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Yaswanth Kumar Rayiti

Electronics & Communication Engineer | Wireless Networks & Telecom • Srikakulam, India • y****************@gmail.com • 938****748 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Wireless Network Engineer with 0 years of experience specializing in telecom systems, wireless communications and network testing. Hands-on BSNL internship supporting wired, wireless and optical-fiber operations; published research on Massive MIMO (MRT vs ZF) and experienced with MATLAB-based simulation, IoT prototyping and cloud alerts.

Technical Skills

Programming Language: Java,MATLAB,SQL,4G LTE,5G,Massive MIMO,Beamforming MRT, ZF,802.11b,802.11g,802.11n,2.4 GHz,5 GHz,6 GHz,WPA2,WPA3,LM35,AD8232,SpO2 sensor,Blood pressure sensor,Rayleigh fading,SINR,SNR,Precoding
Frontend Technologies: Signals
Backend Technologies: Fiber
Cloud Platforms: Cloud computing,Google Cloud
Version Control & Development Tools: Visual Studio Code,Git,GitHub
Data Analysis & Visualization: Exploratory Data Analysis
Machine Learning & AI: Supervised Learning,Machine Learning
Networking & Infrastructure: 802.11ax,OSI Model,TCP,UDP,LAN,WAN,DHCP,DNS,NAT
Microcontrollers & Processors: Arduino,ESP8266

Work Experience

BSNL (Bharat Sanchar Nigam Limited)
Visakhapatnam, India
Intern
Jun 2025 – Jul 2025
Worked at BSNL, India's state telecom operator, supporting live wired, wireless and optical-fiber network operations in the Visakhapatnam circle.
Tech Stack: 4G LTE, 5G, Massive MIMO, Beamforming MRT, ZF, Optical fiber, 802.11n, 802.11ax, CDMA, DHCP, DNS
  • Configured and tested wired access and Wi‑Fi equipment across 2.4 GHz and 5 GHz bands; validated connectivity and channel allocation using Wi‑Fi diagnostics and basic LAN troubleshooting methods.
  • Assessed 4G → 5G transition technologies by observing Massive MIMO behavior and documenting trade-offs between MRT and ZF precoding to support migration analysis.
  • Assisted in optical fiber link testing and fault diagnostics; recorded attenuation and link-test observations to support capacity planning and restoration activities.
  • Worked with CDMA and switching infrastructure teams to trace call/session flows and helped execute maintenance checks during scheduled windows.
  • Collected configuration and live performance data from sites serving thousands of subscribers; prepared technical notes identifying coverage and throughput bottlenecks.
  • Presented internship findings and recommended beamforming parameter and Wi‑Fi channel planning adjustments to local engineers to improve spectral efficiency.

Projects

Spectral Efficiency Analysis of Massive MIMO Using MRT & ZF Beamforming | Nov 2025 – Apr 2026
Tools Used: MATLAB, Massive MIMO, Beamforming MRT, ZF, Rayleigh fading, SINR, Signal processing
  • Designed and simulated a multi-user Massive MIMO downlink in MATLAB under Rayleigh fading to compare MRT and ZF precoding approaches.
  • Implemented MRT and ZF precoding algorithms and measured per-user SINR and overall spectral efficiency across varying SNR, antenna (M) and user (K) counts.
  • Derived and validated the received signal model, ZF precoding matrix and closed-form SINR expressions used in the analysis.
  • Observed and reported that ZF precoding delivers higher spectral efficiency at high SNR in the tested scenarios; documented results for publication.
Smart Hospitals using IoT | May 2024 – Jul 2024
Tools Used: Arduino, ESP8266, LM35, AD8232, SpO2 sensor, Cloud computing
  • Built a real-time patient monitoring prototype using Arduino and ESP8266 to stream telemetry from six sensors (temperature, ECG, SpO2, blood pressure).
  • Implemented cloud-based alerting for abnormal vitals and integrated a lightweight anomaly detection routine to flag events.
  • Developed firmware and data formatting for reliable telemetry; used Git for version control and iterative testing.
  • Validated system behavior with simulated patient inputs and documented alert thresholds and end-to-end data flow.

Education

GMR Institute of Technology (GMRIT), Rajam
B.Tech, Electronics and Communication Engineering • Rajam, India • 2022 – 2026
Sri Chaitanya Junior College, Srikakulam
MPC (Higher Secondary) • Srikakulam, India • 2021 – 2022

Certifications

Introduction to Artificial Intelligence — IBM
Supervised Machine Learning: Regression — IBM
Introduction to Generative AI — Google Cloud
Coding Interview Preparation — Meta
Introduction to Cloud Computing — IBM
Exploratory Data Analysis for ML — IBM
Introduction to Cybersecurity Fundamentals — Coursera

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