Swara j Bhalerao

Software Engineer Intern at Open Systems Technologies

Developed and deployed a Flask-based AI-powered resume search platform integrating OpenAI embeddings, Pinecone, MongoDB Atlas and AWS S3, enabling intelligent matching for 1,000+ resumes. Optimized system performance by 99%, reducing search latency from 30–60s to 2–5s and API usage by 99.3% through vector embedding storage, achieving 10× faster search speed. Architected scalable MongoDB and AWS S3 pipelines for embedding storage, file ingestion and retrieval, boosting system reliability by 25% and supporting 50+ concurrent users. Collaborated with data science and product teams to integrate ML-based vector search and backend services, transforming a prototype into a production-ready AI recruitment platform.

Graduate Research Assistant at Stevens Institute of Technology

Conducted data analysis for 50 corporate clients using Lightcast and Excel, leveraging Python to process large volumes of data for manipulation and insights generation on distributed systems, supporting Stevens’ course sales. Architected and developed a centralized Python and PostgreSQL application within a CI/CD pipeline, implementing data management practices and leveraging SQL for efficient data querying, to integrate 100% of student data. Developed five interactive Power BI dashboards, visualizing KPIs for student data, reducing manual reporting efforts by 60% and saving analysts 10+ hours weekly. Led Scrum ceremonies with cross-functional teams, maintained project documentation, and drove the project to 100% on-time delivery.

Software Engineer Intern at Lapcom Solutions

Developed and delivered 15+ software components using Agile methodologies, enhancing application reliability and user satisfaction through scalable, business-driven solutions. Improved system stability by 20% by implementing optimized coding, debugging and continuous integration best practices, reducing runtime errors and deployment issues. Collaborated with cross-functional teams to resolve 100+ technical issues and conduct 40+ code reviews using pytest, maintaining 99.9% code quality and boosting feature release velocity by 15%.

Web Development Intern at The Sparks Foundation

Developed interactive front-end applications using JavaScript, React, HTML, Node.js and CSS, integrating external APIs and JSON data to boost average session duration by 25%. Deployed and maintained AWS microservices, improving scalability and achieving a 20% increase in monthly users while implementing efficient data structures and algorithms that improved CRUD response time by 30%. Automated 90% of critical software functions with Selenium and PyTest, freeing 10 hours weekly for debugging core issues.

Software Engineer Intern at Open Systems Technologies

Developed and deployed a Flask-based AI-powered resume search platform integrating OpenAI embeddings, Pinecone, MongoDB Atlas and AWS S3, enabling intelligent matching for 1,000+ resumes. Optimized system performance by 99%, cutting search latency from 30–60s to 2–5s and API usage by 99.3% through vector embedding storage, achieving 10× faster search speed. Architected scalable MongoDB and AWS S3 pipelines for embedding storage, file ingestion and retrieval, boosting system reliability by 25% and supporting 50+ concurrent users. Collaborated with data science and product teams to integrate ML-based vector search and backend services, transforming a prototype into a production-ready AI recruitment platform.

Graduate Research Assistant at Stevens Institute of Technology

Conducted comprehensive data analysis for 50 corporate clients using Lightcast and Excel, leveraging Python to process large volumes of data for manipulation and insights generation on distributed systems, supporting sales for Stevens’ courses. Architected and developed a centralized application using Python and PostgreSQL within a CI/CD pipeline, implementing data management practices and leveraging SQL for efficient data querying, to integrate 100% of student data. Developed five interactive Power BI dashboards, visualizing KPIs for student data through data analysis and data visualization, cutting down manual reporting efforts by 60% and saving analysts 10+ hours weekly. Led Scrum ceremonies (sprint planning, daily stand-ups, reviews, retrospectives) with cross-functional teams, maintained comprehensive project documentation and drove the project to 100% on-time delivery.

Software Engineer Intern at Lapcom Solutions

Developed and delivered 15+ software components using Agile methodologies, enhancing application reliability and user satisfaction through scalable, business-driven solutions. Improved system stability by 20% by implementing optimized coding, debugging and continuous integration best practices, reducing runtime errors and deployment issues. Collaborated with cross-functional teams to resolve 100+ technical issues and conduct 40+ code reviews using pytest, maintaining 99.9% code quality and boosting feature release velocity by 15%.