Abhishek Sharma

Software Engineer

Noida, Uttar Pradesh, India3 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in real-time audio systems and low-latency processing.
Proven track record in AI-driven optimizations for audio quality.
Skilled in enhancing media pipeline efficiency and reliability.

Stackforce AI infers this person is a Telecommunications Software Engineer specializing in real-time audio processing and AI optimizations.

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Skills

Core Skills

C++Real-time Audio Processing

Other Skills

JavaVoWiFiVoLTEpacket encoding/decodingresamplingVADcomfort noise generationpacket reorderingOPUS codecWebRTCtranscoder functionalityAI-based adaptive jitter bufferPythonVoIP simulation toolAndroid

About

Innovative Software Engineer with a strong focus on real-time audio systems, low-latency processing, and AI-driven optimizations. With expertise in C++, transcoding, and real-time voice/audio processing, I have built and optimized core components of modern audio streaming engines—improving media quality, system responsiveness, and end-user experience. My work includes enhancing media pipeline efficiency, applying AI/ML models for adaptive processing, and ensuring reliability in dynamic and high-mobility environments. I thrive on building scalable, high-performance software solutions across audio, media, and real-time domains, and I’m passionate about crafting intelligent systems that power seamless and efficient digital experiences.

Experience

3 yrs 11 mos

Total Experience

3 yrs

Average Tenure

10 mos

Current Experience

Microsoft

Software Engineer 2

Aug 2025 – Present · 10 mos · Noida, Uttar Pradesh, India · Hybrid

C++Java

Samsung r&d institute india

2 roles

Software Engineer

Promoted

Jun 2022 – Jul 2025 · 3 yrs 1 mo · Noida, Uttar Pradesh, India

Developed VoWiFi/VoLTE voice engine with features like packet encoding/decoding, resampling, VAD, comfort noise generation, and packet reordering.
Enhanced OPUS codec support, achieving 100% WebRTC compliance and improving call quality by 15%.
Designed transcoder functionality for Windows ARM/x86/x64, reducing latency by 25% and improving call setup time by 20%.
Integrated AI-based adaptive jitter buffer algorithms, reducing latency by 15% and improving PLC by 5%.
Built a Windows-based VoIP simulation tool to debug transcoder functionality, improving troubleshooting efficiency by 30%.
Automated log extraction and parsing with Python, cutting manual effort by 60% and doubling AI model training speed.
Developed an Android-based phone call emulator using PCAP data, improving AI model performance and call clarity by 15%.
Conducted unit testing, ensuring 99% code accuracy, and resolved production issues to enhance system stability by 20%.
Resolved 200+ platform-level issues, reducing recurring software faults by 50%.
Contributed to Samsung Live Translation by optimising Hindi ASR with segmentation-based punctuation restoration and rule-based text correction, improving punctuation accuracy by 32%.

VoWiFiVoLTEpacket encoding/decodingresamplingVADcomfort noise generation+10

Research And Development Engineer

Feb 2022 – Jun 2022 · 4 mos · Noida, Uttar Pradesh, India

Attained SW Advanced Grade Competency in May 2022 for outstanding performance.
Automated diagnostic log extraction, reducing manual effort by 60% and accelerating debugging.
Developed diagnostic tools for log analysis, cutting issue resolution time by 35%.