Available for Opportunities

Divyanshu
Bhaik

Senior Engineer · MediaTek ·

Telecom protocol engineer with expertise in VoWiFi, 4G IMS, and IPSec. Building AI-powered tools and automation frameworks at the intersection of wireless networks and machine learning.

3+
Years at MediaTek
200+
Research Citations
90%
Issue Reduction
8.86/10
CGPA · NIT Hamirpur

Skills & Expertise

🐍
Programming
Python C++ Automation Scripts API Development
Expert
📡
Wireless Technologies
VoWiFi 4G LTE IMS NAS RRC SIP
Expert
🔐
Networking & Security
TCP/IP IPSec IKEv2 ISAKMP N3GPP
Advanced
🧠
AI / Machine Learning
Prompting RAG DNN CNN TensorFlow Keras RNN/LSTM
Advanced
🛠️
Tools & Platforms
Amarisoft Linux Git VS Code Wireshark
Advanced
🧪
Testing & QA
Protocol Testing Regression SQC Integration Functional
Expert

Work Experience

MediaTek · NOIDA
Jun 2022 – Present
Senior Engineer Full-Time
  • Feature Owner for "Backup Calling" — increased coverage for feature testing in Lab and Live Network environments, resulting in ↓ 90% reported issues
  • Implemented Internal Lab Environment & Automation Setup for testing Emergency Calling requirements for Verizon, resulting in ↓ 30% CCP/DCP issues
  • Developed an AI Assistant (Prompting & RAG) that generates JSON format strings for dynamically setting Network Parameters for Amarisoft Call-Box
Python RAG Prompting Amarisoft IMS VoWiFi IKEv2

Protocol Testing Engineer Internship
Jan 2022 – Jun 2022

  • Developed Automation Test Scripts using Python for protocol validation
  • Implemented APIs to control Network & DUT behavior and validate modem logs from IMS (SIP), N3GPP (ISAKMP, IKEv2) and 3GPP (NAS, RRC)
  • Implemented VoWiFi Testing Environment in lab using Amarisoft Call-Box
  • Performed various testing: SQC, Integration, Regression, Functional
Python Amarisoft VoWiFi SIP NAS RRC ISAKMP
IIT Jodhpur · Dept. of CSE
May 2021 – Jul 2021
Research Intern Research
  • Worked on Earthquake Prediction using AI methods with the Stanford Earthquake Dataset (STEAD) from Kaggle
  • Performed data pre-processing and fine-tuning of AI models including RNN and LSTM
  • Evaluated models using Accuracy, Sensitivity (Recall), Specificity, Precision, F1 Score, and Confusion Matrix
Python RNN LSTM TensorFlow Keras

My Education

🎓
Graduated · June 2022
National Institute of Technology, Hamirpur
Electronics & Communication Engineering · B.Tech + M.Tech (Integrated)
8.86
B.Tech CGPA / 10
8.30
M.Tech CGPA / 10

Publications & Research

ELSEVIER · Biomedical Signal Processing and Control
A Deep Learning Based Approach for Automatic Detection of COVID-19 Cases using Chest X-Ray
📅 Sep 23, 2021 👁️ 532 Reads 📖 200 Citations
  • Applied C-GAN for Image Segmentation and extracted image features using SIFT and BRISK algorithms
  • Combined acquired key points with CNN models including VGG-16 and DenseNet-169 for COVID-19 classification
  • Proposed method outperformed existing approaches with state-of-the-art metrics
96.60%
Accuracy
95.00%
Sensitivity
97.40%
Specificity
200+
Citations
View Paper →

Featured Projects

🫁
GitHub →
Lung Cancer Detection
Detection of lung cancer and malignant nodules from chest CT scans using watershed algorithm with Sobel filters and CNN architectures including VGG16 transfer learning on the LUNA16 dataset.
Python CNN VGG16 Image Processing
🦠
GitHub →
COVID-19 Detection
Deep learning pipeline for COVID-19 detection from chest X-rays using C-GAN segmentation, SIFT/BRISK feature extraction, and VGG-16 / DenseNet-169 transfer learning. Basis for the published Elsevier paper.
Python C-GAN VGG-16 DenseNet TensorFlow
📡
GitHub →
CSI Estimation in 5G
Channel State Information estimation for 5G wireless networks using deep learning techniques, combining telecom domain expertise with neural network modelling.
MATLAB Deep Learning 5G Wireless
🚗
GitHub →
Smart Road Assistant
AI-powered road safety system using computer vision to detect hazards and prevent accidents through real-time intelligent alerting and driver assistance.
Python Computer Vision AI Safety
👁️
GitHub →
YOLO Object Detection
Implementation of the YOLO (You Only Look Once) real-time object detection algorithm applied to both static images and live video streams using Python and OpenCV.
Python YOLO OpenCV Computer Vision
Text-to-Braille Converter
Assistive technology device that converts written text into Braille output using an Arduino UNO microcontroller, bridging digital text with tactile reading for the visually impaired.
Python Arduino IoT Assistive Tech

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