Saket Agarwal
@saketagarwal
I am a software engineer specializing in backend systems, BI automation, and AI-driven pipelines.
IndiaWhat I'm looking for
I am a software engineer who designs and ships backend systems, BI automation, and AI-driven data pipelines that improve reliability and surface actionable insights for stakeholders.
In my current work I engineered AI pipelines to classify and extract structured insights from unstructured feedback, halving manual review and doubling ingestion throughput for BI dashboards. I built a Python testing suite for BI platform endpoints that cut test runtime in half and enabled faster deployments, and automated Tableau extract refreshes to reduce manual intervention by 80%.
I have modernized on-prem infrastructure, migrated legacy systems, and tuned scheduled workflows to increase throughput and reduce downtime; my projects include microservices built with Spring Boot and a Node.js API proxy that uses Redis caching and rate limiting to protect backend services. I emphasize high test coverage, schema versioning, and robust API design across services.
I enjoy solving operational and scalability challenges through automation, observability, and clean engineering practices, and I seek roles where I can collaborate across teams to deliver reliable, data-driven products that scale.
Experience
Work history, roles, and key accomplishments
LGEngineered AI pipelines to classify and extract structured insights from unstructured user feedback, reducing manual review by 50% and doubling ingestion throughput for BI dashboards. Built a Python-based test suite and automated Tableau extract refreshes, cutting test run time by 50%, increasing deployment frequency, and reducing manual intervention by 80%.
LGManaged Tableau Server operations and resolved extract failures within 2-hour SLAs while balancing resource utilization across teams. Tuned and automated 200+ scheduled workflows to increase throughput by 25%, reduce unplanned downtime by 20%, and eliminate 30% of redundant jobs via Power Automate.
Education
Degrees, certifications, and relevant coursework
NTNitte Meenakshi Institute of Technology
Bachelor of Technology, Electronics and Communication Engineering
2019 - 2023
Grade: CGPA: 7.80
Activities and societies: Publication: Hands-Free Mouse Control Using Facial Feature (IEEE Xplore, July 2023); developed a facial gesture-based cursor control system using Python, OpenCV, and TensorFlow. Relevant coursework: Data Structures and Algorithms, DBMS, Web Development, Python, MVC Architecture, RDBMS, Computer Vision, Human-Computer Interaction, Real-Time Systems.
Bachelor of Technology in Electronics and Communication Engineering (CGPA 7.80) completed August 2019–August 2023. Published 'Hands-Free Mouse Control Using Facial Feature' in IEEE Xplore (July 2023).
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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