Hi I'm Sweta Sahu
Experienced in building scalable backend systems, deploying production-grade ML models, and architecting cloud-native solutions.
My Engineering Philosophy
I believe the most powerful software is born at the intersection of robust architecture, intelligent data, and seamless user experience. My work is dedicated to mastering these three pillars to build solutions that are not just functional, but truly exceptional.
Architecting the Backend
This is the foundation. I build high-performance, scalable microservices and real-time data pipelines that serve as the reliable backbone for any application.
Infusing Intelligence
This is where data becomes insightful. I specialize in the full MLOps lifecycle, turning complex models into production-grade APIs that power smarter applications.
Crafting the Experience
This is where the user connects. I build intuitive frontends and ensure the system is deployed seamlessly using Docker and CI/CD for a polished final product.
Work Experience
Sr. Research Aide
Research Foundation for SUNY | Feb 2025 - Present
Spearheaded the design and implementation of critical data infrastructure and machine learning capabilities for a pioneering Materials Informatics platform, accelerating research and development cycles.
- Developed a robust, high-throughput data ingestion platform using Node.js, slashing file upload latency to Amazon S3 by 33%.
- Ensured scalable, secure, and resilient application deployment by containerizing with Docker and deploying on AWS EC2 with secure user authentication via AWS Cognito.
- Engineered a real-time streaming data pipeline leveraging AWS IoT Core and Kinesis to ingest and process live telemetry data from industrial sensors.
- Orchestrated the development and deployment of machine learning pipelines using AWS SageMaker, automating the full lifecycle from data preprocessing to inference.
- Deployed predictive models into the live application via a serverless inference API using AWS Lambda and API Gateway for seamless frontend consumption.
Tata Consultancy Services
Software Developer
Jun 2023 - Jul 2024
Led a backend team in modernizing a large-scale platform by designing and integrating core microservices, resulting in significantly improved system resilience, performance, and scalability.
- Led a backend team in the end-to-end design and development of three core microservices using Spring Boot, creating robust and secure REST APIs.
- Architected a decoupled, event-driven system by implementing Apache Kafka as a central message broker, improving system resilience.
- Containerized all backend applications using Docker and managed their deployment on AWS EC2, establishing a scalable CI/CD workflow.
- Drastically improved application response times by integrating Redis as a distributed cache for frequently accessed data.
- Orchestrated a complex database migration from PostgreSQL to MongoDB to support unstructured data and enhance data model flexibility.
Assistant Software Developer
Jun 2021 - May 2023
Contributed across the full stack, building foundational microservices, implementing security protocols, and developing a sophisticated NLP pipeline to extract data-driven insights.
- Designed and engineered a complete user onboarding microservice using Spring Boot, with PostgreSQL for data persistence.
- Contributed directly to the frontend of a new Carbon Platform by developing reusable components with ReactJS.
- Implemented robust security across all APIs by integrating Keycloak for authentication and authorization.
- Developed an automated data pipeline using Python and web scraping to collect and cleanse unstructured text data.
- Implemented a sophisticated NLP solution applying the LaBSE sentence embedding model and K-means clustering to categorize and extract insights from data.
Projects
Wildfire Spread Forecasting & Reporting System
Trained a Swin-V2 Transformer for wildfire forecasting and used a Mistral-7B LLM for report generation. Built a full-stack platform with React and FastAPI.
Nutrition Analyzer - AI Powered Label Scanner
Conceptualized an AI pipeline to analyze nutrition labels using OCR and NLP models. Created a full-stack analyzer with HTML/CSS/JS and FastAPI.
Technical Skills
Languages
Frameworks & Libraries
Cloud, DevOps & Security
Databases & Caching
Data Science & ML
Architecture & Methodologies
Education
University at Buffalo, The State University of New York
Master of Science, Computer Science and Engineering
Expected: Dec 2025 | GPA: 3.92/4.0
Ramrao Adik Institute of Technology
Bachelor of Engineering, Electronics and Telecommunications
Aug 2017 - Jun 2021 | Grade: 9.31/10.0
Contact Me
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