Himanshu Bansal

AI Researcher

Bellinzona, Ticino, Switzerland6 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Innovative researcher in computer vision and deep learning.
Multiple hackathon wins showcasing problem-solving skills.
Expertise in applying AI to healthcare and finance.

Stackforce AI infers this person is a Fintech and Healthcare AI specialist with a focus on machine learning and data science.

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Skills

Core Skills

Data ScienceMachine LearningBig Data

Other Skills

AWSAWS SageMakerAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache KafkaApache SparkApache ZeppelinArtificial Intelligence (AI)Batch ProgrammingBig Data AnalyticsBusiness Intelligence (BI)Cloud FoundryCommunicationComputer Science

About

Innovative computer vision researcher with a rich background spanning data science at JPMorgan Chase, biomedical research at Institute for Research in Biomedicine, and multiple hackathon wins, specializing in applying deep learning to solve complex problems in healthcare and finance.

Experience

Irb | institute for research in biomedicine

2 roles

Computer Vision Researcher

Sep 2024 – Present · 1 yr 6 mos · Bellinzona, Ticino, Switzerland · On-site

Research Intern

Mar 2024 – Sep 2024 · 6 mos · Bellinzona, Ticino, Switzerland · On-site

Working on the project "Generative Adversarial Networks for the generation of in silico live-cell imaging time-lapses" under the guidance of Santiago F. Gonzalez, Igor V. Pipkin, Alain Pulfer.
Generated synthetic images for apoptotic cells.
Simulated the apoptosis process by:
GAN Inversion: Exploring the latent space of StyleGAN2 and StyleGAN3 models
Latent Space Editing: Discovering and applying meaningful modifications to morphological features of the cells through GANSpace

Data Science

Usi università della svizzera italiana

Research Assistant

Feb 2023 – Dec 2023 · 10 mos · Lugano, Ticino, Switzerland · On-site

Built a static Racket code analyser to provide feedback on quality of code through transformers and fine tuning LLMs.

Machine LearningResearchPyTorch

Jpmorganchase

3 roles

Machine Learning Engineer II

Promoted

Feb 2021 – Aug 2022 · 1 yr 6 mos · On-site

Deployed and maintained the ML solution for Loan Reconciliation via a Streamlit API and User Interface on JPMC private cloud (GAIA) using fully automated Continuous Integration/Continuous Delivery(CI/CD) pipeline in Jenkins and Cloud Foundry.
Participated and won the internal AWS Deepracer challenge by optimising the reward function and hyper-parameters of the Reinforcement Learning algorithm.

Machine Learning Engineer

Jul 2019 – Jan 2021 · 1 yr 6 mos · On-site

Improved the efficiency of Loan Reconciliation process in Loan IQ by developing Entity Matching of cashflows through LSTMs and Transformers in PyTorch and SparkML.
Discovered scope of improvement in efficiency of Loan Reconciliation process by interacting with Loan IQ Business Users and doing shadowing sessions in Commercial Banking domain.

Big Data Intern

Feb 2019 – Jun 2019 · 4 mos · On-site

Created ETL(Extract, Transform, Load) pipelines to ingest, process and optimally archive real time stock market positions and PnL (Profit & Loss) data using Scala, Apache Spark and Apache Kafka while actively participating in End-To-End SDLC activities.