About
Software Engineer at Eagle Eye Networks, India
I'm currently working as a Software Engineer at Eagle Eye Networks. I've pursued B.Tech in Information and Communication Technology from School of Engineering and Applied Science, Ahmedabad University. Primary experience and interest lies in backend development and building scalable systems.
- Birthday: July 10 2001
- Phone: +91 89052-78910
- City: Ahmedabad, India
- Age: 21
- Degree: Bachelor of Technology
- Email: shreyansh_shah@yahoo.com
Resume
Summary
Shreyansh Shah
- Ahmedabad, India
- (+91)89052-78910
- shreyansh_shah@yahoo.com
Work Experience
Software Engineer
January 2022 - Present
Eagle Eye Networks, Banglore
- I was responsible for creating a query backend module that will form efficient and optimized elastic queries to fetch metadata from elasticsearch. Other than this, implemented a few optimizations in elasticsearch, that either improved space complexity or API latency.
- Worked on creating a moniitoring system for the backend services using prometheus and grafana.
- Worked on creating a service that allows ingestion and retrieval of metadata that establishes relation and hierarchy between cameras, which is being used as an external service by main project.
Tech Stack:- Golang, ElasticSearch, Kibana, Postgresql, Redis, Prometheus, Grafana.
Backend Developer Intern
May 2021 - September 2021
Inficube Technolabs, Ahmedabad
- Designed NoSQL database, developed backend code and built REST APIs using NodeJs, NestJS and MongoDB.
- Built APIs for Admin and Customer module functionalities.
- Completed payment integration for coin-payments using webhooks.
Undergraduate Research Programme, Ahmedabad University
February 2020 - January 2021
Ahmedabad University, Ahmedabad
- Selected and currently working on 'Estimation of primary channel activity statistics for CR enabled vehicles’ under Prof Dhaval Patel, funded by DST-UKIERI and University of Washington - Seattle - USA.
- Reproduced several papers fromtop-quality journals and conferences like IEEE Transactions on communications, IEEE ICC, IEEE VTC.
- Performed simulations for modelling SU velocity and estimating primary channel activity statistics in matlab.
- Collaborated with professor from University of Liverpool, UK.
Education
Bachelor of Technology in Information and Communication Technology
July 2018 - May 2022
School of Engineering and Applied Science, Ahmedabad University
B.Tech - Information and Communication Technology
CGPA: 3.09/4
Gujarat Secondary and Higher Secondary Education Board
March 2018
S.S.Divine High School, Ahmedabad
Higher Secondary School Certificate
Percentile: 93.05
Gujarat Secondary and Higher Secondary Education Board
March 2016
S.P.Vidhayalaya, Surendranagar
Secondary School Certificate
Percentile: 99.80
publication
Shreyansh Shah, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez and Sagar Kavaiya, “Weighted Cooperative Spectrum Sensing for Cognitive Vehicular Networks”, Proc. of 94th IEEE Vehicular Technology Conference (VTC-Fall 2021), Helsinki, Finland, Sept. 2021, pp. 1-5. Link
Shreyansh Shah, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez and Sagar Kavaiya, “Impact of Mobility on the Estimation of Primary Channel Activity Statistics”, Proc. of 94th IEEE Vehicular Technology Conference (VTC-Fall 2021), Helsinki, Finland, Sept. 2021, pp. 1-5. Link
Projects
Gamma Torrent
Implemented Bit-Torrent client protocol and developed software using which a user can download files over a peer-to-peer file sharing environment in a distributed and decentralized manner.
TraWell-Car Rental Service
Developed and deployed an end-to-end web based solution for car rental service for both lenders and renters by following agile development methodology.
Shortest Path Algorithm Implementation
Implemented bellmanford's shortest path algorithm and dijkstra's shortest path algorithm in java
Online Shopping System
Back-End and GUI implemented in JAVA with oracle database, key functionalities: Different access for admin/seller and customer, invoice generator, details of past orders etc.
Stock Market Analysis and Prediction
Project created using Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices. I have used Keras to build a LSTM to predict stock prices using historical closing price.
MIPS 16 bit Micro-Processor
RISC-based 28 instructions MIPS processor with hazard handling. Dataflow modelled verilog code was dumped on FPGA.
Technical Skills
Contact Details
Email:
shreyansh_shah@yahoo.com
Call:
+91 89052-78910