Mughunth Srinivasan

AI Researcher

Bengaluru, Karnataka, India4 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in AI-driven solutions for telecommunications.
  • Proven track record in performance optimization for LTE systems.
  • Strong background in machine learning and signal processing.
Stackforce AI infers this person is a Telecommunications Engineer specializing in AI and DSP technologies.

Contact

Skills

Core Skills

LteAiMachine LearningSignal Processing

Other Skills

Object-oriented SoftwareCommunicationMatlabCNNConvolutional Neural Networks (CNN)Large Language Models (LLM)Multithreading3GPPWLANMulti-coreArtificial Intelligence (AI)Natural Language Processing (NLP)Oral CommunicationReal-Time Operating Systems (RTOS)Perforce

About

A passionate Telecom engineer who loves to learn, code and explore how things actually work instead of being monotonic bookworm.

Experience

4 yrs 9 mos
Total Experience
2 yrs 3 mos
Average Tenure
3 mos
Current Experience

Silicon labs

Senior AI/ML Engineer

Feb 2026Present · 3 mos · Hyderabad, Telangana, India

Mediatek

LTE DSP Firmware Engineer

Oct 2022Feb 2026 · 3 yrs 4 mos · Bengaluru, Karnataka, India · On-site

  • Worked as part of the LTE DSP Development Team, specializing in performance optimization,
  • feature development, system-level debugging, and maintenance of the Scheduler module
  • and Bit Rate Processing module in a resource constrained, multi-threaded environment.
  • 2.Involved in design and coding of 2 major timing and memory optimization for Next
  • generation SoCs.
  • 3.Configured DSP processors for executing computationally intensive tasks and efficient
  • demodulation of data.
  • 4.Performed in-depth analysis of modem logs, crash dumps, and real-time traces to identify
  • anomalies, ensure standards compliance, and implement fixes aligned with 3GPP LTE
  • protocol specifications.(36.211, 36.212, 36.213).
  • 5.Involved in development of automation tool for LTE/NR log analysis and intelligent decision
  • making using ML and state of art LLM.
  • 6.Served as a core member of the AI strategy committee, contributing to roadmap planning,
  • use-case identification, and feasibility assessment of AI-driven solutions
Object-oriented SoftwareLTEAI

Is-wireless

DSP Engineer

Dec 2019Feb 2021 · 1 yr 2 mos · Warsaw, Masovian District, Poland · Hybrid

  • Pre-processing of time domain IQ samples such as decimation and filtering.
  • 2.Built a CNN which takes complex IQ samples as input and predicts the modulation used in the
  • signal with 85% prediction accuracy.
  • 3.Hyper-parameter tuning and regularization of the model to increase the prediction accuracy
  • 4.Literature review on existing state of art IEEE research papers on modulation recognition
CommunicationMatlabMachine LearningSignal Processing

Education

Warsaw University of Technology

Master of Science - MS — Telecommunications Engineering

Jan 2018Jan 2023

TRP Engineering College - India

Bachelor of Engineering

Jan 2014Jan 2018

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