Sriram Ramakrishnan

Sriram Ramakrishnan Email and Phone Number

Software Engineer @ Bosch USA
United States
Sriram Ramakrishnan's Location
United States, United States
Sriram Ramakrishnan's Contact Details

Sriram Ramakrishnan work email

Sriram Ramakrishnan personal email

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About Sriram Ramakrishnan

Sriram Ramakrishnan is a Software Engineer at Bosch USA. Colleagues describe him as "I really enjoyed working with Sriram who is focused and passionate about the work on computer vision and object tracking. He's proficient with Python, C++ and libraries like OpenCV and VisionWorks. He also has good communication and people skills.", "Sriram is highly talented and hard working person. he has been associating with me for the past two years (both in Maples imaging and Aricent). He has shown excellent technical and interpersonal skills during our project execution. His knowledge towards image processing algorithm development,matlab is incredible. He learnt C++,OPENCV in quick time and converted our video data analytics algorithm in C++. I would recommend sriram for any complex work and he is an assert for the team he works for.", and "Sriram is a hard working guy with strong Technical skills in C, C++, Image Processing, Open CV. Has has taken up a research Project under the collaboration with Directorate of Science and Technology. He solely worked in Acquiring different family of parasitic images and classified them based on the parameters using Matlab and published a International Paper. He is highly efficient in writing algorithm using Matlab, C++ and identified the best algorithm needed for the classification of the parasites. He demonstrated his work with different Organisations during his work and got the appreciations as well. He always has a tendency to help others technically even if it is Embedded system. I closely worked with him for two years, He helped me a lot."

Sriram Ramakrishnan's Current Company Details
Bosch USA

Bosch Usa

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Software Engineer
United States
Website:
bosch.us
Employees:
133
Sriram Ramakrishnan Work Experience Details
  • Bosch Usa
    Software Engineer
    Bosch Usa
    United States
  • Bosch Usa
    Software Engineer
    Bosch Usa Sep 2018 - Present
    Farmington Hills, Mi, Us
  • Nexteer Automotive
    Algorithm Engineer Adas
    Nexteer Automotive Jul 2017 - Aug 2018
    Auburn Hills, Michigan, Us
    Contract PositionC++/OpenCV development on various computer-vision related projects, e.g. image acquisition, processing, camera calibration, and tracking.Development of LCA algorithm as a sub-system for autonomous steering control, which will assist the ACC system. The purpose of the system is to support the vehicle to stay in the center of the lane, using the information like lateral offset, heading angle, the radius of curvature and curvature derivative which is derived from robust long-range lane detection algorithm.Responsibilities: Research and study of the existing system (Mobileye, Tesla, etc.).Algorithm design and development lane detection using classical image processing. Continuous system testing and performance improvement. Algorithm porting on to Nvidia Jetson Tx2 Frame using CUDA and Nvidia VisionWorks library.Camera to Physical world mapping i.e., pixel to inches calibration.Benchmarking algorithm against Mobileye and TeslaSoftware development on Linux Operating System using Git for version control.
  • Magna International
    Algorithm Engineer Adas
    Magna International Jan 2017 - Jul 2017
    Aurora, Ontario, Ca
    Contract PositionImplementation of image processing algorithms for picking up dirt characteristics • Extraction of attributes from real-time data with varied climate conditions • Data exploratory analysis on features and data clean up based on feature importance. • Built Machine learning models. • Integration (pure embedding) of C++ & Python using Python C-API
  • Aricent
    Senior Software Engineer
    Aricent Oct 2014 - Jun 2016
    Santa Clara, Ca, Us
    Driver Distraction detection: This is a safety system project for automobile. The main goal of this project to alert the driver when not paying attention towards the roads. It includes driver being drowsy and distractions i.e. not focusing on the road. Research, analysis, and implementation of various algorithms for eye gaze tracking in C/C++ using openCV. The developed system was a real-time classical vision based module to alert the driver.Responsibilities:Development of eye gaze approximation based on pupil detection • Implemented the alert system based on PERCLOS – percentage of eye closure over FPS. • Writing Native C Code to produce exact same result as produced in openCV or any open source library. The code was made ready for embedded platform. • JNI wrapper for executing Native-C driver distraction on Android platform. (IMX Freescale board with Android prebuilt image) • TDA3x porting – Involved in contribution of plugin development for driver distraction by forking the existing sample Lane detection application provided by TI.
  • Maples Imaging Solution Private Limited
    Software Engineer
    Maples Imaging Solution Private Limited Jan 2014 - Oct 2014
    Somerset,, Us
    Responsibilities: Algorithm developmentDevelopment of customized C++ header file for most of the algorithm commonly used in Digital Image Processing. Projects:Content-Based Image Information retrievalDesign, implementation of algorithms Challenges to overcome was distinguish between object and text region This included: - • Specific properties of text are analyzed and implemented effectively. • MSER based segmentation was implemented Low-level binary processing using connected component and region properties were used for segmentation • Pre-processing of extracted regions for improved OCR accuracy.• Implementing of code in an optimized way using parallel programming concepts (used openCV parallel processing)Face Detection and Recognition in WildResearch and study of various techniques for recognition of face • Face detection – Haar cascade classifier model was built using Matlab with faces of 30-degree profiles to improve the detection accuracy. • Facial landmarks are obtained to align the face, estimate the pose and to extract features. • To recognize the detected face, the facial features are searched for images with matching features using Intra and inter-class difference. • Created a Java/JNI API wrapper in order to execute C++ library on Java source code. • Porting of codes written in MATLAB to OpenCV C/C++ code • Integrating of modules. • Analysis of the overall system for algorithm fine tuning with parameters and its effect on the system for improvement in results. • Sharing Knowledge on OpenCV library to the team
  • Council Of Scientific And Industrial Research
    Junior Research Fellow
    Council Of Scientific And Industrial Research Oct 2011 - Dec 2013
    In
    Malarial Parasite Detection: The project focuses on Automation of malarial parasite detection. This is Government of India (DST) funded project.Responsibilities:Developed hardware for image acquisition from Microscope. • C++ and Matlab programs for image processing were developed enabling automatic image analysis to detect and classify the malarial parasites, which reduces the complexities in conventional microscopic diagnosis. • Implemented image enhancement and artifact removal algorithms on C using MEX. • Annular ring ratio method using morphological operations was implemented to locate the RBC’s. • Developed tool for Analysis of data and to create models based on statistical discriminant features for efficient classification • Implemented GUI to manage Acquisition and Training of data for Neural Networks. • Developed application wizards using INNO setup to provide users with an interface that takes them through a series of steps for installation of dependencies at ease.A journal titled “Computer Aided malaria diagnosis for JSB stained white light images using neural networks” was published on August 2013. Alos oral presentation was given at National instrumentation symposium for the paper titled “Parasite detection and Classification Using Principal Component Analysis” on October 2012
  • University Of Bologna
    Research Student
    University Of Bologna Jan 2011 - Jul 2011
    Bologna, Italia, It
    Quantifying coronary sinus lead position in 3D domain to test it by comparing the CS lead position at implant and at six months using chest fluoroscopy.European Union funded project worked at University of Bologna, Italy.
  • Amrita University
    Research Student
    Amrita University Jan 2010 - Jun 2010
    Methods and various techniques on computational drug designingPublished:Insilico Analysis of Nano Polyamidoamine (Pamam) Dendrimers", Sriram Ramakrishnan, et al., International Conference on Nano Science and Technology (ICONSAT-2010), IIT Bombay

Sriram Ramakrishnan Education Details

  • Alma Mater Studiorum – Università Di Bologna
    Alma Mater Studiorum – Università Di Bologna
    Bioinformatics
  • Amrita University
    Amrita University
    Biomedical Engineering
  • Anna University Chennai
    Anna University Chennai
    Biomedical

Frequently Asked Questions about Sriram Ramakrishnan

What company does Sriram Ramakrishnan work for?

Sriram Ramakrishnan works for Bosch Usa

What is Sriram Ramakrishnan's role at the current company?

Sriram Ramakrishnan's current role is Software Engineer.

What is Sriram Ramakrishnan's email address?

Sriram Ramakrishnan's email address is sr****@****osch.us

What schools did Sriram Ramakrishnan attend?

Sriram Ramakrishnan attended Alma Mater Studiorum – Università Di Bologna, Amrita University, Anna University Chennai.

Who are Sriram Ramakrishnan's colleagues?

Sriram Ramakrishnan's colleagues are Stefano Lorenzoni, Jorge Alvarez, Gröger Ulrike (Ps/ne-El), Andrew Krcmarik, Jibin V.s, Xin Deng, Tyler Childress.

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