Alok Dixit
Trading system engineer
7.2
Years of Experience
Education
iit kharagpur indian institute of technology kharagpur
Companies
flextrade, e4 capital, ogha research llp, kuants, airbus, rajendra mishra school of engineering entrepreneurship, alive homes, department of electrical engineering iit kharagpur, department of computer science iit kharagpur
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Alok's contact details
Email (Verified)
aloXXXXXXXXXXXXXXXXXXXXXom
Mobile Number
+91XXXXXXXX91
Experience
2024 - Present
flextrade
Trading system engineer
2022 - 2024
e4 capital
Software Engineer
Working on Low latency crypto trading system.
2018 - 2022
ogha research llp
Trading System Engineer
2018 - 2018
kuants
Associate Software Engineer
2017 - 2017
airbus
Associate Engineer
2016 - 2017
rajendra mishra school of engineering entrepreneurship
Neural Network based system for Botnet detection
1. Implemented a Tensorflow based five layer neural network to detect the malicious data packets 2. Introduced a dropout layer to eliminate the overfitting of data in network with ​ keep_prob=0.5 and got an accuracy of over 95%. 3. Alternate method used was to cluster data packets using Gaussian mixture model and then generate the cluseter features. 4. These features were given to a desion tree to classify with an accuracy of 93%.
2015 - 2016
alive homes
Co Founder, CTO
1. Alive Home is a cost effective home automation company which manufactures smart Switch module. 2. Responsible for Designing the home automation system which could operate with or without WiFi at home 3. Responsible for embedded system programming to connect switch boards to WiFi or making it as access point 4. Implemented the smart config feature so as to configure SSID, Password or any other information. 5. Implemented the server side database on MongoDB and pipelined it with autobahn websocket server by pymongo 6. Made an universal remote control by exploiting the replay attack vulnerability on IR controlled devices such as AC 7. Implemented mDNS service on smart switch board (acting as server) for service discovery under DHCP
2015 - 2016
department of electrical engineering iit kharagpur
Brain Wave (and Activity) prediction system smartphone sensors
1. Implemented a Smartphone sensors based Random Forest regressor for predicting EEG waves along with classification of current activity being performed. 2. Pipelined the above model to a cloud using websockets (autobahn) for real time prediction. 3. Developed an android app for collecting Sensor data, EEG headset data cached locally and sending it to websocket server. 4. Implemented Random Forest algorithm in android app using WEKA java framework
2015 - 2015
department of computer science iit kharagpur
Developed an Internet of Things framework
1. IOT framework included programming Sensor nodes, a routing node and server 2. Developed intersensor communication using zigbee, Bluetooth and Wifi to make a universal interface 3. Introduced web-sockets protocol for ESP8266 on top of TCP layer in C for full-duplex real-time data transfer 4. Developed an Android application which would fetch data from cloud and show in graphical format in real time
Experience
42 Skills
Adversarial Networks
Algorithms
Android
Android Development
Arduino
Automation
Bloomberg Terminal
C
C (Programming Language)
C++
C++
CPP
CSS
Eclipse
Electrical Engineering
Electronics
Embedded Systems
Entrepreneurship
Entrepreneurship
FIX Protocol
Founder
High-Frequency Trading
HTML5
Java
Java
JavaScript
Linux
LTSpice
Machine Learning (ML)
Matlab
Microsoft Excel
Microsoft Office
Performance Tuning
PHP
Programming
Python
Research
Research Scientist
Senior Software Engineer
Software Engineer
Start-ups
Trading
Education
2012 - 2017
iit kharagpur indian institute of technology kharagpur
Bachelor of Technology (B.Tech) and M.tech in Engineering entrepreneurship
Instrumentation engineering , Engineering entrepreneurship
