Kumari Abhilasha

Software Engineer

Muzaffarpur, Bihar, India3 yrs 10 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in telephony frameworks and network optimization.
Developed innovative machine learning solutions for healthcare.
Strong background in C++ and Python programming.

Stackforce AI infers this person is a Telecommunications and Machine Learning specialist with a focus on network optimization and AI-driven applications.

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Skills

Core Skills

C++Machine Learning

Other Skills

Machine Learning AlgorithmsPythonNLPJavaSoftware DesignContinuous Integration and Continuous Delivery (CI/CD)C++0xNetworkingHigh-Level DesignLow-Level DesignFastAPIRequirements GatheringPIPSoftware DevelopmentBuilding Models

About

Hi! I'm Kumari Abhilasha, a Network Framework Engineer at Samsung Research Institute in Noida since July 2022, specializing in telephony frameworks. I have hands-on experience with Java, C++, and Python. I’ve developed various proof of concepts and optimization solutions in machine learning. I have an M.Tech in Information Security from NIT Patna, where I also got into deep learning with Python. I've worked on projects like predicting heart disease, classifying brain tumors and EEG classification. I'm always looking to learn more and take on new challenges. If you’re looking for someone who’s enthusiastic and versatile, let’s connect!

Experience

3 yrs 10 mos

Total Experience

3 yrs 7 mos

Average Tenure

3 mos

Current Experience

Microsoft

SDE - 2

Mar 2026 – Present · 3 mos · Bengaluru · On-site

Samsung r&d institute india

Software Engineer

Jul 2022 – Feb 2026 · 3 yrs 7 mos · Noida, Uttar Pradesh, India · On-site

Analysed and maintained network issues in telephony, network, and radio interface layer.
Implemented VoNR and PLMN features, showing. expertise in 3G/4G/5G networks and handovers.
IImplemented code refactoring techniques that successfully reduced call waiting time from 30s to 30ms.
Developed a mobile application implementing sentiment analysis with NLP techniques to enhance user experience through emotion-based avatars using python.
Developed a solution for optimised network handover to save upto 30% battery.
Contributed to the design and implementation of an IPC enabling efficient data sharing between the
application and modem layers.
Utilized C++ and Java to develop and maintain network-related features.

C++Machine Learning AlgorithmsMachine Learning