Work Experience.
Work Experience.
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Remote Researcher, University of Michigan
Remote Researcher, University of Michigan
#a11y #Accessibility
#a11y #Accessibility
Currently working on improving software experiences for visually impaired people.
Currently working on improving software experiences for visually impaired people.
Research Intern (Online) at Yuan Ze University, April 2020 - Present.
Research Intern (Online) at Yuan Ze University, April 2020 - Present.
#IndustrialDL #CrossDomainResearch #DefectDetection
#IndustrialDL #CrossDomainResearch #DefectDetection
Steel Surface Defect Detection: Under the guidance of Prof. Lin and Fityanul Sir, I am working on Steel Surface Defect Detection.
Steel Surface Defect Detection: Under the guidance of Prof. Lin and Fityanul Sir, I am working on Steel Surface Defect Detection.
Role: My role was to experiment on the different models of object detection for detecting multiple defects in Steel Surface.
Role: My role was to experiment on the different models of object detection for detecting multiple defects in Steel Surface.
Dataset Used: Severstal Dataset (Over 12k images of different steel defects)
Dataset Used: Severstal Dataset (Over 12k images of different steel defects)
Framework Used: MMDetection (Unified, Modular framework for object detection and segmentation)
Framework Used: MMDetection (Unified, Modular framework for object detection and segmentation)
Technology Intern, 50 Hands Organization, May 2020 - Present
Technology Intern, 50 Hands Organization, May 2020 - Present
#AIForGood #NLP #Volunteering
#AIForGood #NLP #Volunteering
Role: I worked as a track lead for the Chatbot Development Team. I led a team for developing a NILA Chatbot for the 50 Hands Organization.
Role: I worked as a track lead for the Chatbot Development Team. I led a team for developing a NILA Chatbot for the 50 Hands Organization.
Chatbot Capabilities: Supports 5+ Languages, Omnichannel, Interactive, Flask API Integration, COVID Self Check Up, Region based News, etc.
Chatbot Capabilities: Supports 5+ Languages, Omnichannel, Interactive, Flask API Integration, COVID Self Check Up, Region based News, etc.
Experience: I got to work with a Chatbot platforms. Learnt a lot of third party applications. Learnt and developed Flask API for Integration in Chatbot. Closely worked with other teams at 50 Hands to deliver a product that followed Agile Method. My responsibility included, all time availability and support for 50 Hands.
Experience: I got to work with a Chatbot platforms. Learnt a lot of third party applications. Learnt and developed Flask API for Integration in Chatbot. Closely worked with other teams at 50 Hands to deliver a product that followed Agile Method. My responsibility included, all time availability and support for 50 Hands.
Countries: Chatbot is deployed in website and other platforms such as Slack, Messenger, etc. With a target audience from USA, Canada, India, Nepal, NILA Chatbot served people of these countries.
Countries: Chatbot is deployed in website and other platforms such as Slack, Messenger, etc. With a target audience from USA, Canada, India, Nepal, NILA Chatbot served people of these countries.
Machine Learning Engineer, DeepVisionTech.ai March 2020 - May 2020
Machine Learning Engineer, DeepVisionTech.ai March 2020 - May 2020
#AIForGood #InclusiveWorkspace #ComputerVision #DeepLearning
#AIForGood #InclusiveWorkspace #ComputerVision #DeepLearning
Role: Machine Learning Engineer
Role: Machine Learning Engineer
I worked for a product called Let'sTalkSign, offered by DeepVisionTech.ai, a stealth mode startup, now a part of Nvidia Inception Program.
I worked for a product called Let'sTalkSign, offered by DeepVisionTech.ai, a stealth mode startup, now a part of Nvidia Inception Program.
Takeaway Learnings: Generative Adversarial Networks
Takeaway Learnings: Generative Adversarial Networks
I learnt a lot about Generative Adversarial Networks, different architectures that are involved.
I learnt a lot about Generative Adversarial Networks, different architectures that are involved.
My contribution was used as an integral part of the Data Augmentation pipeline for the project.
My contribution was used as an integral part of the Data Augmentation pipeline for the project.
Besides, I also conducted a User Research as a part of a collaboration with Noida Deaf Society. For detailed UX Report, head on here.
Besides, I also conducted a User Research as a part of a collaboration with Noida Deaf Society. For detailed UX Report, head on here.
Let'sTalkSign
Undergraduate Teaching Assistant for ECM2002: Machine Learning Algorithms, February 2002 - Present
Undergraduate Teaching Assistant for ECM2002: Machine Learning Algorithms, February 2002 - Present
#MachineLearning #TeachingAssistant
#MachineLearning #TeachingAssistant
Role : Undergraduate Teaching Assistant, Vellore Institute of Technology, Chennai
Role : Undergraduate Teaching Assistant, Vellore Institute of Technology, Chennai
Under supervision of Dr. Om Prakash Sahu Sir, I assisted him for the coursework ECM2002: Machine Learning Algorithms
Under supervision of Dr. Om Prakash Sahu Sir, I assisted him for the coursework ECM2002: Machine Learning Algorithms
I guided enthusiastic sophomores for their project work and micromanaged the projects and helped them perform better in the course.
I guided enthusiastic sophomores for their project work and micromanaged the projects and helped them perform better in the course.
I am also working for a Government funded project with Om Prakash Sir. Will share more about it when I am allowed to.
I am also working for a Government funded project with Om Prakash Sir. Will share more about it when I am allowed to.
Data Analyst Intern, Nokia Solutions and Netoworks, May 2019 - July 2019
Data Analyst Intern, Nokia Solutions and Netoworks, May 2019 - July 2019
#PredictiveAnalytics #DataAnalysis #DataWrangling #DataViz
#PredictiveAnalytics #DataAnalysis #DataWrangling #DataViz
Role : Data Analyst
Role : Data Analyst
I worked on Spare Parts Stock Cycle. My role was to predict the Spare Parts Consumption of the Galaxy Network Equipment. The goal was to optmize the ordering cycle.
I worked on Spare Parts Stock Cycle. My role was to predict the Spare Parts Consumption of the Galaxy Network Equipment. The goal was to optmize the ordering cycle.
We worked in a team to develop optimized Machine Learning Algorithm to solve the problem at hand. This was a first hand experience of delivering end to end Machine Learning Application to be used by the company for their spare parts ordering cycle. We also summarized our key findings using effective visualization to keep all the stakeholders informed about the supply chain flow for Nokia Solutions and Networks.
We worked in a team to develop optimized Machine Learning Algorithm to solve the problem at hand. This was a first hand experience of delivering end to end Machine Learning Application to be used by the company for their spare parts ordering cycle. We also summarized our key findings using effective visualization to keep all the stakeholders informed about the supply chain flow for Nokia Solutions and Networks.
VIThink - A Student run AI Research Forum, August 2018 - Present
VIThink - A Student run AI Research Forum, August 2018 - Present
#Research #AIForGood
#Research #AIForGood
VIT is a very good place to explore our interests. And when I was exposed to multiple domains and the inspirational breakthroughs, it impacted me, big time. With a bunch of passionate seniors and my batchmates, we started VIThink, a research forum that is actively working on the research projects that matter to mankind!
VIT is a very good place to explore our interests. And when I was exposed to multiple domains and the inspirational breakthroughs, it impacted me, big time. With a bunch of passionate seniors and my batchmates, we started VIThink, a research forum that is actively working on the research projects that matter to mankind!
Role: Core Commitee Member
Role: Core Commitee Member
If you are excited B.Tech student, wanting to channeled skill development, VIThink is your place. At VIThink, we regularly conduct workshops, hackathons.
If you are excited B.Tech student, wanting to channeled skill development, VIThink is your place. At VIThink, we regularly conduct workshops, hackathons.
Research Projects are also taken up by students, duly approved by faculty advisor, Dr. Susan Elias Ma'am. Focus is not only on fancy AI hype, we rather prefer working on projects having large scale societal impact.
Research Projects are also taken up by students, duly approved by faculty advisor, Dr. Susan Elias Ma'am. Focus is not only on fancy AI hype, we rather prefer working on projects having large scale societal impact.
In 2019, we conducted AI Conclave, a place where students showcased their projects to industry experts, followed by a panel discussion on AI adaptation in India, its challenges, etc.
In 2019, we conducted AI Conclave, a place where students showcased their projects to industry experts, followed by a panel discussion on AI adaptation in India, its challenges, etc.
Member & Bootcamp Coordinator, IEEE Computer Society Student Chapter, October 2018 - Present
Member & Bootcamp Coordinator, IEEE Computer Society Student Chapter, October 2018 - Present
#IEEE #CompSoc
#IEEE #CompSoc
Role: I am an integral part of IEEE Computer Society. As a Bootcamp Coordinator, my role is to conduct workshops on topics revolving aroung Machine Learning.
Role: I am an integral part of IEEE Computer Society. As a Bootcamp Coordinator, my role is to conduct workshops on topics revolving aroung Machine Learning.
Project: As a member, I also worked on a project, funded by Euro Exim Bank. I worked with Muse Headset and Emotiv Epoc Plus. We implemented a system where we could play games by our mind waves! It was a very exciting project and helped me personally in getting a better understanding of our brain. Neural Networks and our Brain, favourite analogy, ever discovered.
Project: As a member, I also worked on a project, funded by Euro Exim Bank. I worked with Muse Headset and Emotiv Epoc Plus. We implemented a system where we could play games by our mind waves! It was a very exciting project and helped me personally in getting a better understanding of our brain. Neural Networks and our Brain, favourite analogy, ever discovered.
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