Made with
Standard Resume
Learn more

Vishnu R Menon

Freelance Software Engineer
V
R

Contact Info

  • London
  • vishthemenon@gmail.com
  • +44 7480 330767

Education

Imperial College London

Master of Engineering (MEng), Aeronautical Engineering with Spacecraft Design
|

2016 - 2020

• 3.7/4.0 GPA • Co-founded Imperial Drone Society and grew it to 110+ paying members • Second in cohort for engineering design

Raffles Institution

GCSE A Level, High School, AAA/A
|

2007 - 2013

Work Experience

Hack Partners

Software Engineer
|

Jan 2020 - Current

Continuing the winning project at Hacktrain VI to combine track circuit and berth datasets to determine train location more accurately and precisely than ever possible before. The work provides new opportunities for better timetabling and better network performance. The project is done in collaboration with and delivered for Network Rail. Technologies used • Python Data Science - NumPy, SciPy, Pandas • Network Graph - networkx • Parallel Computing - Dask

CGI

Software Engineering Consultant
|

Jul 2019 - Feb 2020

Worked on a digital transformation contract to develop the Nuclear Emergency Radiological Information and Monitoring Network (NERIMNET), a project delivered for the Department for Business, Energy, Innovation and Skills (BEIS) and the Ministry of Defence (MoD). • Angular 6 front-end with Jasmine/Karma testing • OpenLayers mapping library • Geoserver / Postgres / PostGIS stack

Deliveroo

Software Engineer (Growth)
|

Jun 2018 - Oct 2018

• Proposed and developed multiple, high-impact exploratory growth experiments to increase weekly active customer growth (50 BPS) • Developed a real time experiment analysis ETL pipeline to cut data analysis time by 50% (AWS Kinesis/Lambda/Streaming SQL) • Developed a session-based deep learning model for restaurant recommendations

Uteepi

Product Lead, Fullstack Developer (Co-founder)
|

Jun 2017 - Feb 2019

Property technology Startup developing in the student housing market. Visit: www.uteepi.com • Kickstart London 2018 Pre-Accelerator - Top 3 Startups • Imperial Business Pitch 2018 - Winner • Leading Product Development • Programmable Funding Competition Finalist - Imperial Innovations x Imperial Enterprise Lab • LSE Generate Funding Competition Finalist • Selected for Imperial Venture Mentoring Scheme

Hackathons

Serial Hackathon Participant
|

Sep 2014 - Jan 2020

• Hacktrain VI - Nov 2019 (1st Prize) • Hack for Humanity - July 2019 (1st Prize) • AngelHack London - June 2018 (Won Best Hack - Fitbit Challenge) • J.P. Morgan Code For Good - November 2017 (1st Prize, Offered Internship at JP Morgan EMEA) • MLH Prime (Europe) - April 2017 • DfT Hack - March 2017 (Best Developer, Best Hack for Road, Best Hack for HS2) • Microsoft 3Hack - March 2017 (1st Prize) • UCL Data Science Hack - March 2017 • HackTrain HK - November 2016 • HackTrain UK 3.0 - October 2016 (4th Prize + Selected for Hacktrain HK) • Startup Weekend Singapore - July 2016 • HDB Hackathon - June 2016 (3rd Prize) • AngelHack - May 2016 • Paypal BattleHack - March 2015 (Rainmaker Labs Award) • Paypal BattleHack - September 2014

Unicorn Studios

Freelance Web Designer and Full-Stack Developer
|

Dec 2008 - Jan 2018

• Develop effective User Interface for Web and Mobile Platform using sound User Experience research • Provide clients with sharp User-Experience critique • Clients includes fashion magazine (Vulture Magazine), local startups (Trabble) and NGO (Live to Love)

Projects

JP Morgan Code for Good

Hackathon - 1st Prize
|

Nov 2017

Worked with the charity, Toynbee Hall, to help the most deprived communities get greater access to free advice and support amidst budget cuts. The team developed an app and low-cost IoT fall-detection tracker.

Microsoft 3Hack

Hackathon - 1st Prize
|

Mar 2017

Parrot engine is a plug & play artificial intelligence (RL) service for game developers to integrate into their games.

Dept. for Transport Hack

Hackathon - Best Dev, Best Hack
|

Mar 2017

Transparent Logistics optimises the movement of lorries and workforce and minimises disruption to communities caused by large infrastructure projects by using predictive analysis and voice-activated technologies.