Skip to content
View sweta-sahu's full-sized avatar
πŸ’­
Sr. Research Aide at The Research Foundation for SUNY
πŸ’­
Sr. Research Aide at The Research Foundation for SUNY

Block or report sweta-sahu

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sweta-sahu/README.md

Hi I'm Sweta Sahu πŸ‘‹

Passionate graduate student in Computer Science Engineering with a specialization in AI/ML, blending academic excellence with 3 years of professional experience in software development. Dedicated to leveraging Machine Learning, Data Analysis, and API design to create innovative solutions and drive meaningful impact in the tech landscape.

  • πŸ”­ I’m currently pursuing a Master's in Computer Science and Engineering (AI/ML specialization) from University at Buffalo
  • 🌱 I’m currently learning and exploring various Large Language Models, Retrieval Augmented Generation and Agentic Retrieval Augmented Generation
  • πŸ“« How to reach me: swetasahu2399@gmail.com
  • πŸ˜„ Pronouns: She/Her
  • πŸ“„ Resume: Resume
  • 🌐 My website: Portfolio | Sweta Sahu

πŸš€ Key Technical Achievements

  • βš™οΈ Architected AWS-powered ingestion pipeline with IoT Core, Kinesis, and S3, cutting latency by 33%
  • 🧠 Fine-tuned T5, DistilBERT, and LaBSE for OCR and NLP tasks in health & customer analytics
  • 🧩 Engineered real-time sensor dashboards using React + NodeJs, enabling on-the-fly anomaly tracking
  • πŸ§ͺ Created end-to-end ML pipelines using Amazon SageMaker, Docker, and EC2 for MaterialsIn, a Materials Informatics company, to automate the machine learning lifecycle, minimizing manual intervention and accelerating model deployment.
  • πŸ—ƒοΈ Migrated PostgreSQL to MongoDB, improving query speed by 40%
  • πŸ” Secured microservices with Keycloak, Cognito, and OAuth2

πŸ’Ό Skills

πŸ–₯️ Programming Languages

Python Java JavaScript TypeScript HTML CSS YAML

πŸ“š Libraries and Frameworks

Pandas NumPy Matplotlib Seaborn Scikit-Learn TensorFlow Keras PyTorch NLTK spaCy OpenCV Flask FastAPI Node.js Express.js ReactJS Axios Bootstrap Spring Boot Hugging Face

πŸ—„οΈ Databases & Caching

PostgreSQL MySQL MongoDB Redis

πŸ”’ Authentication & Authorization

Keycloak AWS Cognito

πŸ› οΈ DevOps and Deployment

Linux Docker Git GitLab AWS EC2 AWS ECR AWS Lambda

🌐 Cloud Services

AWS S3 AWS IAM AWS Kinesis AWS CloudTrail AWS CloudWatch AWS SageMaker AWS IoT Core

πŸ“Š Big Data Tools

Apache Kafka Hadoop Apache Spark

πŸ“Š GitHub Activity & Highlights

Pinned Loading

  1. WanderGenie-ai-travel-assistant WanderGenie-ai-travel-assistant Public

    Forked from PatilPrajakta14/WanderGenie-ai-travel-assistant

    Travel AI assistant to get a personalized day-by-day itinerary, map pins, calendar events and booking links, auto-adjustable by chat.

    Python

  2. Explainable-AI-Trading-Copilot Explainable-AI-Trading-Copilot Public

    Forked from sruthi7sri/Explainable-AI-Trading-Copilot

    An AI copilot that predicts stock trends and explains the β€œwhy” in plain language, combining market data, news, and transparent reasoning to build trader trust.

    TypeScript

  3. Adaptive-RL-Tutor Adaptive-RL-Tutor Public

    Forked from PatilPrajakta14/Adaptive-RL-Tutor

    Jupyter Notebook

  4. next-day-wildfire-spread-prediction-and-reporting next-day-wildfire-spread-prediction-and-reporting Public

    Jupyter Notebook 1 1