Rishabh K

Software Engineer

Raipur, Chhattisgarh, India3 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Proven experience in developing machine learning methodologies.
Strong background in teaching and course management.
Hands-on experience with data analysis in streaming services.

Stackforce AI infers this person is a Data Science and Software Engineering professional with a focus on EdTech and Streaming Services.

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Skills

Core Skills

TeachingCourse ManagementData AnalysisMachine Learning

Other Skills

C (Programming Language)C++Cascading Style Sheets (CSS)Competitive ProgrammingComputer NetworkingData StructuresDeep Packet InspectionDockerGitGoogle Speech-to-text APIHTMLJavaJenkinsKubenreteKubernetes

About

Data science and Artificial Intelligence Undergrad at IIIT Naya Raipur. I am interested in Algorithms and Data structures and currently focusing on improving my problem solving skills

Experience

3 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 4 mos

Current Experience

Cisco

3 roles

Software Developer 2

Promoted

Oct 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

Software Developer

Jul 2024 – Oct 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Working in platform team at Secure Workload (part of Isovalent org)

Technical Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Part of Cisco Secure Workload (formerly Tetration Analytics)

Programming pathshala

Academics Intern

Sep 2022 – Jul 2023 · 10 mos · Remote · Remote

Worked as a doubt solver in academics team
Resolved doubts related to DSA, OS, and DBMS
Took mock interviews and published blogs

Coding minutes

Teaching Assistant

Aug 2022 – Jan 2024 · 1 yr 5 mos · Remote

Managed 4 courses, resolved doubts, added problems, and made checker files, contributed to solution repos. Link: https://www.codingminutes.com/#courses
Automated the subtitle generation for lectures using Google Speech-to-text API
Collected course content and helped in problem setting for contests:
https://www.hackerrank.com/lpu-evaluation-test-cp
https://www.hackerrank.com/lpu-evaluation-test

Samsung r&d institute india

Samsung R&D Intern

Aug 2022 – Jan 2023 · 5 mos · Remote · Remote

Developed and implemented a methodology for estimating QoE of Netflix streaming data.
Extracted data using L4 protocols and Deep Packet Inspection techniques.
Conducted feature engineering and utilized Bagging and Logistic Regression to develop a QoE metric which improved QoE metric accuracy by 5% compared to previous methods.