May 2023 – Jan 2026 · 2 yrs 8 mos · Sydney, New South Wales, Australia

• Risk Management Group (RMG) division (July 2024 onwards): Worked in the Counterparty Credit Risk (CCR) Modelling team of RMG Credit. I was responsible for developing/improving CCR models on the HPACT platform of Macquarie Group. This platform is used for calibration and backtesting.
• Commodities and Global Markets (CGM) division (until July 2024): Worked on forex and interest rate-related products like swaps. I was responsible for developing/improving models used for pricing derivatives. I also designed spreadsheets that assess the risk of live and closed-out deals.

Jul 2022 – Jan 2023 · 6 mos · Canberra, Australian Capital Territory, Australia

• Worked on a training schedule optimisation process for the Australian Defence Force (ADF). It is a combination of the assignment/allocation and the scheduling problem in the field of Operations Research (OR).
• The solution involved recasting the problem as a set-union knapsack problem (SUKP) and using integer linear programming (ILP).

Aug 2021 – Jul 2022 · 11 mos · Australia

• Selected among a cohort of STEM PhD students at universities all over Australia. My mentor was Zoe Piper, a Canberra-based entrepreneur, who has founded companies like Ethitrade and Ecolour and is a Canberra Economic Advisory Group member.
• Learnt networking and other soft skills from Zoe over a period of one year, in addition to understanding how technical and research skills acquired over the course of the PhD can be applied in an industrial setting.

Feb 2021 – Jun 2022 · 1 yr 4 mos

• Tutor and lab supervisor for university courses like Computational Problem Solving, Mathematical Modelling, Engineering Mathematics, and Discrete Mathematics.

Sep 2019 – Mar 2023 · 3 yrs 6 mos

• Broadly, my area of research is number theory. For detailed info, see my homepage: https://shehzadhathi.weebly.com/
• Highlights from my current research:
• Employed the high performance computing cluster at NCI, GADI, for verification of a squarefree approximation to the Goldbach conjecture.
• Devised highly efficient number theoretic algorithms using sparse matrices to
• find the best approximation to date in a Linnik–Goldbach problem.
• A little more explanation of what I do:
• I study the properties of prime numbers and arithmetic functions - special functions that encode useful properties of natural numbers. A project that I am currently working on is based on the circle method that is often used to estimate the number of representations of natural numbers as sums of primes (or prime powers). I have been using new computational methods in this area to improve upon old results. Besides this, I am also interested in oscillations of certain arithmetic functions and discovering abnormalities (sign changes) in their behaviour. Even here, more recent computational techniques, like the LLL algorithm, can be brought to bear to yield interesting insights.

Jan 2019 – Aug 2019 · 7 mos · Bengaluru, Karnataka, India

• Worked for a period of eight months as a data scientist in the Business Analytics and Research Division of Fidelity Investments in Bengaluru.
• Created customised natural language processing (NLP) tools such as part-of-speech (POS) tagger, and named entity recognition (NER) tagger for the financial domain.

Jul 2018 – Sep 2018 · 2 mos · Bengaluru, Karnataka, India

• Acquired the necessary technical background for blockchain technologies by reading through papers about consensus protocols, Sybil attack, Byzantine fault tolerance, various signature schemes etc.
• Worked on secure multiparty computation and its applications, mainly focusing on privacy-preserving genetic testing.
• Worked on analysis of a public blockchain, especially for address-linking.

Jul 2016 – Aug 2016 · 1 mo · Greater Rajkot Area

• Teaching internship during Summer 2016 which included special lectures on topics (outside
• normal curriculum) in mathematics and computer science at the middle and high school level.

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

• Text mining using natural language processing (NLP) and other statistical methods. Modified algorithms from available computer science literature to achieve the extraction of key parameters and their values from a slide deck.

Jun 2015 – Jul 2015 · 1 mo · Mumbai Metropolitan Region

• Selected through an online screening process for the Visiting Students’ Research Programme (about 20 students are selected nationwide).
• Submitted a report and gave a seminar on the Representation Theory of Finite Groups as part of the work done at the institute.

Nov 2013 – May 2015 · 1 yr 6 mos · Greater Lucknow Area

• Business plan creation for the 3D printing startup (founded in 2013) after conducting a market survey and an evaluation of the strategies used by market-leading companies like Shapeways.
• Developing the e-platform, right from the SRS (Software Requirements Specification) stage to actual web development, alpha testing and content writing.
• The startup has currently shifted base to Delhi and is one of India’s forerunners in the field of additive manufacturing.