Akash Kumar

Software Engineer

Seattle, Washington, United States2 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Enhanced search accuracy by 25% for millions of queries.
Optimized processor performance, boosting efficiency by 40%.
Contributed to reducing latency by 20% in network algorithms.

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in SaaS and Networking industries.

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Skills

Core Skills

BackendJavaPythonMachine LearningData ProcessingC++Full-stack Development

Other Skills

JavaScriptPython (Programming Language)Server SideReact jsApacheDistributed SystemsC++ (Programming Language)linuxHipergatorData MaskingDockerPostgreSQLSpringbootREST APIsAgile & Waterfall Methodologies

About

+ SWE @Servicenow + 3x SWE Intern If you have any suggestions or feedback, please connect with me at akash.kumardev916@gmail.com Technical Skills: • Programming Languages: C++, Python, Java, JavaScript, Erlang, PL/SQL, Shell script • Lib/Frameworks: SpringBoot, Node.JS, REST, Kafka, MySQL, MongoDB, HTML, CSS, JUnit, Mockito • Tools: Postman, Git, Linux, Visual Studio, Jira, Bitbucket, Docker, S3, CI/CD, Elasticsearch, Firebase • ML Libraries: Scipy, Numpy, OpenCV, Keras, Tensorflow, Pandas, Scikit, Seaborn, NLTK

Experience

2 yrs 10 mos

Total Experience

11 mos

Average Tenure

1 yr 11 mos

Current Experience

Servicenow

Software Engineer

Jun 2024 – Present · 1 yr 11 mos · Washington, United States · On-site

Integrated fuzzy search support, enhancing result accuracy by 25% for over 10M+ user queries/month.
Wroked on a Knowledge Graph ingestion and retrieval pipeline, processing 20M+ entities and relationships.

BackendJavaJavaScript

Amd

Software Engineer Intern

Jan 2024 – May 2024 · 4 mos · Austin, Texas, United States · On-site

• Designed and implemented a streamlined log analysis web app using Streamlit, ensuring efficient data visualizations • Optimized processor performance - GFLOPS, significantly enhancing computing efficiency by 40% using ML model • Streamlined a data processing pipeline, enhancing efficiency by 30% and enabling robust analytics capabilities.

Python (Programming Language)Server SideReact jsApacheMachine LearningDistributed Systems+2

Juniper networks

Software Engineer Intern

May 2023 – Aug 2023 · 3 mos · Sunnyvale, California, United States · On-site

Contributed to a Fabric architecture and implemented a load-balancing algorithm that slashed latency by 20%. Enhanced routing algorithms performance through optimized data caching mechanism, reducing memory overhead by 30% and boosting algorithm execution time by 25%.

PythonBackendC++ (Programming Language)linuxC++

University of florida

Graduate Research Assistant

Sep 2022 – May 2023 · 8 mos · Florida, United States

Conducting individual research on optimal debugging strategies. Utilizing machine learning, we are trying to find the most effective and generic strategies for debugging codes regardless of the programming language.

Machine LearningC++Python (Programming Language)HipergatorData Masking