CV

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Education

• B.Tech and M.S by Research Dual Degree in Electronics and Communication Engineering,
  International Institute of Information Technology - Hyderabad.
  Graduated - Dec 2021.

• Ph.D. in Computer Science
  School of Computer Science, National University of Singapore.
  2023 - Present

Work experience

• Texas Instruments July 2022 – July 2023
  Digital Design Engineer - Physical Design Bengaluru, India
  • Worked on three micro partitions’ block-level synthesis, top-level synthesis, LEC closure and ECOs implementation for 45nm process high-performance microcontroller SITARA AM263P.
  • Worked on RTL to GDSII implementation of a sub-block and parallelly handled the top-level synthesis for SITARA AM261. Also, worked on STA and constraints coding.
• Innopark Nov 2021 – Jan 2022
  Embedded Firmware Programmer Intern Hyderabad, India
  • Worked on STM32 and ESP32 based device which involves BLE and WiFi communication and cloud communication using mobile app
• Texas Instruments May 2021 – July 2021
  Digital Design Intern - Physical Design Bengaluru, India
  • Developed a service to automatically retrieve set of information related to RTL synthesis using Cadence Genus.

Skills

• Languages: Python, C/C++, Verilog, Tcl/Tk, Shell, System Verilog, HTML/CSS, JavaScript, SQL
• Tools, Frameworks and Libraries: Cadence Genus, Conformal Equivalency Checker, Cadence Tempus, Keras, scikit-learn, Github, OpenCV, Cadence Virtuoso, NI Multisim, QGIS, Arduino, Xilinx Vivado

Publications

1. “Beyond Broadcasting: Revisiting FM Frequency-band for Providing Connectivity to Next Billion Devices” Paper presented at 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems 2023, Paper
2. “The application of mobile sensing to detect CO and NO2 emission spikes in polluted cities” Published in IEEE Access, Journal
3. “Development of End-to-End Low-Cost IoT System for Densely Deployed PM Monitoring Network: An Indian Case Study” Journal accepted in Frontier in Internet of Things.
4. “Maximum Frequency based Adaptive Sensing for Particulate Matter Nodes in IoT Network” Paper presented at IEEE 7th World Forum on Internet of Things 2021, Paper
5. “Hierarchical Clustering based Spatial Sampling of Particulate Matter Nodes in IoT Network” Paper presented at The IEEE 8th International Conference on Future Internet of Things and Cloud 2021, Paper
6. “Improving Spatio-Temporal Understanding of Particulate Matter Using Low-Cost IoT Sensors” Paper presented at 31st IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2020, Paper
7. IoT Network Based Analysis of Variations in Particulate Matter due to COVID-19 Lockdown Paper presented at IEEE 7th International Conference on Electronics, Computing and Communication Technologies 2021, Paper

Patent

• “Air quality monitoring device for monitoring and air quality with less energy consumption,” India Patent Appl. Num. 202 141 021 963, May, 2021

Teaching Activities

• Teaching Assistant
  • Embedded Systems Workshop course for Sophomores during Monsoon-2019
  • Introduction to Internet of Things course for Freshers during Spring-2020
  • Embedded Systems Workshop course for Juniors during Monsoon-2021
• Mentor, IoT and Smart Analytics PG Certificate in IoT and Smart Analytics

Awards

• NUS Research Scholarship for pursuing PhD at NUS.
• Top 8 position in “Venture with Air” Hackathon held by University of Helsinki, Finland and Slush which saw proposals from 12 different countries
• Research List award for the Academic year 2019-2020
• Research List award for the Academic year 2020-2021
• Dean’s List for the Semester Spring 2020
• Merit List for the Academic year 2020-2021
• Huawei Scholarship for Excellence for the year 2021