Sangeeta Shetty

Backend Developer with 4 years of experience building scalable backend systems using Node.js and Golang. Experienced in developing REST APIs, microservices, and cloud-native applications on AWS, GCP, and Azure. Proven track record of modernizing legacy systems, including reducing API latency from over 600 ms to under 10 ms through architectural and performance optimizations.

Senior Backend Developer at Lineupx (2023-01 – 2026-06)

• Led the migration of core backend services from Node.js to Golang within 3 months, reducing database query latency from 600 ms to under 10 ms through aggregation redesign and index optimization.
• Built and maintained a scalable Job Importer using Node.js and Python that processed 10,000+ job listings daily, maintaining 95% data freshness for enterprise clients including Physics Wallah and Simplilearn.
• Designed and developed scalable REST APIs and backend services to support high-volume data processing and business workflows.
• Mentored backend engineers through onboarding, code reviews, and engineering best practices, improving code quality, maintainability, and development consistency across the team.

Backend Developer at Lineupx (2022-06 – 2023-12)

• Designed and developed a semantic candidate recommendation engine using Weaviate Vector Database on Google Cloud Platform (GCP), improving candidate-job matching through vector search.
• Developed AWS Lambda functions to automate backend workflows and implemented serverless architectures for scalable event-driven processing.
• Integrated OpenAI GPT and Text-to-Speech (TTS) APIs to automate user workflows and enhance platform intelligence with AI-powered features.
• Collaborated with cross-functional teams to design, develop, and deploy scalable backend services following clean architecture and REST API best practices.

Freelance at Self-Employer (2020-09 – 2021-10)

• Developed custom web applications and business websites for small enterprises using modern backend technologies.
• Built a cloud-based email automation platform in Python to streamline marketing campaigns and automate customer outreach.
• Acquired 30–40 paying customers through organic Facebook community outreach, generating 600+ qualified engagements and validating product-market fit without paid advertising.

Bachelors in Computer Application – SNDT University (2019-08 – 2022-06)