Aayush Kumar

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in building scalable backend applications.
Proficient in deploying microservices with Kubernetes.
Strong background in machine learning integration.

Stackforce AI infers this person is a Backend-focused Software Developer in the SaaS industry.

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Skills

Core Skills

PythonMicroservicesRestful ApisMachine LearningBack-end Web DevelopmentStatistics

Other Skills

FastAPIKubernetesHelm chartsAMD uProfValgrindGTestSuiteProblem SolvingData AnalyticsComputer ScienceMathematicsREST APIsDjangoGenerative AI ToolsGenerative AIDesign Systems

About

As a Software Developer at Datycs, I focus on designing and deploying scalable backend applications, leveraging expertise in Python and RESTful APIs to drive efficiency. My work includes managing Kubernetes infrastructures with Helm charts, integrating machine learning models into production, and optimizing microservices for enhanced system performance. With an MTech in Computer Science from NIT Delhi, I combine academic rigor with hands-on experience in microservices, Django, and Generative AI tools. Passionate about creating impactful data-driven solutions, I collaborate on projects that streamline workflows and improve system reliability for enterprise applications.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Datycs

Software Developer

Aug 2023 – Present · 2 yrs 10 mos · India · Remote

Led the development of scalable applications using Python and FastAPI, ensuring seamless integration with large data systems.
Spearheaded the deployment and management of microservices in Kubernetes, utilizing Helm charts to ensure stable and scalable infrastructures.
Developed and optimized RESTful APIs to enable efficient communication between microservices and enhance system performance.
Integrated machine learning models into production, streamlining workflows and improving data processing efficiency through automated CI/CD pipelines.
Contributed to the successful deployment of critical solutions for major clients, focusing on system reliability, security, and performance.

PythonFastAPIKubernetesHelm chartsRESTful APIsMachine Learning+1

Amd

Software Development Intern

Jun 2022 – May 2023 · 11 mos · Bengaluru, Karnataka, India · Hybrid

Optimized math kernels for high-performance computations, significantly improving efficiency and accuracy in computational processes.
Utilized AMD uProf and Valgrind to profile systems and resolve performance bottlenecks, resulting in reduced latency and improved overall system performance.
Developed Python scripts for data extraction and analysis, accelerating processing times while enhancing data accuracy.
Implemented low-level code optimizations to improve reliability, and speed, ensuring high-performance delivery.
Conducted thorough unit testing using GTestSuite, ensuring the robustness and reliability of the code.

PythonAMD uProfValgrindGTestSuiteBack-End Web DevelopmentStatistics