# Harshit Shirsat > Software Engineer @ Sensigo | Ex-Deloitte Location: San Francisco Bay Area, United States Profile: https://flows.cv/harshitshirsat πŸ‘‹ Hi, I’m Harshit Shirsat, a Software Engineer passionate about building scalable, high-impact platforms across full-stack development, cloud systems, distributed architectures, and backend engineering. πŸ‘¨β€πŸ’» I currently work at Sensigo, where I develop cloud and ML-driven platforms, delivering measurable business impact through increased user adoption, stronger engagement, and revenue growth via market expansion. πŸŽ“ I hold a Master’s in Computer Science from Arizona State University, and previously worked as a Software Engineer II at Deloitte. πŸ’‘ My experience spans full-stack development, cloud-native backend systems, ML-integrated applications, and real-time analytics, with hands-on work across AWS and Google Cloud ecosystems. πŸ› οΈ Technical strengths include Java, Spring Boot, GraphQL, React, AWS Lambda, BigQuery, Apache Beam, Airflow, Terraform, and scalable API design. ⚽ Outside of engineering, I enjoy outdoor sports, traveling, and hiking. πŸš€ Always excited to build systems that scale, ship impactful products, and solve real-world problems through software. ## Work Experience ### Software Engineer @ Sensigo Jan 2025 – Present | Redwood City, CA ● Tackled the problem of slow, manual vehicle diagnosis and repair workflows, reorienting the platform toward accelerated AI-driven diagnosis and reduced repair time to improve service-center efficiency and scalability. ● Owned the end-to-end redesign of the diagnosis workflow, enabling ML predictions from minimal inputs, eliminating vehicle log file dependency, and driving 20% DAU growth via faster AI-powered diagnosis. ● Designed and developed both high and low-level designs for a real-time analytics dashboard, aggregating metrics from four systems into service-center leaderboards, resulting in a 30% increase in user engagement. ● Led the transition from a single-tenant to a multi-tenant architecture, enabling multi-brand expansion, new enterprise deployments, and $XXXK+ in ARR leading up to the Series A funding round within a year. ● Built these platforms using a full-stack architecture including Node.js, React/Next.js, GraphQL, REST APIs, PostgreSQL, and AWS Lambda, selecting technologies based on scalability, latency, and AI-integration requirements. ### Software Engineer Intern @ Sensigo Jan 2024 – Jan 2024 | Redwood City, CA ● Led internationalization of a vehicle service center diagnosis platform by developing locale-aware APIs and data models, enabling rollout across 6 global markets. ● Built a scalable GraphQL API layer spanning diagnostics, repair, and analytics workflows, supporting 40+ APIs and serving 10K+ daily requests with <20ms latency. ### Software Engineer II @ HashedIn by Deloitte Jan 2022 – Jan 2023 | Bengaluru ● Engineered BigQuery-based analytics pipelines and data models over 10TB+ of customer and vehicle data, surfacing trends that drove a 3% sales increase sustained over two consecutive quarters. ● Built KPI dashboards and self-serve datasets using BigQuery and SQL, reducing manual reporting effort by 30% and enabling data-driven product and growth decisions. ● Developed large-scale analytics pipelines with BigQuery and Apache Beam (Dataflow) via Airflow, optimizing SQL performance to cut data retrieval latency by 10% across high-volume datasets. ### Software Engineer @ HashedIn by Deloitte Jan 2021 – Jan 2022 | Bengaluru ● Built a scalable Reporting and Test Management platform using Java Spring Boot microservices, handling 10K+ test records per day with improved reporting performance. ● Implemented centralized secrets management for Spring Boot services, securing credentials across 10+ microservices and multiple deployment environments. ● Eliminated duplicated security controls across microservices by implementing a centralized API gateway with authentication and encryption, improving auth latency by 15% and reducing unauthorized access attempts. ● Designed and developed backend services for reporting and test workflows, supporting over 5 client deployments and contributing to repeat business as part of a top-performing engineering team. ### Software Engineer Intern @ HashedIn by Deloitte Jan 2021 – Jan 2021 | Bengaluru ● Optimized Spring Boot REST API services through indexing and join optimization of complex SQL queries, reducing application latency by 25% while delivering production features. ### Research Intern @ Indian Institute of Science (IISc) Jan 2020 – Jan 2020 | Bengaluru ● Conducted research in the field of biomedical image processing for automated detection and segmentation of lumen intima layer, which resulted in enhanced pre-screening of strokes. Submitted a journal paper comparing our technique to other cutting-edge techniques. Obtained segmentation results that are the best among reported papers. ### Project Intern @ Robosoft Technologies Jan 2020 – Jan 2020 | Udupi ● Developed the frontend of a dynamic feedback form application using HTML, CSS, and Javascript. The application helps the event organizer to gather feedback from the participants. Provided a better alternative to event-specific and non-reusable static feedback forms. ### Research Intern @ Manipal Institute of Technology Jan 2019 – Jan 2019 | Udupi ● Conducted research in the field of biomedical image processing for the automated detection and segmentation of optic disc, which resulted in enhanced pre-screening of glaucoma. Submitted a journal paper comparing our technique to other cutting-edge techniques. ## Education ### Master of Science - MS in Computer Science Arizona State University ### Bachelor's degree in Computer Science NMAM Institute of Technology ### Pre-University in Computer Science Little Rock Indian School ## Contact & Social - LinkedIn: https://linkedin.com/in/harshit-shirsat --- Source: https://flows.cv/harshitshirsat JSON Resume: https://flows.cv/harshitshirsat/resume.json Last updated: 2026-03-31