Saeejith Nair Email & Phone Number
Who is Saeejith Nair? Overview
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Saeejith Nair is listed as Cohort 2.s at FR8, a with 27 employees, based in Waterloo, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Saeejith Nair.
Saeejith Nair previously worked as Software Engineering Intern | Sensors at Nuro and Undergraduate Research Assistant | Robotic Grasping at University Of Waterloo. Saeejith Nair holds Master'S Of Applied Science (Masc), Systems Design Engineering from University Of Waterloo.
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About Saeejith Nair
I'm currently a PhD candidate at UWaterloo's Vision and Image Processing Lab, and previously graduated with a MASc in Systems Design Engineering & BASc in Mechatronics Engineering with an Option in Artificial Intelligence (also at the University of Waterloo).I enjoy working on projects at the intersection of efficient ML, embedded systems, and robotics, and thinking about how we can build systems capable of open-ended learning.
Listed skills include Programming, C++, Java, Object Oriented Programming, and 19 others.
Saeejith Nair's current company
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Saeejith Nair work experience
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Software Engineering Intern | Sensors
Brought up hardware accelerator for next-gen radar chip on self-driving delivery robot. Implemented accelerated routines for digital signal processing algorithms and optimized on-chip radar DSP pipeline (mostly pure C with a tiny bit of assembly).
Undergraduate Research Assistant | Robotic Grasping
Developed a rigid-body grasping simulator in PyBullet and used synthetic demonstration data to train a planner for robotic assembly tasks.
Software Engineering Intern | Robots
Onboard and embedded communications infrastructure for radar driver module on self-driving delivery robot. Improved sensor data throughput and firmware upgrade speeds (mainly C, C++, Python, CAN-FD, Ethernet).
Software/Electrical Engineer | Radar Driver Subteam
Core member on the WATonomous student design team working to build a level 4 autonomous vehicle for the SAE AutoDrive Challenge.• Working on optimizing the existing radar driver implementation in C++ and ROS by applying more intelligent filtering methods, mitigating interference, and improving the existing point cloud visualization
Embedded Machine Vision Developer Intern
Designed real-time, multithreaded video analysis application in C++ for low power embedded platform (i.MX8M Mini board with 4xA53 ARM cores)• Refined low-latency multi-object tracking algorithms in OpenCV, improving tracking accuracy by 230%• Improved detection accuracy on pedestrian rich images by performing transfer learning on MobileNet SSD network with Tensorflow, and quantized model with TfLite to optimize for embedded use• Developed internal library to accelerate CPU based inference using ArmNN and integrated it into existing toolchain with Bitbake, reducing inference time by 460ms• Automated CI pipeline using Jenkins to validate tracking performance against global MOT benchmark
Embedded Software Engineering Intern
Worked across embedded software engineering teams to develop, test, and debug firmware for use on ruggedized single board computers • Implemented, validated, and released features for U-Boot bootloaders to perform PBIT tests, control onboard sensors over UART using IPMI, and update firmware images over JTAG interface (C, KBuild) • Designed tool utilizing RSA based encryption in Python to securely transfer payloads to customers • Received award for driving debug and validation efforts of VxWorks & Yocto Linux BSPs, BIOS, and bootloaders
Vision And Ai Processor System Level Design Intern
Worked on Design Verification & Validation team to architect an internal tool for simulating DMA performance of NXP's next-gen S32V SoC for ADAS. • Analyzed simulation results and register level waveforms to identify bugs in SystemVerilog RTL resulting in 2.73x improvement in DMA bandwidth. • Automated data visualization from overnight regression tests to proactively diagnose performance issues.
Junior Front End Web Developer
Worked on project to migrate the Home Depot Canada site to React• Developed React components for an internal front-end library• Automated bilingual content translation for global navigation flyout by building a web scraping tool that found the equivalent product description in French given an English product group.• Developed Python tool to conduct Market Basket Analysis on e-commerce consumer data• Used Gulp to automate icon generation and optimize distribution build processes
Academic Tutor
The Oxford Learning method believes that there's more to tutoring than helping kids master content - what's more important is teaching them how they can master that content by themselves in the future. As an academic tutor, I worked one-on-one with students from KG - Grade 12, imparting study skills and expertise in Reading, Writing, Math, Physics, and Chemistry. My ability to explain challenging and technical Math & Science concepts, combined with an infectious drive to pass on to students my enthusiasm for learning, made me a highly sought after tutor within the centre.
Summer School Teaching Assistant
Worked closely with school principal in an administrative capability while also supporting teachers in classroom activities.
Saeejith Nair education
Master'S Of Applied Science (Masc), Systems Design Engineering
Bachelor'S Of Applied Science (Basc), Mechatronics Engineering
Education record
Frequently asked questions about Saeejith Nair
Quick answers generated from the profile data available on this page.
What company does Saeejith Nair work for?
Saeejith Nair works for FR8.
What is Saeejith Nair's role at FR8?
Saeejith Nair is listed as Cohort 2.s at FR8.
Where is Saeejith Nair based?
Saeejith Nair is based in Waterloo, Ontario, Canada while working with FR8.
What companies has Saeejith Nair worked for?
Saeejith Nair has worked for Fr8, Nuro, University Of Waterloo, Watonomous, and Arcturus Networks.
How can I contact Saeejith Nair?
You can use AeroLeads to view verified contact signals for Saeejith Nair at FR8, including work email, phone, and LinkedIn data when available.
What schools did Saeejith Nair attend?
Saeejith Nair holds Master'S Of Applied Science (Masc), Systems Design Engineering from University Of Waterloo.
What skills is Saeejith Nair known for?
Saeejith Nair is listed with skills including Programming, C++, Java, Object Oriented Programming, Python, Css, Microsoft Office, and Leadership.
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