Aniruddha Saha

Product Manager

Ithaca, New York, United States0 mo experience

Key Highlights

Developed a novel multiphysics solver with 40% efficiency improvement.
Achieved 96% precision in defect detection using CNN.
Ranked 10th out of 10,000 teams in algorithmic trading competition.

Stackforce AI infers this person is a highly skilled researcher in computational modeling and quantitative analysis across multiple technical domains.

Contact

as2742@cornell.edu LinkedIn

Skills

Core Skills

High Performance Computing (hpc)Machine LearningQuantitative ResearchQuantitative FinanceAlgorithmic TradingSoftware DevelopmentAlgorithm DevelopmentNumerical SimulationResearch

Other Skills

ANSYSC++ConsultingConvolutional Neural Networks (CNN)Data AnalysisData ScienceDerivativesFluid MechanicsGROMACSGame TheoryGraphics Processing UnitHigh-Frequency TradingImage ProcessingMATLABMath

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Tradeinsightai_

Quantitative Researcher

Jun 2025 – Aug 2025 · 2 mos · New York, United States

Engineering high-frequency micro-second trading data analysis for predicting volatility breakouts with statistical validation.
Designing trading strategies using order %ow and volume imbalance driven by shifts in buyer-seller pressure.

Quantitative ResearchPandas (Software)Quantitative DataQuantitative Finance

Imc trading

Global Top 10 in IMC's Algorithmic Trading Competition

Apr 2025 – Apr 2025 · 0 mo

10th/ 10000 teams in IMC Prosperity 3, focusing on trading various commodities in real time by developing algorithms along with mathematical models.

Algorithmic TradingGame TheoryHigh-Frequency TradingPython (Programming Language)

Ansys

Software Engineer

May 2024 – Aug 2024 · 3 mos · Austin, Texas, United States

Engineered a novel algorithm to decode thermal properties from grayscale circuit layouts to improve speed by 3X.
Designed spatial points maps using computational geometry to detect boundary from >1M data points.
Developed the frontend and backend using PySide6 creating a software module for circuit #le processing <1 minute.

Problem SolvingImage ProcessingProgramming ConceptsResearch ComputingPython (Programming Language)Derivatives+4

Nasa ames research center

Software Engineer

Jun 2023 – Aug 2023 · 2 mos · California, United States

Collaborated with computational teams to develop filtering algorithms for PuMA (NASA multiphysics software) .
Created Monte-Carlo methods to evaluate complex integrals in 3D space with sparse data that is 100X faster than before.
Identified periodicity in filtered data by statistically analyzing certain kernel functions leading to better choice of kernels.

Problem SolvingProgramming ConceptsMathWritten CommunicationNumerical SimulationTechnical Papers+3

Heat inverse

Software Developer

Jul 2022 – Dec 2022 · 5 mos · Ithaca, New York, United States

Simulations in python to understand the thermodynamics of thin-film meta materials using Lowtran

Problem SolvingSustainabilityProgramming ConceptsC++Written CommunicationPython (Programming Language)+2

Cornell university

Computational Modeling Researcher, PhD student

Aug 2021 – Present · 4 yrs 10 mos

Led computational and numerical modeling efforts to develop in-house multi-physics solver [5 publications]
◦ Developed the first hybrid C++/python based multiphysics solver to model spatial geometry variation for combustion.
◦ Predicted novel toplogies using minimal area lattices that supersede current state-of-the art combustion efficiency ~40% . ◦ Created numerical methods that enable 6X improvement in accuracy/cost efficiency of computational physics solvers.
◦ Derived new mathematical models to solve linear damped systems using 4th order Runge-Kutta method to model flows.
◦ Developed a stochastic optimizer for maximizing 'ow using sinusoidal surfaces that surpass the state-of-the art by 5X.
◦ Implemented an autoencoder-based CNN using TensorFlow to detect defects in X-ray images, achieving 96% precision.

Problem SolvingOpenFOAMC++Shell ScriptingPython (Programming Language)Ntop+8

Indian institute of science (iisc)

2 roles

SRFP Fellow, Research Collaborator

Aug 2019 – Nov 2021 · 2 yrs 3 mos

Discovered new mathematical formulation to represent polymeric coalescence of droplets through analytical methods. Using of high speed imaging to record data and their processing to reveal new dynamics of droplets that impact areas such as 3D printing and chemical emulsification

Problem SolvingImage ProcessingWritten CommunicationMathematical ModelingTechnical PapersPython (Programming Language)+2