Shubham Pachori

AI Researcher

Bengaluru, Karnataka, India9 yrs 7 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in Generative AI and LLMs.
  • Proven track record in optimizing predictive models.
  • Strong background in research and development.
Stackforce AI infers this person is a skilled professional in AI and data science with a focus on AdTech and research.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Optimization Algorithms

Other Skills

Statistical ToolsHugging FaceNoSQLAzure DatabricksMicrosoft AzureUnsupervised LearningSQLExperimental DesignSoftware DevelopmentObject-Oriented Programming (OOP)Statistical Data AnalysisStatistical ModelingBig DataTorchCaffe

About

Searching for global optimum.

Experience

9 yrs 7 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 5 mos
Current Experience

Nvidia

Sr. Applied Scientist

Dec 2023Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Microsoft

Data and Applied Scientist 2

Apr 2019Dec 2023 · 4 yrs 8 mos · Bangalore

  • Currently working in the Bing Ads Team (Click Prediction)
Artificial Intelligence (AI)Statistical Tools

Fractal analytics

Data Scientist

Jun 2018Mar 2019 · 9 mos · Mumbai Area, India

Artificial Intelligence (AI)Statistical Tools

Indian institute of technology, gandhinagar

Research Fellow

Jul 2016Apr 2018 · 1 yr 9 mos · Gandhinagar

  • a) The aim is to develop coded camera architecture, associated algorithm and develop a software to achieve extended depth of field.
  • b) Estimate depth from a single image captured by a camera with a coded aperture.
  • c) Modeled the problem in a lasso and L0 regularized framework and used approximation algorithms to solve the NP-hard problem.
  • d) Used calibrated blur kernels to estimate depth map which is then used to obtain all-region focussed image using non-uniform deconvolution algorithms.
Artificial Intelligence (AI)Optimization Algorithms

Ul

Research Intern: Research Platform for Community Water Purification

May 2014Jul 2014 · 2 mos · Greater Chicago Area

  • Reviewed drinking water problems in India, existing designs of water purifiers, analysed water samples and conceptualised a purification process for community based drinking water station.
  • Developed a small working prototype for Capacitive Deionization which works on the concept of electrolysis and periodic reversal of current flow.
  • Presented the plan of the conceptualised model at the UL headquarters at Chicago, USA and Industry Open House 2014 at IIT Gandhinagar.

Education

Indian Institute of Technology Gandhinagar

Bachelor of Technology (B.Tech.) — Electrical Engineering with a minor in Computer Science

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