avinash ankur
Python Developer at Presto
software developer
software engineer interested building product ease life . 3 year experience object-oriented design development enterprise solution using python java . • good experience design development distributed scalable application using web service , microservices . • extensively worked restful web service • worked database ( postgresql , snowflake ) • good knowledge data structure , algorithm . • worked agile tdd environment . • good knowledge cloud platform ( amazon aws , google gcp ) responsible design , development , production support . soft skill : organized , positive attitude , self-confidence , teamwork , adaptability . working skill : • django , python • core java • database : mysql , dynamodb , postgresql • scripting language : shell script , python .
Presto
https://in.linkedin.com/company/presto-ai
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Python Developer
Health Union
https://in.linkedin.com/company/health-union
* Built the Execution Orchestration Engine (EXO) an eco-system, internally
designed and built to perform distributed AWS batch processing.
* Maintained the open-source sampling engine project - SnowShu.
Philadelphia, Pennsylvania, United States
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Software Engineer
Arizona State University
https://in.linkedin.com/company/arizona-state-university
Tempe, Arizona, United States
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Graduate Student
CYR3CON
https://in.linkedin.com/company/cyr3con
Created and analyzed multiple models (svm, random forest, decision tree) to predict the exploitation probability of a post scraped from the onion sites. Developed Python scripts to crawl and parse websites for extracting useful data from the dark web. Wrote multiple scripts to bridge the gap between db, API and ML team to help bring the tool into a production environment
Tempe
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Summer Intern
Senseforth.ai
https://in.linkedin.com/company/senseforth
Worked in a startup environment with the primary focus on development of customized chat bots for clients.
Bengaluru Area, India
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NLP Engineer
National Ilan University
https://in.linkedin.com/company/national-ilan-university
Created a non-photorealistic Rendering by combining a content image and textures extracted from popular artworks via Modified Convolutional Neural Model. Generated Super-Resolution Magnetic Resonance Images for Superior Lesion Diagnosis using Group based Sparse representation and  Deep Convolutional Neural Networks. Also, worked in drafting the final proposal for Efficient Traffic Offloading and Resource Allocation in Mobile Edge Computing-based 5G Networks. Which was submitted as a Russia-Taiwan collaboration to be completed within 3 years under the supervision of Dr. Kathiravan Srinivasan (NIU, Taiwan) and Prof. HC Wang (NIU, Taiwan).
Yilan County, Taiwan
Research Assistant
Indian Institute of Technology, Patna
https://in.linkedin.com/company/indian-institute-of-technology-patna
Worked on the project Real time Human Action Recognition in a video under Dr. Mahesh H. Kolekar (Assistant Professor, IIT Patna ). Here I conducted research to find out about motion detection, background subtraction, features extraction and used machine learning to classify different actions.
Patna , India
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Intern
Masters of Comuter Science
Computer Science
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Arizona State University
https://in.linkedin.com/school/arizona-state-university/
Bachelor's degree
Computer Science
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The LNM Institute of Information Technology
https://in.linkedin.com/school/lnmiitjpr/
High School 
PCM
Modern Vidya Niketan, Aravali Hills, Faridabad
For eons, the human kind has been motivated by art. Art is a method to express the feelings of its creator and usually is a combination of the subject matter and the design in an image. The convolutional neural network is a powerful tool able to extract the key and meaningful features from images. Here we try to use the neural network to extract the features from an art and merge it with the content of another image.
Non-photorealistic Rendering via Modified Convolutional Neural Model
IEEE International Conference on Consumer Electronics ​(ICCE-TW 2017)
This research focuses on developing a Super-resolution MR Image restoration method using Convolutional Neural Networks(CNN). The main aim is to train an end to end mapping that takes a low-resolution image as input and returns a high-resolution output. Low overhead and a state of the art reconstruction makes the model perform efficiently.
Super-Resolution of Magnetic Resonance Images using Deep Convolutional Neural Networks
IEEE International Conference on Consumer Electronics ​(ICCE-TW 2017)
In the modern times, retrieval of significant data from low-resolution (LR) magnetic resonance (MR) images has turned out to be a strenuous task. Also, in the recent years, several Super-resolution (SR) techniques have been established to address the issue of MR image resolution. This research focuses on developing a Super-resolution MR Image restoration method using group-based sparse representation technique (GSR). The major objective is to devise a GSR technique which is robust to noise, while most other SR methods cannot perform de-noising and super-resolution simultaneously. Moreover, the restoration dependent approach presumes that the LR images are warped, blurred and decimated from the respective high-resolution (HR) image. The algorithm exploits the similarity between non-locally positioned similar patches to effectively improve the quality of MR images. A single self-adaptive dictionary with low-complexity is used in the model in place of the general dictionary used in traditional approaches. This self-adaptive dictionary is trained for a group of patches rather than for each patch. Training the model for a group instead of patches allows the model to have a better edge and texture retention in the reconstructed image. This approach also establishes the fact that an enhanced detection of lesions is highly possible for superior disease diagnosis. The GSR approach proves to be efficient as it offers better PSNR values for all the MR images than its counterparts.
Group Sparse based Super-resolution of Magnetic Resonance Images for Superior Lesion Diagnosis
International Conference on Medical and Health Informatics​ (ICMHI 2017)
Created a python implemented to nd the best rotation and translation to merge multiple maps using
Hough Transform. Developed this by understanding an obsolete C implementation of a published paper.
Map Merging in Hough Domain
Developed a reinforcement learning model for quadcopter to mimic the movement of a pendulum using
an attached payload, initially in simulation and then transferred it to a real world setting.
Flying Pendulum
Used popular planning and decision-making algorithms (DBN, MDP) for controlling the Robo soccer
units to perform cohesive movements to score and defend.
Robo Scoccer
We aim to develop and implement an algorithm to reduce the energy consumption in a computer network by improving the Routing Protocol. Power consumption is reduced by identifying and switching off the redundant links and the corresponding line cards of the Routers.
Reducing power consumption in computer network through efficient routing algorithms
Implemented Siamese Architecture with Contrastive loss function using Tensor Flow (python) and trained it on pairs of face images from AT&T face datasets for the application in Face Verification.
Face verification using Similarity Metric
Modeled different Data cubes for performance management of RBI, like Forex reserves, CPI, Credit Control etc. Different applications like Central, hierarchical to control the flow of information were created. This project was a part of Essentials of Performance Management and Data Modeling course by IBM.

Platforms Used:
IBM Cognos TM1
Practical implementation of the data warehouse and its management
A NetBeans based project which allowed us to enter the family details of a person and stored the details to display in form of a tree. It connected multiple generations across multiple family trees to find out distant relatives.
Genealogy Database
https://www.linkedin.com/in/jay-nankani
Redmond, WA
Jay Nankani
Software Developer @ Redfin | ASU MCS Alumni
https://www.linkedin.com/in/sadneya-pusalkar-742549166
Tempe, AZ
Sadneya Pusalkar
MCS ASU
https://www.linkedin.com/in/tusharmhalsekar
Tempe, AZ
Tushar Mhalsekar
Masters in Computer Science | Software Engineer | Seeking full-time opportunities in Software Engineering
https://www.linkedin.com/in/saumya-gangwar
Tempe, AZ
Saumya Gangwar
Incoming Software Engineering Intern @ Google
https://www.linkedin.com/in/csaravindt
Greater Seattle Area
Aravind Thillai Villalan
Software Development Engineer | MS in Software Engineering at ASU |  Full Stack Developer
https://www.linkedin.com/in/kevin-cranmer-a1a7a2168
Greater Minneapolis-St. Paul Area
Kevin Cranmer
ASU MCS - Software Engineer
https://www.linkedin.com/in/sandhya-chandrasekaran-05925512b
Tempe, AZ
Sandhya Chandrasekaran
Software Development Engineer at Amazon | ASU Alumni
https://www.linkedin.com/in/venkata-raghu-r-valiveti-6248a8b3
Seattle, WA
VENKATA RAGHU R VALIVETI
Software Engineer II at Qualtrics | MCS @ ASU
https://www.linkedin.com/in/nidhimangalvedhekar
San Diego, CA
Nidhi Mangalvedhekar
Software Engineer at Qualcomm | ASU Alumna | MS in Computer Engineering.
https://www.linkedin.com/in/modismit
Tempe, AZ
Smit Modi
MCS@ASU | Ex-Software Engineer@Goldman Sachs | AWS | Java
https://www.linkedin.com/in/sai-sankar-vadde-064b5810b
Tempe, AZ
Sai Sankar Vadde
Incoming SDE at Amazon in the Summer’22 | GSA at Arizona State University | MCS at ASU | Ex- Wipro | NIT Calicut
https://www.linkedin.com/in/shubhammehta99
Tempe, AZ
Shubham Mehta
Software Engineer at Amazon | MCS | BS | ASU
https://www.linkedin.com/in/bhaskara-teja-atluri
Tempe, AZ
Bhaskara Teja Atluri
Graduate MS CS Student @ ASU
https://www.linkedin.com/in/rawat-sumit
Seattle, WA
Sumit Rawat
Software Development Engineer @ AWS | ASU | Ex-Accenture
https://www.linkedin.com/in/saumyapriya
San Francisco Bay Area
Saumya Priya
Software Engineer at Google
https://www.linkedin.com/in/prasanthi-damarla-156111168
Tempe, AZ
Prasanthi Damarla
MCS at Arizona State University
https://www.linkedin.com/in/srihari-j
Tempe, AZ
Srihari J
Arizona State University '2021 | Facebook | Harvard Medical School
https://www.linkedin.com/in/hanumanreddy
Tempe, AZ
Hanuman Reddy
Actively seeking Intern/Co-op positions for Summer 2022 || MS CS student as ASU || EX-WIPRO Project Engineer
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We're thrilled to share that we have raised $14 million from Fractal. This is a significant milestone in our journey to accelerate growth, scale…
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Not all #innovation needs big budgets, boardrooms or brainstorming sessions
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#LinkUpdated #MBAFreshersCisco is hiring!Position: Product Manager (New Grads)Apply Here - Comment interested and like the post…
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Meerut
Avinash Ankur
Personal Banker at HDFC Life
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India
Avinash Ankur
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https://www.linkedin.com/in/avinash-ankur-42b2001b4
Greater Phoenix Area
Avinash Ankur
Full Stack Python Developer (Looking for New Opportunities)
https://in.linkedin.com/in/avinash-ankur-41025990
Rohtak
Avinash Ankur
Senior Quality Engineer at SUDHIR AUTOMOTIVE INDUSTRIES PRIVATE LIMITED
Jobs/Hiring Engineers, Mechanical, Automotive, Embedded hardware/Software, Design, Catia,Unigraphics
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SRIG Research Interest Group
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We Are Hiring Entry level Software Engineer (Java,Dotnet & Python)]
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