Aaman Peter Rebello

Software Engineer, Morgan Stanley

United Kingdom

500+ connections

Updated 7 months ago

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Years Experience

Roles

Skills

Education

About

My areas of interest are quite varied; I enjoy writing software algorithms and building web apps but have also dived into machine learning research; in particular reinforcement learning and hyperparameter optimisation. One area I would love to understand more is training and applying transformer models (e.g. LLMs) in practical scenarios. In general, I am inquisitive and enjoy learning new things, applying knowledge and teaching others. My education includes an MEng in Electronic and Information Engineering (Computer Engineering) and an MSc in Advanced Computing, both from Imperial College London. They have given me a solid theoretical background, experience with different programming frameworks, as well as research experience. Interesting topics I studied at Imperial included NLP (which stimulated my interest in transformers), reinforcement learning, knowledge representation (i.e. logic), scalable systems and databases, blockchains, computer architecture and digital system design. Outside technical topics, I love to interact with different people and understand their perspectives, whether this is through teaching, representation or just general day to day life! Hopefully I can use my skills to make the world a better place for all these people (and animals and plants). Feel free to get in touch with me about anything via LinkedIn or email!

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Experience (7 roles)

Full Stack Software Engineer

Current

Morgan Stanley · Full-time

Aug 2023 - Present · 2 yrs·London, England, United Kingdom · Hybrid

I help build and maintain web applications that facilitate the Prime Brokerage (PB) business. I also help modernise these applications to run in new frameworks and platforms. The applications help oversee opportunities for the PB business, manage these opportunities, put together regulatory informat...

Part-time · 1 yr 3 mos

2 roles · Jul 2022 - Sep 2023

Undergraduate Teaching Assistant - Deep Learning

Jan 2023 - Mar 2023 · 3 mos·London, England, United Kingdom

This course focuses on theory, supplemented with practical exercises allowing students to explore usage of the machine learning models. Topics covered: deep neural networks (DNNs); gradient descent; optimisers; dropout and batch normalisation; convolutional neural networks (CNNs); benchmark CNN mo...

Undergraduate Research Opportunity (UROP)

Jul 2022 - Sep 2023 · 1 yr 3 mos·London, England, United Kingdom

I developed a novel technique for hyperparameter optimisation based on low-rank tensor completion, collaborating with Prof. Danilo Mandic, Dr. Kriton Konstantinidis and Dr. Yao Lei Xu. We published a paper on this at ICASSP 2022 but unfortunately, due to clashing commitments, were not able to contin...

Part-time · 6 mos

2 roles · Oct 2021 - Mar 2022

Undergraduate Teaching Assistant - High Level (F#) Programming

Jan 2022 - Mar 2022 · 3 mos·London, England, United Kingdom

The module teaches students functional programming through the F# language. It covers some functional programming theory while mostly being focused on practical coding in F#. Theoretical topics included: treating of state as immutable; Hindley-Milner type systems; monads; pipelining of functions to...

Undergraduate Teaching Assistant - Machine Learning

Oct 2021 - Dec 2021 · 3 mos·London, England, United Kingdom

This module teaches machine learning theory, supplemented with some practical exercises so that students can apply the models and concepts discussed. Topics covered include: the mathematical formulation of machine learning problems (hypothesis classes, feature spaces, data sets etc), generalisatio...

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Education (4)

Imperial College London

Oct 2022 - Oct 2023

Grade: First Class honours (average 82.13% in modules, 85% for dissertation) Modules: Advanced Computer Architecture, Scheduling and Resource Allocation, Scalable Systems and Data, Reinforcement Learning, Knowledge Representation, Robot Learning, Natural Language Processing, Quantum Computing, Principles of Decentralised Ledgers. Thesis Project: Leveraging Factored Action Spaces for Off-Policy Evaluation. Supervised by Dr Sonali Parbhoo.

Imperial College London

2018 - 2022

Grade: First Class Honours (79.91% overall, where First Class Honours is at least 70%) Activities and societies: Year 1: Class Academic Representative. Year 3: Student Representative for Deep Learning Module. Year 4: Student representative for two modules: Adaptive Signal Processing and Machine Intelligence, and Signal Processing and Machine Learning for Finance. Provided ideas from a student perspective for the curriculum review of my course. Helped on the College Open Day as a guide, describing life in the EEE Department to interested prospective students. Electronic and Information Engineering as a course is similar to most Computer Engineering courses. We learn about the full stack of technology within computers and electronic devices, as well as applications of these. This vast syllabus encompasses circuits, digital electronics, signals, communication systems, protocols, computer architecture, assembly language, compilers and software engineering in C++. An important underlying subject for all of this is mathematics - including vector calculus, probability and statistics, linear algebra and tensors. In the third and fourth year, I chose modules in which I could learn about high level applications such as functional programming, machine learning, deep learning, databases, data privacy and data signal analysis. I took additional modules in psychology, economics and corporate finance. My 6 month placement at Morgan Stanley took place during the third year. It provided a real-life context to apply what I learnt in university. Skills: Mathematics · Software Development · C++ · Object-Oriented Programming (OOP) · F#

Manovikas School

2016 - 2018

Grade: 97.0% overall I studied Physics, Chemistry, Mathematics, Biology and English (language and literature). Skills: Mathematics

Skills (38)

Project ManagementNatural Language Processing (NLP)Web ServicesMachine LearningEngineeringArchitectural DesignAnalytical SkillsLinearFlowPythonTransformersReinforcement LearningAmazon Web Services (AWS)JavaMathematical ProgrammingWeb DevelopmentPythonC++MathematicsResearch SkillsComputer VisionObject-Oriented Programming (OOP)Software DevelopmentDeep LearningTypeScriptAngularJiraSnowflakeDockerKubernetesAWSCloudLinuxJavaMySQLLinearTransformersLinkedIn

Publications (2)▼

Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning

IEEE · May 5, 2023

Leveraging Factored Action Spaces for Off-Policy Evaluation

International Conference On Machine Learning (ICML)

Languages (6)▼

Spanish(Elementary proficiency)French(Limited working proficiency)Konkani(Elementary proficiency)English(Native or bilingual proficiency)Hindi(Limited working proficiency)Portuguese(Limited working proficiency)

Honors & Awards (5)▼

Top UTA Prize

Issued by Imperial College London - Department of Electrical and Electronic Engineering · Oct 2021

Associated with Imperial College London The prize recognises the contributions of UTAs (undergraduate teaching assistants) who help teach the first and second year. I was one of 5 recipients in the department after my students from the first year mathematics modules nominated me. If you are from that batch and reading this, I just want to say thank you:) It was genuinely a pleasure, and you are an extraordinary group of students. I hope you had as much pleasure learning maths as I enjoyed helping teach you.

Dean's List for Academic Excellence - Year 3, EIE MEng

Issued by Imperial College London - Department of Electrical and Electronic Engineering · Sep 2021

Associated with Imperial College London Awarded to students in top 10% of the year (overall marks: 82.54%).

Dean's List for Academic Excellence - Year 4, EIE MEng

Issued by Imperial College London Department of Electrical and Electronic Engineering · Aug 2022

Associated with Imperial College London Awarded to students in the top 10% of the year (overall marks: 80.75%).

Dean's List for Academic Excellence - Year 2, EIE MEng

Issued by Imperial College London - Department of Electrical and Electronic Engineering · Jul 2020

Associated with Imperial College London Awarded to students in top 10% of the year (overall marks: 77.39%)

Distinguished MSc Project

Issued by Imperial College London Department of Computing · Oct 2023

Associated with Imperial College London Awarded to MSc projects that score over 85%. My project was: Leveraging Factored Action Spaces for Off-Policy Evaluation with Dr. Sonali Parbhoo and Dr. Shengpu Tang.

Frequently Asked Questions

What is Aaman Peter Rebello's current role?▼

Aaman Peter Rebello is currently working as Full Stack Software Engineer at Morgan Stanley · Full-time.

Where did Aaman Peter Rebello study?▼

Aaman Peter Rebello studied Master of Science - MS, Advanced Computing at Imperial College London. They have 4 education entries on their profile.

What skills does Aaman Peter Rebello have?▼

Aaman Peter Rebello's top skills include Project Management, Natural Language Processing (NLP), Web Services, Machine Learning, Engineering. They have 38 skills listed on their profile.

Where is Aaman Peter Rebello based?▼

Aaman Peter Rebello is based in United Kingdom.