I’m a software engineer who loves building things that actually work in the real world—scalable backends, clean APIs, cloud-native systems, and the kind of automation that makes everyone’s life easier. Most of my day-to-day work revolves around Python, Java, AWS, Kubernetes, CI/CD, and debugging issues that nobody else wants to touch. I’ve designed and deployed production systems end-to-end, optimised cloud costs, automated ETL pipelines, and built microservices that can handle real traffic. I enjoy solving problems, digging into failures, and making systems faster, safer, and more reliable. I’m someone who learns quickly, takes ownership, and genuinely cares about delivering good work. Whether it’s backend, DevOps, cloud infrastructure, or anything in between, I love creating solutions that feel solid and well-engineered.

Sushruth Danivasa Sridhar

I’m a software engineer who loves building things that actually work in the real world—scalable backends, clean APIs, cloud-native systems, and the kind of automation that makes everyone’s life easier. Most of my day-to-day work revolves around Python, Java, AWS, Kubernetes, CI/CD, and debugging issues that nobody else wants to touch. I’ve designed and deployed production systems end-to-end, optimised cloud costs, automated ETL pipelines, and built microservices that can handle real traffic. I enjoy solving problems, digging into failures, and making systems faster, safer, and more reliable. I’m someone who learns quickly, takes ownership, and genuinely cares about delivering good work. Whether it’s backend, DevOps, cloud infrastructure, or anything in between, I love creating solutions that feel solid and well-engineered.

Available to hire

I’m a software engineer who loves building things that actually work in the real world—scalable backends, clean APIs, cloud-native systems, and the kind of automation that makes everyone’s life easier. Most of my day-to-day work revolves around Python, Java, AWS, Kubernetes, CI/CD, and debugging issues that nobody else wants to touch.

I’ve designed and deployed production systems end-to-end, optimised cloud costs, automated ETL pipelines, and built microservices that can handle real traffic. I enjoy solving problems, digging into failures, and making systems faster, safer, and more reliable.

I’m someone who learns quickly, takes ownership, and genuinely cares about delivering good work. Whether it’s backend, DevOps, cloud infrastructure, or anything in between, I love creating solutions that feel solid and well-engineered.

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Experience Level

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Work Experience

Software Engineer at Naviget
July 1, 2025 - November 24, 2025
Architected 10+ RESTful APIs using Python and FastAPI for user authentication, tenant management, media upload, and metadata tagging, maintaining 98% uptime. Revamped the video rendering pipeline with Redis-based distributed task queues and in-memory caching, lowering request latency by 35%. Automated API testing with Postman collections integrated into CI/CD pipelines, reducing QA turnaround by 40%. Developed an AI-driven optimization engine to recommend rendering parameters, reducing processing time by 30%.
Software Engineer at KPMG
July 1, 2023 - July 1, 2023
Built a real-time financial analytics dashboard using Flask, React, and PostgreSQL, optimizing data retrieval to boost query efficiency by 48%. Integrated AI models into Python APIs on Azure to automate anomaly detection and reduce analysis time by 50%. Redesigned authentication and reporting modules into microservices using Docker, minimizing rollback incidents and enhancing scalability by 30%. Optimized SQL queries and API logic, increasing throughput by 20% and improving responsiveness under high load. Formulated Jenkins pipelines and migrated 10+ backend applications to AWS and Azure, accelerating delivery speed by 40% and reducing costs by 15%. Collaborated with cross-functional Scrum teams during Agile sprints and code reviews to resolve critical production bugs, decreasing post-deployment issues by 28%.
Software Engineer at WIPRO
May 1, 2022 - May 1, 2022
Designed flight reservation and cancellation modules using Java and MongoDB, minimizing transaction errors by 20%. Refined backend transaction workflows with MongoDB performance tuning and concurrency control, increasing system reliability by 28%. Refactored service layer with OOP principles, streamlining feature integration and eliminating code duplication.

Education

Master of Science at University of Wisconsin – Milwaukee
September 1, 2023 - May 1, 2025
Bachelor of Engineering at Dayananda Sagar Academy of Technology and Management
August 1, 2018 - July 1, 2022

Qualifications

Azure Developer Associate (AZ-204)
January 11, 2030 - November 24, 2025

Industry Experience

Software & Internet, Professional Services