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An enthusiastic and creative person with positive attitude, looking forward
to succeed in an environment of growth and excellence by securing a job
which provides me the ways of constant learning and help me achieve
organizational as well as personal goals.

Senior Software Architect skilled in leading cross-functional teams and driving efficiency through innovative solutions. Proven track record of optimizing LLM applications and microservices, achieving significant performance improvements and streamlining operations. Dynamic Senior Data Architect specializing in AWS, Kubernetes, and Java. Proven track record in leading high-impact projects that optimize data processing and enhance system performance.

January 2022 - Present
Software Engineer and AI / ML Engineer Interview Preparation

  https://leetcode.com/rnotappl/: Solved approximately 2800 problems on Leetcode.
  https://www.kaggle.com/rishikumar1987: ML projects involving supervised and unsupervised learning, deep learning, natural language processing, computer vision.
  https://github.com/rnotappl8: System Design, Design Patterns, HTML, CSS, Javascript/Typescript, React, Django, Flask, Python, PHP.

October 2016 - January 2021
PhD in applied mathematics and mathematical physics
Imperial College London, London, UK

  Investigated analytically and computationally the linear and nonlinear stability of various shear flows and applied effectively a mixture of analytical, numerical and machine learning techniques to solve challenging problems in fluid dynamics/aerodynamics. The project aimed to develop, implement and exploit machine intelligence paradigms to enable a new approach to wall-turbulence control.
  Performed asymptotic analysis and carried out sophisticated numerical computations through various programming languages such as MATLAB, Python, and C++.

September 2012 - July 2016
Master of Mathematics (M.Math (Honours))
Applied mathematics and mathematical physics, Probability and statistics, 1st class, University of Manchester, Manchester, UK

  Cumulative average: 88.28%, and top 1% of the class.
  2012-2016 (Marks at the end of year Examinations): 1st Year – 92.4%, 2nd Year – 91.6%, 3rd Year – 91.1%, 4th Year – 83.75%.
  Subjects studied include: Probability 1; Introduction to Statistics; Sets, Numbers and Functions A; Linear Algebra A; Mathematical Workshop; Calculus and Vectors A; Calculus and Applications A; Calculus of Several Variables; Fluid Mechanics; Partial Differential equations and Vector Calculus A; Probability and Statistics; Metric Spaces; Introduction to Geometry; Real and Complex Analysis; Classical Mechanics; Asymptotic Expansions and Perturbation Methods; Riemannian Geometry; Stability Theory; Green Functions; Integral Equations and the Calculus of Variations; Elasticity; Wave Motion; Viscous Fluid Flow; Brownian Motion; Intro to Number Theory; Continuum Mechanics; Stochastic Calculus; Matrix Analysis; Mathematical Modelling in Finance.
  I worked on an industrially funded mathematical modelling project during the summer between years 3 and 4.
  I worked on fourth-year projects 'Introduction to Geophysical flows' and 'Flame balls in mixing layers'.
  I have worked on numerical Matlab projects (awarded 87%) in the 1st Year. I have used R-software to tackle a project (awarded 94%) in statistics, to analyse practical data using standard methods.


Dynamic Senior Electrical and Computer Engineer with 12+ years of experience leading high-impact software, hardware, AI/ML, and embedded systems projects across aviation, biomedical, deep-tech, and Silicon Valley environments. Holds a double major with honors from the University of Toronto.

Vivek Aleti

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President

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GitHub Team Lead

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B.Tech - AI

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