Alok Dixit

Co-Founder

Pune, Maharashtra, India10 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in high-frequency trading systems development.
  • Founder of a successful home automation startup.
  • Researcher in machine learning and cybersecurity projects.
Stackforce AI infers this person is a Fintech and IoT specialist with a strong background in machine learning and embedded systems.

Contact

Skills

Core Skills

High-frequency TradingTrading SystemsSoftware DevelopmentMachine LearningEmbedded SystemsHome AutomationIot Development

Other Skills

Android DevelopmentArduinoBloomberg TerminalCCPPCSSEclipseFIX ProtocolHTML5JavaJavaScriptLTSpiceMatlabMicrosoft ExcelMicrosoft Office

About

Welcome to my LinkedIn profile! I'm Alok Dixit, a passionate and results-driven professional with a strong background in technology and a track record of contributing to diverse projects and industries. With a solid foundation in engineering and entrepreneurship, I thrive on taking on complex challenges and delivering innovative solutions. ๐ŸŽ“ Education: I hold a B.Tech. in Instrumentation Engineering and an M.Tech. in Engineering Entrepreneurship, both from the prestigious Indian Institute of Technology (IIT) Kharagpur. My academic journey instilled in me a deep understanding of technology and a drive to apply my knowledge in real-world scenarios. ๐Ÿ’ผ Professional Journey: My career has been an exciting ride through various domains, from algorithmic trading to software development. I have experience working at notable organizations like Airbus Group, E4 Capital, OGHA Research.. My roles have involved developing high-frequency trading systems, optimizing algorithms for performance, and avionics software systems. ๐Ÿš€ Entrepreneurial Spirit: I'm not just a technologist; I'm also a founder. As the CTO and founder of Alive Home Technologies Pvt. Ltd., I embarked on an entrepreneurial journey, establishing a home automation company and delivering cost-effective smart switch solutions to the market. ๐Ÿง  Areas of Expertise: I'm a passionate C++ and Python enthusiast with a strong command of these versatile languages. While I consider myself proficient in these areas, I also have a working understanding of other technologies, including Java, machine learning, embedded systems, Android app development, and IoT. I'm committed to ongoing learning and growth, eager to expand my skills and embrace new challenges in the ever-evolving tech landscape. ๐Ÿ” Research Enthusiast: I'm not just a practitioner; I'm also a researcher. I've worked on projects involving Generative Adversarial Networks (GANs), malware network detection, and brainwave prediction using machine learning. My inquisitive nature drives me to explore and experiment with cutting-edge technologies. ๐ŸŒ Connect with Me: I'm always eager to connect with like-minded professionals, entrepreneurs, researchers, and anyone passionate about technology and innovation. Feel free to reach out and let's explore opportunities or collaborate on exciting projects. Thank you for visiting my profile, and I look forward to connecting with you and learning from your experiences!

Experience

Flextrade

Trading system engineer

Jan 2024 โ€“ Present ยท 2 yrs 2 mos ยท Pune, Maharashtra, India ยท On-site

CPPFIX ProtocolBloomberg TerminalHigh-Frequency TradingTrading Systems

E4 capital

Software Engineer

Nov 2022 โ€“ Jan 2024 ยท 1 yr 2 mos ยท Remote

  • Working on Low latency crypto trading system.
Software Development

Ogha research llp

Trading System Engineer

Dec 2018 โ€“ Oct 2022 ยท 3 yrs 10 mos ยท Bengaluru Area, India

Trading Systems

Kuants

Associate Software Engineer

Jan 2018 โ€“ Dec 2018 ยท 11 mos ยท Gurgaon, India

Airbus

Associate Engineer

Jul 2017 โ€“ Dec 2017 ยท 5 mos ยท Bengaluru Area, India

Rajendra mishra school of engineering entrepreneurship

Neural Network based system for Botnet detection

Jul 2016 โ€“ Mar 2017 ยท 8 mos ยท IIT Kharagpur

  • 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 โ€‹ 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%.

Alive homes

Co Founder, CTO

Jul 2015 โ€“ Jul 2016 ยท 1 yr ยท Kharagpur Area, India

  • 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
Embedded SystemsHome Automation

Department of electrical engineering, iit kharagpur

Brain Wave (and Activity) prediction system smartphone sensors

Jul 2015 โ€“ Apr 2016 ยท 9 mos ยท IIT Kharagpur

  • 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
Machine Learning

Department of computer science, iit kharagpur

Developed an Internet of Things framework

May 2015 โ€“ Jun 2015 ยท 1 mo ยท IIT Kharagpur

  • 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
IoT Development

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology (B.Tech) and M.tech in Engineering entrepreneurship

Jan 2012 โ€“ Jan 2017

Ebenezer H. S. School

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