Aakash Tyagi
- Courses4
- Reviews33
- School: Texas A&M University
- Campus: College Station
- Department: Computer Science
- Email address: Join to see
- Phone: Join to see
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Location:
College Station, TX - Dates at Texas A&M University: December 2014 - December 2019
- Office Hours: Join to see
N/A
Would take again: Yes
For Credit: Yes
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Mandatory
Awesome
Tyagi is the best professor I've had. He is extremely caring about his students and will do his best to make sure they understand the material. His class is really hard but if you work hard at it you will succeed.
N/A
Would take again: Yes
For Credit: Yes
0
0
Mandatory
Awesome
Dr. Tyagi has got to be the best professor. He teaches really well! The class is very hard but he is supper organized and will give you a well run class.
N/A
Would take again: Yes
For Credit: Yes
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Not Mandatory
Awesome
He is great! He has experience structure working at Intel, and interfaces class materials to how they identify with in genuine industry. Amazingly thinking about understudy's comprehension of the material, really an extraordinary person! The class itself is likewise captivating - you get the opportunity to see precisely where programming meets equipment at the most minimal level!
N/A
Would take again: Yes
For Credit: Yes
4
0
Mandatory
Awesome
Professor Tyagi is really amazing. A nice man and helpful during his office hours. A great speaker too. Assignments are tough but you'll learn a lot of it at the end. Knowledgeable about the industry and led division at intel so he's not only understand the material of the academic side but a business side.
Biography
Texas A&M University College Station - Computer Science
Experience
MoveInSync
Software Developer
1.Developed a library for sending SMS with multiple sms service providers using design patterns.
2.Developed a generic template based cab routes generation facility.
3.Developed the interface for showing server downtime message to users using polling techniques.
4.Responsible for various deployments and administrative tasks in the company.Directi
Software Developer ( Distributed Communication Server Team)
1.Developed centralized lookup server providing for providing load balancing, high-availability, fault-tolerance and stickiness to the messaging cloud architecture.
2.Developed server using Node.js and ZMQ Sockets handling over 400 requests/sec.
3.Developed single and multi-threaded libraries for server integration providing register and un-registration of services, caching and heartbeats exchange.
4.Developed acknowledgment and buffering capabilities in libraries for reliable message exchange.
Technologies Used: Node.js, Java, ZMQ SocketsDirecti
Software Developer (Ad-Server Team)
1. Developed and designed a system which predicted and controlled over 10 million data logging requests generated from Ads on yahoo pages.
2. Reduced the percentage of logging request by 98% during peak traffic hours and 85% overall during day with intelligent request generation.
3. Developed data logging system which predicted and counted request generated from ads on individual webpages with 99% accuracy using load prediction technique.
Technologies Used: Redis, JavaScript, PhpFacebook
Software Engineer
Aakash worked at Facebook as a Software Engineer
Facebook
Software Engineering Intern
1. Improving Logistic Regression algorithm, used for CVR/CTR prediction, using time based data weight manipulation.
2. Writing new pipelines, configurations and training GBDT and SIGRID models for impression to click prediction model.
3. Working on Real Time training for Logistic Regression based model
Education
Motilal Nehru National Institute Of Technology
B.Tech
Computer Science and Engineering
Texas A&M University
Master of Computer Science (M.C.S)
Computer Science
Publications
Automatic Image Arranging System Based on the Semantic Analysis of the Surrounding Text Retrieved from the World Wide Web
International Journal of Scientific and Engineering Research (IJSER)
Worked on determining the relevancy of the image retrieved from web using the background text associated with the images. Performing semantic analysis on the text and reordering images with more relevant images coming first in the listing with domain restricted to football.
Automatic Image Arranging System Based on the Semantic Analysis of the Surrounding Text Retrieved from the World Wide Web
International Journal of Scientific and Engineering Research (IJSER)
Worked on determining the relevancy of the image retrieved from web using the background text associated with the images. Performing semantic analysis on the text and reordering images with more relevant images coming first in the listing with domain restricted to football.
Traffic Based Dynamic Request Control System For Web Page Analysis
International Journal of Computer Applications
Proposed and implemented a system to control the sudden increase in the traffic on the ads associated with web pages during peak traffic hours using data analysis.
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Professor Of The Practice
Texas A&M University - Texas A&m University
CSCE 312
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