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Abhinav Dipu

Abhinav Dipu

Deep Learning Compiler

Engineering / Architecture

Tempe, Maricopa

Social

About Abhinav Dipu:

Study Nature (Science) & Develop Technology ..

Experience

Research & Development Intern  ( GEMM , TinyML , ONNX , Computer Vision)

Lattice Semiconductor Corporation                                                                                        May 2022-Jan2023

  • TinyML : Software flow for BARVINN Accelerator for Crosslink NX for CNN 
  • Onnx : Using Onnx as IR for grouping a layer for custom operations for TF models

 

Senior Engineer       ( 5G, XRAN , Linux , C++ , DPDK, Multi-threaded application)

Radisys India Pvt Ltd, Bengaluru, India ,                                                            October 2020 -May 2021

  • 5G DU Project: Solved the issue of packet-loss at high throughput (> 20 Gbps ) & built a software tool to identify , 5G XRAN based Feature development in a DPDK based C++ Application

Senior Software Engineer    ( 5G , RU , Device Driver , DPDK , FreeRTOS)

Puresoftware Pvt Ltd, Noida, India,                                                                  September 2019 – September 2020

  • 5G RU Project – Development of fronthaul code (eCPRI Protocol) , Packet forwarding using DPDK

 

Research and Development Engineer (PCIe , BSP , VPN-IPSec , Device Driver , Network Processor)

Logic Fruit technologies, Gurugram, India,                                                        December 2017 - July, 2019

  • Developed & validated device driver for PCIe Endpoint device on linux using BAR, DMA for custom SoC 24 Cores [Tensilica Xtensa]
  • Implementation of VPN-IPSec using standard Encryption/Decryption technologies like AES, 3-DES & integrity checks like Hashing Algo – MD5 , SHA 1 & SHA 256 & iplookup using trie

Software Engineer ( Multi-threaded Application, .NET Framework)

Finisar Malaysia Sdn Bhd , Ipoh, Malaysia,                                                        December 2014 – December 2017

  • Built Automated Testing Application for 40G, 100G Transceivers which tested , captured the results, built charts
  • Reduced test-time by 50% (from 25 min to 11 min) using multi-threading (.NET Framework ) 
  • Reduced cost by 50% by deploying automatic barcode-scanning & testing using fixed cameras

Education

Arizona State University, Tempe, AZ 

Master of Science, Computer Science                                                     Fall 2021- Fall 2023 (Ongoing)

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