Manasvi Tickoo

Lead ML Engineer

Denver, Colorado, United States14 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Computer Vision.
  • Developed state-of-the-art face verification systems.
  • Experience in embedded systems and software development.
Stackforce AI infers this person is a Machine Learning and Computer Vision expert in the tech industry.

Contact

manasvi.tickoo@gmail.comLinkedIn

Skills

Core Skills

Machine LearningComputer Vision

Other Skills

AlgorithmsCC++CommunicationDesign ThinkingEmbedded SystemsImage ProcessingLinuxMatlabPattern RecognitionPerlPythonSignal ProcessingSoftware DevelopmentSpeech Recognition

About

Currently working at Bloomberg R&D. Previously at Raytheon BBN Technologies on machine learning applications for unconstrained event detection and recounting and face recognition "in the wild" web images and videos. Experience in Machine Learning, Software Design and Development, Computer Vision, Image Processing, Embedded Systems and Speech Recognition.

Experience

Samsara

Sr ML Engineer II

Apr 2024 – Present · 1 yr 11 mos · Boulder, Colorado, United States

Bloomberg lp

2 roles

Senior ML Engineer & Infrastructure Lead

Aug 2020 – Present · 5 yrs 7 mos

Sr Market Data Engineer

Feb 2015 – Aug 2020 · 5 yrs 6 mos

Bbn technologies

Staff Scientist

Feb 2013 – Feb 2015 · 2 yrs

  • At BBN, I have been involved in the design and implementation of an in-house face verification pipeline both for web images and videos. The research efforts of our team, wherein we achieved state-of-the-art results on the challenging Youtube Face and Labeled Faces in the Wild (varying aging, pose, illumination and expression variations) datasets.
  • Multimedia video Event Detection and Recounting (IARPA Aladdin)
  • http://www-nlpir.nist.gov/projects/tvpubs/tv14.papers/bbnviser.pdf
Machine LearningComputer VisionImage ProcessingEmbedded Systems

Texas instruments

Systems Engineer Intern

May 2012 – Aug 2012 · 3 mos

  • Using onboard camera for image stabilization and interactivity with a mobile handheld projector
  • "Maintaining Distortion-Free Projection From a Mobile Device" USPTO 20140160341

Carnegie mellon university

Master's student in Electrical and Computer Engineering

Aug 2011 – Dec 2012 · 1 yr 4 mos

  • Graduate Research Assistant

Computer vision and graphics lab

Research Assistant

Aug 2011 – Jan 2012 · 5 mos · Pittsburgh

  • Video Segmentation for Freely Moving Cameras

Education

Carnegie Mellon University

MS — Electrical and Computer Engineering

Jan 2011 – Jan 2012

Delhi University

Bachelor of Engineering — Instrumentation and Control Engineering

Jan 2007 – Jan 2011

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