Jun 2019 – Oct 2022 · 3 yrs 4 mos · Bengaluru Area, India

• Worked as a Senior Software Engineer in the Platform Optimisation team of the ADAS division.
• Task(s):
• 1. Porting, optimization, and validation of Patch Correlator for Flow Track Refinement on TIs TDA4VM SoC.
• 2. Porting and optimization of the Video Object Detection & Classification algorithm from TDA2x to TIs TDA4VM SoC.
• 3. Development of optimized Computer Vision Library for ARM based Cortex-A processors, using NEON intrinsics.
• 4. Optimization and Maintenance of Video Object Detection & Classification algorithm on TI’s TDA2x/3x.
• 5. Incorporating TI’s Deep Learning Library (TIDL) for LIDAR based Quick Object Recognition, ported, and running on TI’s TDA2x.
• 6. Development of optimized algorithmic kernels for TI’s TDA2x/3x EVE core - Bitonic Sorting, FFT and Hough Transform, operating on 16-bit data.

Nov 2018 – Jun 2019 · 7 mos · Bengaluru Area, India

• Working as a Software Engineer in the Imaging & Vision team of PathPartner Technology.
• Project(s):
• 1. Porting and optimization of Facial Landmark Detection System to TI’s TDA2x/3x processor.

May 2018 – Oct 2018 · 5 mos · Bengaluru Area, India

• Rampup on Processor Architecture, SIMD and Performance Optimisation.
• Project(s):
• 1. Deep Learning Convolution Optimisation using ARM Compute Library.
• Summary -
• ✔ To optimize existing convolutional layer reference C code, of a neural network based
• classifier (for Traffic Sign Recognition) using ARM NEON instructions present in ARM
• Compute Library
• ✔ To extract the relevant NEON code out of ARM Compute Library and adapt it for use
• within the given TSR implementation.
• Tools & Environment: Raspberry Pi B+ , Linux

Apr 2016 – Apr 2018 · 2 yrs · Kharagpur Area, India

• Worked as a JRF in the E-Business Centre of Excellence, Dept. of Industrial & Systems Engg.
• 1. Developed a library of prototype software solutions for solving complex optimization problems in the area of logistics, supply chain and operations management areas for MSME, agriculture and self help groups.
• 2. Developed methodologies for analyzing huge data collected from e-transactions in the airlines industry, to discover knowledge about operations.
• Course(s) Audited:
• 1. Machine Learning
• 2. Speech and Natural Language Processing
• 3. Foundations of Computing Science
• 4. Decision Modeling
• 5. Data Analytics
• Other Project(s):
• 1. “Semi-supervised label propagation approach for identifying derivational nouns in English”, under the Speech & NLP course.
• 2. “Implementation of Machine Learning towards detection of congestion in a given road network”, under the ML course.

May 2014 – Jul 2014 · 2 mos · Mumbai Area, India

• Worked as a Summer Research Intern under Prof. D.B. Phatak, Dept. of Computer Sc. & Engg.
• Objectives:
• 1. To develop an Ultra Low Cost USB Development Board-Anuduino as a substitute for the expensive Arduino to greatly motivate learners to delve into the field of electronics. 
• 2. To prove the worth of Anuduino by performing experiments comprising of interfacing different sensors starting from simple LEDs, Relays, Hall Effect Sensors etc. to much complex communication modules as Bluetooth, Zigbee and GSM Modules. 
• 3. To develop a prototype of modular approach for Single Room Home Automation using Anuduino and InfraRed as the means of communication.
• The GitHub link to the same is : https://github.com/androportal/anuduino-projects