Hi there!

Imran Ahmed

I'm a full-time nerd with a Masters in Information Engineering at Cambridge University, currently working as a Data Scientist at McKinsey QuantumBlack in London. I work on developing data-driven solutions to improve the operational efficiency of systems in a range of industries. As part of my undergrad, I also studied for a year at MIT through the Cambridge-MIT Exchange.

In the past, I have interned in both Software Engineering and Product Managment roles at a UK-leading startup, and have researched for NASA at MIT. For my Masters thesis, I developed a method of analysing stethoscope sounds to automatically detect lung abnormalities and segment inhale/exhale cycles.

Please feel free to reach out (my contact details can be found below) if you are interested in getting in touch. For your interest, my resume can be found below - I am particularly interested in opportunities in either Silicon Valley or Boston. I am looking forward to hearing from you!

My Skills

Tap a word below to jump to my relevant experience!

My Projects

A Machine Learning Risk Management Framework

Contributed to a McKinsey + QuantumBlack publication to develop a standardised methodology to identify, mitigate, and communicate risks across the full breadth of applied Machine Learning in industry. This work was presented at the ICLR 2019 Debug ML Workshop in New Orleans. Note, the authors are listed here in alphabetical order.

McKinsey Venture Academy

Co-led the mentoring team at MVA 2019, a competition which supports students building social enterprises in the UK&I. As part of my role, I introduced a series of webinars to connect students with experts in the field, including an entrepreneur from the Skoll Centre at Oxford, a social-impact VC from India, and Entrepreneur First.

Smart Stethoscope to Diagnose Lung Diseases

Supervised by Dr. Anurag Agarwal and Prof. Mark Gales, my masters thesis involved developing methods to automatically identify lung abnormalities from stethoscope sounds. My work explored inhale/exhale segmentation and abnormality classification. Unfortunately, my results are private and under NDA.

Reinforcement Learning for Sepsis

Contributed to research which explored the application of Reinforcement Learning to discover better treatment policies for Sepsis. My contributions centred around investigating reward shaping and temporal dependencies. Our workshop paper was accepted to both the ML4H and TIML workshops at NIPS 2017.

Pure Interaction

As part of HackMIT 2017, we created Pure Interaction - a tool to allow users to efficiently interact with the web with only a webcam as hardware, and the user's expressions, voice and gaze as inputs. We won the Microsoft Prize and were HacKMIT top 10 finalists from an entry pool of over 100 teams.


Built Scholarly.ml - a tool to allow researchers to discover contemporaries who have published similar material and/or share similar research interests. The underlying algorithms used to categorise this data are entirely unsupervised. Try searching for "Yann Lecun" or "Generative Adversarial Networks"


Founded Hackbridge - a student organisation to foster a 'hacker' culture at Cambridge University by encouraging students to actively work together on side-projects/research. Hackbridge hosts weekly hackathons and a speaker series; I led a team to raise money and grow the organisation.

Project Access

Advised Project Access with their technology stack, and served as a mentor to prospective applicants. Project Access is a startup which connects students from under-represented backgrounds to students at top universities, who help guide them through their applications.


Our team created SpatialRL - a software platform to facilitate training RL Agents through combining the Tensorflow interface with the ease-of-use of Unity and the scalibility of SpatialOS. We demonstrated that our approach could be used to train an RL agent using A3C, and were awarded the Improbable Prize at the event.

Educational Video Compression

Created an algorithm to compress educational videos by 100x to reduce the data cost of accessing online education. Our team was awarded a prize at the Facebook Global Hackathon Finals. We productised and donated our algorithm to DotLearn, an MIT-based education startup who are trialling it in Ghana.

Automata Systems

Awarded $5000 funding as part of the MIT Sandbox Innovation Fund to develop a venture within Machine Learning. We used these resources to support various other side-projects while at MIT.


Created Blackbox - a Messenger bot that analysed natural language input and provided curated dating advice for users. Our team was awarded the Facebook Prize at MIT’s flagship annual hackathon (comprising of over 1000 students).


Created SmartJar - a device which predicted the consumption rate of perishables in a home and automatically reordered supplies. Our team was awarded 2nd place at this competitive event out of >70 teams.

My Career

McKinsey QuantumBlack, London

Currently working in London on data-driven analytics projects for blue-chip clients across a variety of advanced industries

August 2018 - Present
Data Scientist

Vivacity Labs, London

• Led the design and development of a novel Cordova-based mobile transport app (“MotionMap”) to commercialise one of the world’s largest city-wide smart-sensor deployments in Milton Keynes, UK.

• Developed internal web-tools to reduce the time spent manually annotating facilities within cities by more than five-fold.

• Facilitated the installation of the sensor network by creating algorithms to help lower installation costs by > £50,000.

June 2017 - September 2017
Product Management Intern

University of Cambridge

Masters in Information & Computer Engineering

• 1st Year Grade: First Class

• 2nd Year Grade: First Class

• MIT GPA: 5.0

• Masters Grade: Distinction

Masters Project: A smart stethoscope to automatically identify lung diseases using Machine Learning

Activities: Cambridge University Eco-Racing (CUER) - Business Manager, Cambridge University Bangla Society - Treasurer, Hackbridge - Founder

October 2014 - June 2018
Information Engineering Student

Interactive Robotics Group, MIT

• Developed an astronaut detection system for the International Space Station, using machine learning. This formed part of a NASA-led research project at MIT for an autonomous robot (“Astrobee”) which will be deployed on the ISS.

• Improved an open-source detection system and implemented a multi-processing module for parallelised classification.

September 2016 - June 2017
Undergraduate Researcher

Massachussets Institute of Technology

Cambridge-MIT exchange student with a concentration in Computer Science.

• MIT GPA: 5.0

August 2016 - June 2017
Cambridge-MIT Exchange Student

Vivacity Labs, London

• Upgraded an outdated machine learning toolkit to give a 300% increase in training performance.

• Designed a computer-vision algorithm in C++ to optimise a segmentation network by processing the model’s predictions and identifying uncertain output for model fine-tuning. This automated what was previously a time-intensive manual task.

• Produced scripts to automate data retrieval from several sources for use in training machine learning algorithms.

June - August 2016
Computer Vision Intern

Cambridge University Eco Racing

• Led a 10-person team to raise funds for this student-led organisation with an operating budget in excess of £1m.

• Overhauled the team’s former sponsorship structure and implemented a formalised system to facilitate fundraising.

• Sourced funds to employ a team of full-time students which allowed us to improve the quality of our vehicle design.

October 2015 - June 2016
Business Manager

Ultra Electronics Controls, Cambridge

• Developed high-level overviews of a safety-critical avionics system and identified areas for improvement; this was done to guide the design of a safer system.

• Built software to automate the time-intensive manual process of cross-checking materials with EU-compliant standards.

July - August 2015
Circuit Design Intern

My Awards

Runners-up, RAEng Future of Engineering Award

A national prize from the Royal Academy of Engineering for young engineers who display entrepreneurial talent.

June 2017

Senior Scholarship, Caius College Cambridge

Awarded a scholarship for my performance in 2nd year Tripos Examinations at Cambridge.

June 2016

RAEng Engineering Leaders Scholarship

A £5,000 scholarship from the Royal Academy of Engineering for students who demonstrate strong leadership potential.

February 2016

Junior Scholarship, Caius College Cambridge

Awarded a scholarship for my performance in 1st year Tripos Examinations at Cambridge.

June 2015

ARM Prize

Awarded a team prize for building the best robot in a competition for 1st year Cambridge Engineers.

October 2014

Harvard Book Prize

Awarded an academic achievement prize by the Harvard Club UK.

January 2013