Hey there! I'm Saurabh Mishra, an experienced AI Engineer specializing in LLMs, RAGs and vector DBs.
About Me
I'm an AI Engineer with over 4 years of experience building and deploying ML and LLM systems in production — spanning classical ML, data engineering, and applied LLM work like RAG, agentic workflows, and AI assistants.
I specialise in production ML on AWS, using Python, PyTorch, Transformers, SageMaker, Bedrock, Lambda, and Glue to ship pipelines that hold up in the real world — including a 40% cut in incident-resolution time on the cloud systems I've owned.
Machine Learning
- Python
- PyTorch
- Keras
- scikit-learn
- NumPy & Pandas
LLMs & Applied AI
- LangChain
- RAG Systems
- Vector DBs
- Agentic Workflows
- Fine-tuning (LoRA/PEFT)
MLOps
- MLflow
- Airflow
- Docker
- Kubernetes
- Model Serving
Cloud
- AWS SageMaker/Bedrock
- AWS Glue
- AWS Lambda
- AWS Redshift
- Terraform
Data Engineering
- Databricks
- Apache Spark
- Kafka
- Feature Stores
- ETL Pipelines
Engineering
- System Design
- REST APIs
- Git
- Testing
- Observability
Also Proficient With
Experience
My professional journey and the companies I've had the privilege to work with.
Cloud Engineer
Ellucian Higher Education Systems
Built the cloud team's automated incident-resolution stack on AWS — a classification model on SageMaker to triage incoming issues, a RAG system over support knowledge to surface resolution steps, and serverless call-to-action flows on Lambda to execute fixes automatically. Cut MTTR on P3 cases by 40% and response time by 25%.
Data Scientist
Upwork
Freelanced on ML and AI projects for clients across industries — building data pipelines, NLP models, and RAG-based assistants end-to-end, from scoping and data preparation through deployment and monitoring.
Data Analyst Intern
Nepal Red Cross Society
Supported data collection and analysis for rural projects in collaboration with UN-Habitat Nepal, cleaning and preparing field data used to guide program decisions.
Latest Insights
Thoughts, tutorials, and insights on Machine Learning and AI.
Introduction to Machine Learning
Machine learning enables a machine to automatically learn from data, improve performance from experiences, and predict things without being explicitly programmed.
Read Article
Support Vector Machine
The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space that distinctly classifies the data points.
Read Article
Decision Trees
Decision Tree is a graphical representation for getting all the possible solutions to a problem/decision based on given conditions.
Read ArticleGet In Touch
Have a project in mind or want to discuss the latest tech? I'd love to hear from you.
Address
Jain (Deemed-to-be) University
Kanakpura Rd,
Bangalore, Karnataka
India
Phone
+91 8050976759
+977 9814877469