Rishi Chhabra
Hello 👋
I'm Rishi Chhabra
AI & Machine Learning Engineer
based in New York, NY.
Recent Accomplishments
Explore my portfolio of AI/ML projects, software applications, and innovative solutions
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⭐ Key Projects
My most impactful and showcase-worthy projects that demonstrate core expertise
End-to-End MLOps Pipeline
Fully automated ML workflow on AWS using Docker, Kubernetes, and Apache Airflow for CI/CD and orchestration with 60% reduction in deployment time.
LLM Fine-Tuning Pipeline on AWS
AWS-based pipeline to fine-tune large language models on domain-specific data using SageMaker for distributed training on GPU instances with spot instances and MLflow tracking.
Agentic RAG with Reasoning
RAG system combining retrieval with reasoning chains for improved factual accuracy using LangChain and Llama3.
Multimodal AI Assistant
Chatbot processing text and images using multimodal models (CLIP, Vision-LLM) for scene descriptions and visual question answering.
xAI Finance Agent
Autonomous agent leveraging financial datasets and LLM reasoning to provide market insights, portfolio optimization, and real-time risk assessment.
Advanced AI Agents Framework
Framework for scalable multi-agent orchestration, supporting autonomous task planning, delegation, and tool integration using LangChain and CrewAI.
Services.
AI, Machine Learning & Computer Vision
End-to-end model development with TensorFlow/PyTorch for computer vision (facial recognition, emotion detection), LLM fine-tuning, multimodal AI systems, on-device inference (TFLite/Core ML), and document intelligence using LLMs + OCR for summarization and data extraction.
Software Development
Full‑stack web and mobile application engineering with React/Next.js, Flutter, Node.js/Express, Python/FastAPI/Django/Flask, and TypeScript—clean architectures, automated testing (Jest/PyTest), performance tuning, and accessibility best practices.
Backend APIs & Cloud MLOps
Design and operate REST/GraphQL services, event-driven pipelines, model serving (FastAPI/TorchServe), MLOps with MLflow/Apache Airflow, feature stores, CI/CD for ML, monitoring/observability, and secure auth/analytics for production AI systems.
Cloud & DevOps (AWS/Azure)
AWS-first delivery: Serverless (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock), containers (Docker, ECS/EKS), IaC (CloudFormation/Terraform), CI/CD, Kubernetes, Azure AI services, and comprehensive monitoring for scalable, reliable AI systems.
Blog & Insights
Technical articles, tutorials, and insights on AI/ML, software development, and technology trends
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About.
AI/ML-focused software engineer specializing in designing and deploying intelligent systems (LLMs, semantic search, vector databases) with cloud-native MLOps. Proven ability to build scalable, privacy-preserving solutions for web, mobile, and enterprise applications.
Contact.
Get in Touch
Have a project in mind or want to collaborate? I'd love to hear from you!