Machine Learning Engineer
Resume:
Education
****-**** ****** ** ******* GPA *.** (V. Good) University of Hamburg, Germany
Intelligent Adaptive Systems Major
****-**** ******** ** ********** 8.0/10 Jaypee University, India Computer Science Major
2007-2008 High School 84.8/100 Rewa, India
Specialized in mathematics, physics & chemistry
2005-2006 Higher Secondary School 85.6/100 Rewa, India Specialized in mathematics & science
Experience Summary
2 years of deep learning and 7 years of rich software engineering experience across di erent technology.
• Worked on di erent computer vision tasks such as pedestrian detection and tracking, semantic segmentation, saliency prediction through transfer learning, visualization of deep networks, tweaked pre-trained CNN models(VGG16, VGG19, Xception, ResNet50) and used OpenCV to solve specific problems.
• Experienced in implementing various model-free reinforcement learning algo- rithms such as Q-learning, SARSA, policy gradients in a manner that can solve the problems formulated as MDP.
• Worked on continuous delivery and continuous integration tools such as jenkins, Mesosphere/ Marathon, cron jobs using DC/OS and docker for platform agnostic applications.
• Proficient with HPC frameworks(for instance SLURM, LSF) used for e cient shared GPU cluster(s) management across team.
• Writer at Towards Data science medium community and write posts on AI/ML/DL topics. I publish my blogs intermittently at nilesh0109.medium.com Work Experience
Mar 21- now Machine Learning Engineer Langtec, Hamburg(DE) Leveraging self-supervised learning for improving semantic segmen- tation model trained on cityscapes dataset. Major focus of my work is on computer vision problems.
Apr 20-Feb 21 Research Intern Bosch Center for Artificial Intelligence, Renningen(DE) Working with "Robust and Explainable AI" group on representation learning. My Main focus is towards contrastive learning based meth- ods(BYOL, Simclr, MoCo etc) to learn robust representations which could be used for internal IOT data.
Jun 17-May 19 Software Engineer Dreamlines GmbH, Hamburg(DE) Supporting the data scientist with feature engineering and modelling the lead quality as a score submitted by customer (using Gradient boosted decision trees).
Enhancement and maintenance of existing Multilingual website for Eu- rope’s largest cruise booking portal along with A/B testing implemen- tation.
Oct 15-May 17 Frontend Developer Tacme LLC, Dubai(UAE) Developed a responsive Multilingual Website for one of the government clients of Dubai and supporting the website in webcenter based CMS integration.
Sep 14-Sep 15 Interactive Developer Sapient pvt limited Gurgaon(India) Worked on an e-commerce website of NIVEA.DE in the defect triage phase and focused on killing existing defect related to front end de- velopment so that the project can meet its tight timelines. Jan 12-Aug 14 Systems Engineer Infosys Limited, India Developed rich HTML5 based applications for US based Pharmaceuti- cal giant and successfully delivered 50+ applications. Technologies/ Tools Used: HTML5, CSS3, jQuery, AJAX, JavaScript, Veeva CLM library, SVG, XML.
Nilesh Vijayrania
Machine Learning Engineer
m nilesh0109.medium.com
m linkedin.com/in/nilesh-
vijayrania/
m github.com/nilesh0109
@ **********@*****.***
B Hamburg, Germany
About me
I am a Machine development engineer
with strong focus on AI-powered
applications. My work is driven by my
keen interest in various artificial
neural network applications and allied
machine learning algorithms.
Technology wise, i majorly use python
and various of its scientific computing
packages(numpy, pandas, scipy,
matplotlib, seaborn) for EDA and
data modelling(scikit-learn, keras,
tensorflow, pytorch).
Skills
Languages: python,C, C++, JAVA, SQL,
JavaScript, PHP, HTML
Frameworks: tensorflow, pytorch, keras,
OpenCV, ROS
ML Libraries: pandas, numpy, scipy, mat-
plotlib, seaborn, sklearn
Backend Technologies: Nodejs, Php,
JSP
FrontendTechnologies:HTML5, CSS3,
JavaScript
WebDevelopmentFrameworks:Python
Django, ReactJS, AngularJS
Databases: mySql, mongodb
Others: Jenkins, Docker, AWS, Apache
mesos, queue
Past Projects
2020-now "Enhancing Label E ciency for semantic segmentation tasks using self-supervised learning" BCAI, Renningen
Using BYOL for pretraining on 20k unlabelled street view images in self-supervised manner, got 10% improvement in mIOU(0.65 to 0.74) on cityscapes val dataset. Used baselines architecture of FCN8s and deeplabv3plus with Resnet50 as backbone.
Link: https://github.com/nilesh0109/self-supervised-sem-seg 2020 Pedestrian Detection and Tracking
Using a side-view camera images over a flat floor, an object tracker is implemented in python using opencv. For pedestrian detection, Yolo- v3 and for tracking, kalman filter(SORT) is used.
Link: https://github.com/nilesh0109/PedestrianTracking 2019-20 Masters Project on "E ect of Non-verbal cues in Human Robot Inter- action" UHH, Hamburg
Through the carefully designed HRI experiment, which involved the interaction of a human participant with two NICO robots(programmed using ROS), we(masters project group) found participant’s slight incli- nation towards trusting the robot with non-verbal cues in comparison to robot with minimal non-verbal cues.
Link: https://github.com/nilesh0109/PHRI_1920
2019 Saliency Prediction System UHH, Germany
Used pretrained SalGAN on SALICON dataset to transfer learn and pre- dict the salient region of the input images. The dataset used was 1800 scene images collected through eye-tracking devices Link: https://github.com/nilesh0109/CV2_SoSe_19
2019 Chagas Parasite Diagnosis UHH, Germany
Diagnosis of chagas paracite disease using supervised learning data with GDA and SVM classifier
2018-2019 Visualization of deep networks UHH, Germany comparison of various visualization techniques for understanding complex behavior of deep networks(CNNs). The algorithms examined were deconvolution, guided-backpropagation, CAM, grad-CAM. 2018-2019 General Purpose Generative Chatbot UHH, Germany Experimented with Seq2seq architecture to generate adequate and in- telligent response for the general purpose chatbot. Implemented with Tensorlayer using LSTMs in encoder decoder architecture. Link: https://github.com/nilesh0109/seq2seqChatbot Achievements & Awards
• STAR OF THE BATCH Awarded with the title "STAR OF THE BATCH" during my summer internship under HPES at IIIT Allahabad, India from 10th June, 2011 to 15th july, 2011.
Certifications
2020 Deep Leanring Specialization Coursera
Applied Deep Learning Specialization
2019 Mathematics for Machine Learning Cousera
Linear Algebra Course by Imperial college london
2018 Python for Data Science for DataCamp Datacamp Data science Toolkit
2013 Microsoft Specialist Microsoft
Programming in HTML5 with JavaScript and CSS3
2011 Infosys Certified Android Developer Infosys
Android development
Interests: Deep Learning, Machine Learn-
ing Algorithms, Neural networks, Re-
inforcement learning, computer vision
tasks
Methodologies: Agile, Scrum
Source Code Management Tool: Git,
SVN
Languages
German
Hindi
English [The language scale is from 0 (Fundamental Aware- ness) to 6 (Expert).]
Hobbies Working out, playing sports, Tech podcasts and events, gadgets, AR/VR, Writing Tech blogs. My personal Space
(https://nilesh0109.medium.com/)
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