Harsh Poonia

AI Researcher

Pittsburgh, Pennsylvania, United States2 yrs experience

Key Highlights

Published research on Neuro-Causal models.
Developed automated systems improving compliance tracking.
Built innovative smart contract auditing platform.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and Blockchain development.

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Skills

Core Skills

Machine LearningSoftware EngineeringBlockchain Development

Other Skills

PyTorchPython (Programming Language)DatabasesBlockchainSmart ContractsAmazon S3TensorFlowComputer VisionREST APIsMATLABSolidityPandas (Software)HTML5GitLaTeX

Experience

Indian institute of technology, bombay

2 roles

Institute Student Mentor

May 2024 – Apr 2025 · 11 mos

Department Academic Mentor

Apr 2023 – May 2024 · 1 yr 1 mo

Optiver

Software Engineer Intern

May 2024 – Jul 2024 · 2 mos · Amsterdam, North Holland, Netherlands · On-site

Created Optiver's automated desk mandates system from scratch, migrating away from manual maintenance and upkeep. Replaced 6-month regulatory compliance cycles with an accessible dashboard showing daily updates.

Python (Programming Language)DatabasesSoftware Engineering

Technische universität darmstadt

Student Researcher

May 2023 – May 2025 · 2 yrs

Worked on Neuro-Causal models for tractable inference at the CAUSE lab (TU Darmstadt and hessian.ai), published as lead author at UAI 2024.
Developed a novel proximal optimization scheme for recovering sparse Granger causal relations in multivariate time series, under submission at NeurIPS 2025.

PyTorchMachine Learning

Marsh mclennan

Developer

Dec 2022 – Jan 2023 · 1 mo · Mumbai, Maharashtra, India

Built the first-of-its-kind smart contract security auditing platform for Marsh McLennan. Built APIs around DynamoDB and AWS S3 for handling the backend using Python.

BlockchainSmart ContractsBlockchain Development