloud architecture (AWS, Azure, GCP), MLOps, full-stack engineering, and data-driven business strategy.
I’m passionate about creating solutions that bridge the gap between cutting-edge technology and real-world business outcomes. Whether it’s improving model accuracy, accelerating system performance, or designing intelligent automation, I thrive on turning challenges into opportunities for growth.
When I’m not architecting AI pipelines or coding scalable solutions, I enjoy mentoring teams, exploring the latest AI innovations, and finding creative ways to solve problems.
Let’s turn data into strategies that work and build systems that make an impact.
My key areas of expertise.
I specialize in AI/ML engineering, full-stack development, and cloud architecture, helping businesses turn complex data into actionable, scalable solutions. With 9+ years of experience across industries, I design intelligent systems that improve accuracy, reduce costs, and accelerate growth — from deploying large language models and MLOps pipelines to building high-performance APIs and automation workflows.
AI & Machine Learning
- Large Language Models (LLMs), RNNs, CNNs, and Deep Learning
- Retrieval-Augmented Generation (RAG) pipelines
- Predictive Modeling, Reinforcement Learning, Feature Engineering
- Fine-tuning, Multi-Model Deployment, Prompt Engineering
- Data Mining, Statistical Modeling, Model Monitoring & Versioning
Cloud & MLOps
- AWS (SageMaker, Databricks, Bedrock, EC2, S3), Azure, GCP
- Serverless Computing, Containerization (Docker, Kubernetes)
- CI/CD Pipelines, MLflow, Apache Airflow, Prefect, Dagster
- Model Serving, Experiment Tracking, Feature Stores
- Cloud Security, IAM, VPC, High Availability Architecture
Full-Stack & Backend Engineering
- Python, C++, JavaScript/TypeScript, React, Django, Flask, Node, Next.js, NestJS
- RESTful APIs, gRPC, Microservices, FastAPI
- SQL & NoSQL Databases, Redshift, S3, PostgreSQL
- Data Pipeline & ETL Development
Business & Strategy
- AI Governance & Compliance
- Data-Driven Decision Making & Analytics
- Workflow Automation & Process Optimization
- Scalable Solution Architecture & Cloud Optimization
- Cross-Functional Team Leadership & Mentorship
I have had the privilege of working with these incredible brands.
I’ve had the opportunity to work with a diverse range of organizations — from global enterprises to data-driven startups — helping them harness AI, automation, and cloud technologies to solve real business challenges. My clients span industries including automotive, healthcare, media, and technology, with collaborations that have improved efficiency, optimized data workflows, and accelerated innovation.
Some of the brands I’ve partnered with include Consumer Reports, Toyota, Cross Country Healthcare, Futurewei Technologies, and Capgemini, delivering measurable results through intelligent engineering and strategic AI implementation.