aakash deep
Software Developer at Amazon Web Services (AWS)
software developer @ aws ai / ml ( computer vision )
Amazon Web Services (AWS)
https://www.linkedin.com/company/amazon-web-services
Greater Seattle Area
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Software Developer
Amazon
https://www.linkedin.com/company/amazon
Greater Seattle Area
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Software Development Engineer
Eatfresh.com
https://www.linkedin.com/company/eatfresh-com
Bangalore
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Lead Software Developer
Amazon
https://www.linkedin.com/company/amazon
Bengaluru Area, India
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Software Development Engineer
Samsung Electronics
https://www.linkedin.com/company/samsung-electronics
Bengaluru Area, India
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Senior Software Engineer
Samsung Electronics
https://www.linkedin.com/company/samsung-electronics
Bengaluru Area, India
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Software Engineer
Indian Institute of Science
https://www.linkedin.com/company/indian-institute-of-science
I worked in CVAI (computer vision and artificial intelligence) lab in Electrical Department. 

The projects were:
1. "Activity analysis and detection in Surveillance Video Archives" using MoSIFT
2. Developing an algorithm for "Image inpainting detection".
Bangalore
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UGC Summer Research Intern
Precison Electronics
https://www.linkedin.com/company/precision-electronics-ltd
Noida
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Summer Trainee
B.E.
Electronics and Communications
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Birla Institute of Technology, Mesra
https://www.linkedin.com/school/b.i.t.-mesra-ranchi/
Class 12th
Science
DAV Public School, Bistupur, Jamshedpur
Class 10th
Science
DAV Public School, Siwan
The Image analysis part of Digital Forensics plays an important role in investigating tampering of images. Exemplar based inpainting and copy paste forgeries play visual tricks to deceive people and affect the authenticity of the images. We have devised a blind detection method which is based on the luminance component of the image and median comparison of the blocks in the Region of Suspicion (ROS). The median comparison of the blocks facilitates the “Jump patch” functionality of the proposed method and hence makes this method robust and faster than the already existing methods. Detecting two forgeries by a single method makes it unique. A number of tampered natural images are used to show the efficacy of the algorithm.
A jump patch-block match algorithm for multiple forgery detection
IEEE Explore
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6526502&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6520973%2F6526372%2F06526502.pdf%3Farnumber%3D6526502
This paper deals with two methods and their comparison to find the effective relative permittivity of the substrate. The two methods used are resonant method and reflection method in the planar configuration. In resonant method, a microstrip patch antenna is designed using the approximate value of the relative dielectric permittivity. The resonant frequency of the designed antenna is measured and then effective relative permittivity is calculated. In the second method, the two transmission line method is used to find the relative dielectric permittivity. The comparison of the two methods shows that resonant method is more efficient at a particular frequency whereas transmission line method is suitable to find the effective dielectric constant over a range of frequencies.
Measurement of Effective Dielectric Constant: A Comparison
IEEE Explore
http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=6256866
https://in.linkedin.com/in/vishnukvmd
Kerala, India
Vishnu Mohandas
Founder, ente.io
https://in.linkedin.com/in/hameeda-ahmed
Mumbai
Hameeda Ahmed
JioMart | E-commerce | Fintech | IIM-Calcutta
https://www.linkedin.com/in/madhav-kapoor-78692340
Seattle, WA
Madhav Kapoor
Software Development Engineer II at Amazon
https://www.linkedin.com/in/pragadheeshchander
Seattle, WA
Pragadheesh Chander
Software Development Engineer II at Amazon Web Services (AWS)
https://in.linkedin.com/in/rajeshjainbitmesra
Noida
Rajesh Jain
Senior Engineer at eightfold.ai
https://www.linkedin.com/in/abhishek-kumar-b0790314
Bellevue, WA
Abhishek Kumar
Software Development  Engineer 2 at Microsoft, Redmond, USA
https://in.linkedin.com/in/satish-bezawada-bbba0413
India
Satish Bezawada
Siebel CRM at Marselviz technologies
https://nl.linkedin.com/in/kumar-salil-0405
Amstelveen
Kumar Salil
Data Analyst at CRH
https://www.linkedin.com/in/ditesh-kumar
Seattle, WA
Ditesh Kumar
SDE 2 at Amazon Web Services
https://in.linkedin.com/in/jyoti-prakash-6b274919b
Orissa, India
Jyoti Prakash
Student at C.V.Raman College of Engineering
https://in.linkedin.com/in/bibhu-prasad-sahoo-466069223
Cuttack
Bibhu Prasad Sahoo
System Engineer at Infosys
https://www.linkedin.com/in/yuanhe772
Greater Seattle Area
Yuan He
Software Development Engineer at Amazon Web Services (AWS)
https://www.linkedin.com/in/paulson-anthony-44b06043
Baltimore City County, MD
Paulson Anthony
IT Consultant - ORACLE at Lockheed Martin
https://in.linkedin.com/in/suvam-das-9b974a218
Bhubaneswar
Suvam Das
Attended Biju Patnaik University of Technology, Odisha
https://in.linkedin.com/in/satish-bezawada-78b7611ba
Vijayawada
Satish Bezawada
Sr JIRA Admin
https://in.linkedin.com/in/sruthi-kasyap-800757170
Bengaluru
Sruthi Kasyap
Student at Ramaiah institute of legal studies
https://in.linkedin.com/in/bharathi-t-484275213
Bengaluru
Bharathi T
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https://www.linkedin.com/in/leyongtan
Greater Seattle Area
Leyong Tan
Engineering Manager at AWS Rekognition - I'm hiring in Seattle/Bellevue
https://www.linkedin.com/in/vivek-bhadauria-62189a5
Greater Seattle Area
Vivek Bhadauria
VP/Distinguished Engineer - OptumLabs at UnitedHealth Group
https://www.linkedin.com/in/bill-zhang-82107312
Kirkland, WA
Bill Zhang
Software Development Engineer at Amazon Rekognition
Sham Satyaprasad
      
          



            
              
        
              
  

    
        It's not quite often you find someone who thinks over a bug after a fat lunch in the afternoon which has not even surfaced in the production, but Aakashdeep has a very strong dedication to keep up ‘very high’ standards when it comes to software quality. He made sure that his team ( including me ) are following the best practices in the industry which helped us all in expanding our tech skills.

He participated in business meetings to give a tech perspective to a business problem and offer an alternative approach if he finds it more suitable. He was proactive and wouldn’t hesitate to voice his opinion and would encourage us all to do the same. He also initiated one-to-one talks with everyone in the team where we would discuss any issues ranging from personal to professional issues and everything in between on a weekly basis. This action of his actually helped the team to stay bonded ( even when team members working for different companies! ).

I clearly remember numerous instances where he would walk up to us and asked if he could help us in anyway which included ( but not limited to ) chalking out the logic, code reviewing, looking for best solutions for my task, deciding on which technology to be used and also resolving git conflicts when we had messed up our git branch beyond our understanding! 

I personally think ( of course my team would agree on it too ) that he is really a good mentor and it was great experience to work along with him and in future if I get a chance to be a part of his team I would definitely take it!
Liked by Aakash Deep
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My 5 minutes overview of AWS Panorama has been published on YouTube! Check it out, it’s only 5 minutes or so. One of the coolest project I’ve worked…
Liked by Aakash Deep
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We are hiring https://lnkd.in/g9XbDsuv
Liked by Aakash Deep
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Some takeaways from my last LinkedIn post to hire engineering interns:1. Supply is greater than demand. We received 400+ applications in < 24…
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Delhi, India
Aakash Deep
Content Writer (Freelance)
https://in.linkedin.com/in/aakashnandan
Noida
Aakash Deep
ASIC Verification Engineer at VeriFast Technologies
https://in.linkedin.com/in/aakashdeep983
Bengaluru
Aakash Deep
Software Engineer at Unizen Technologies
https://in.linkedin.com/in/aakash-deep-6b2359b1
Patna
Aakash Deep
Aakash Deep
Hackday Bangalore
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BITOSA Silicon Valley
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BITOSA Global
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Algorithmic Trading
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