Hi, I'm Sai Priya
Machine Learning Engineer
Specialized in building AI-powered applications and data-driven solutions with expertise in LangChain, TensorFlow, and cloud architecture.
About Me
Machine Learning Engineer & Software Developer
Back in 2012, I channeled my creativity into designing custom boards and pins on Pinterest, which led me to explore the world of coding and web development. This creative endeavor sparked a passion that has carried me through various roles, from agile start-ups to large corporations.
These days, my main focus is on building accessible and data-driven applications. I enjoy working at the intersection of design and engineering — creating solutions that look good and perform exceptionally well. Currently, I am pursuing a Master of Science in Computer Software Engineering at Northeastern University, engaging in projects like developing RAG engines and real-time chatbots.
Professionally, As a Data Engineer at Cognizant Technology Solutions, I built scalable data pipelines, integrated and processed data from various databases, and implemented machine learning algorithms to enhance system performance.
In addition to my technical skills, I serve as the Vice President of Finance for the Graduate Student Government at Northeastern University, managing a substantial budget and ensuring financial transparency.
When I'm not at the computer, I'm usually doodling, editing videos, hanging out with my family, or searching for the best Tiramisu in the city.
Feel free to connect with me on LinkedIn or explore my projects on GitHub.
Skills
Machine Learning & AI
Data Engineering & Tools
Backend Development
Frontend Development
Cloud Services
DevOps & Infrastructure
Database Systems
Experience
Business Intelligence Analyst
January 2025 - PresentNortheastern Business Services
Boston, MA- •Conducted data analysis on 100K+ financial transactions using Excel, Tableau, and Python, delivering actionable insights that optimized budget allocations.
- •Implemented sentiment analysis on student feedback data using Python and NLTK, analyzing 5000+ responses to identify key areas for service improvement, achieving 80% correlation with manual review results.
- •Aided in budgeting and forecasting by implementing financial modeling techniques in Python and Excel, improving accuracy of financial projections by 20%.
Machine Learning Engineer Intern
September 2024 - January 2025Astir IT
Boston, MA- •Engineered an AI-powered document intelligence system using LangChain and Azure OpenAI, enabling automated analysis of financial documents and reducing research time by 15% for consulting teams.
- •Implemented a Retrieval-Augmented Generation (RAG) pipeline with Elasticsearch kNN for semantic search and document retrieval, processing 1,000+ financial documents with 90% accuracy in relevant information extraction.
- •Developed a secure FastAPI backend with JWT authentication and React frontend, creating an intuitive interface for real-time document querying and summarization that reduced average query response time to under 2 seconds.
- •Built automated ETL pipelines using Apache Airflow for document processing, implementing robust error handling and monitoring that achieved 95% pipeline reliability.
- •Containerized the application using Docker and deployed on GCP with Kubernetes, establishing horizontal pod autoscaling to handle varying workloads while maintaining 98% service availability.
Data Engineer
November 2021 - July 2023Cognizant Technology Solutions Pvt Ltd
Hyderabad, India- •Deployed machine learning models with Python and TensorFlow, achieving 85% accuracy in predicting system failures, and developed real-time monitoring using ElasticSearch, Kibana, and React.js dashboards, improving system diagnostics by 30%.
- •Maintained RESTful APIs for secure, efficient data communication, and optimized front-end and back-end interactions.
Projects
Big Data Hackathon
A comprehensive big data analytics project for the DAMG7245 course.
Multi-Agent RAAG Application
A multi-agent system implementing Retrieval Augmented Generation for advanced AI applications.