Nipun Bhanot

AI Researcher

New York, New York, United States6 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building robust AI systems.
Strong background in machine learning and optimization.
Proven ability to mentor teams and shape strategic direction.

Stackforce AI infers this person is a Data Scientist specializing in AI and machine learning applications in various industries.

Contact

nipunbhanot29@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData Science

Other Skills

AlgorithmsAmazon Web Services (AWS)AnalyticsApache SparkArtificial IntelligenceBig Data AnalyticsCC++Computational NeuroscienceComputer VisionData EngineeringDeep LearningDeploymentETLForecasting

About

I’m a Data Scientist focused on building AI systems that are robust, explainable, and built to scale. I work at the intersection of machine learning, optimization, and product strategy, translating analytical rigor into outcomes that move the business forward. I’m drawn to challenges that demand both technical depth and strategic clarity: where shaping direction, mentoring teams, and designing long-term foundations matter as much as model performance. I take pride in creating solutions that endure beyond their first deployment. Outside of work, I’m a cyclist, usually somewhere between a long climb or a new route to explore.

Experience

Infor

2 roles

Senior Scientist

Promoted

Nov 2024 – Present · 1 yr 4 mos · Remote

Data Scientist

Jun 2021 – Nov 2024 · 3 yrs 5 mos · Remote

I am a mid-senior level Data Scientist at Infor within the Infor Decision Science and Analytics team. We enable our customers to leverage enterprise ML for more powerful decision-making.

Operations ResearchApache SparkProduct ManagementAlgorithmsData EngineeringSQL+8

University of pennsylvania

Graduate Teaching Assistant

Aug 2019 – May 2021 · 1 yr 9 mos · Philadelphia, Pennsylvania, United States

Conduction of recitations, office hours, exams, doubt-clearing sessions on online portals; grading of exams and assignments; formulation of coursework and exams; mentoring students
[Spring 2021]: Teaching Assistant for the graduate-level course CIS 419/CIS 519 Applied Machine Learning
Instructor: Prof. Dinesh Jayaraman
[Fall 2020]: Teaching Assistant for the graduate-level course ESE 402/ESE 542 Statistics for Data Science
Instructor: Prof. Hamed Hassani
[Fall 2019 and Fall 2020]: Teaching Assistant for the graduate-level course ESE 407/ESE 507 Introduction to Networks and Protocols
Instructors: Dr. Andrew Wang, Dr. Joy Wang

Deep LearningStatisticsAlgorithmsPythonMachine LearningBig Data Analytics+4

Bosch

Software Engineer

Jul 2018 – Jul 2019 · 1 yr · India

Design, development, and testing of base software of electronic control units for cars
Worked on projects for vehicle manufacturers like Renault, Nissan, Mazda, GM, and Subaru for their park pilot and park assist functionalities
Worked on AUTOSAR, CAN, and Ethernet

Allai

Machine Learning Engineer

Apr 2018 – Jul 2018 · 3 mos · Montreal, Quebec, Canada

Development of computer vision machine learning models in fintech

Mcgill university

Research Trainee - Machine Learning

Jan 2018 – May 2018 · 4 mos · Montreal, Quebec, Canada

Segmentation of video sequences into shots using machine learning and removal of spurious information

National institute of mental health and neuro sciences

Machine Learning Engineer

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

Detection of seizures from MEG signals and localization of epileptogenic lobes
Designed and developed a novel seizure detection and epileptic lobe localization system from heavily skewed MEG data
System accuracy = 94.3%, sensitivity = 93%, specificity = 93%