Sarthak Gupta

AI Researcher

Bengaluru, Karnataka, India2 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Machine Learning and Data Science.
  • Proficient in advanced programming languages and tools.
  • Strong analytical skills with a focus on quantitative analysis.
Stackforce AI infers this person is a Data Scientist with strong expertise in Machine Learning and Software Development.

Contact

Skills

Core Skills

Data AnalysisBusiness AnalysisMachine LearningData Science

Other Skills

AlgorithmsAnalytical SkillsArtificial Intelligence (AI)AutoCADBashC++CUDAComputer ScienceConvolutional Neural Networks (CNN)Deep LearningDeep Neural Networks (DNN)Electrical EngineeringGitHiveQLInformation Technology

Experience

2 yrs 8 mos
Total Experience
11 mos
Average Tenure
10 mos
Current Experience

Confidential

Quantitative Researcher

Aug 2025Present · 10 mos · Bengaluru, Karnataka, India · On-site

Qicap.ai

Software Developer

Feb 2025Aug 2025 · 6 mos · Bengaluru, Karnataka, India

Cadence design systems

2 roles

Software Engineer-2

Promoted

Jun 2024Jan 2025 · 7 mos · Noida, Uttar Pradesh, India

Software Engineer-1

Sep 2023Jun 2024 · 9 mos · Noida, Uttar Pradesh, India

American express

Business Analyst

Jun 2022Jul 2022 · 1 mo · India · Remote

  • Collected and aligned the data using HiveQL and performed an exploratory analysis to create training and evaluation sets
  • Built a Product Propensity model using algorithms like XGBOOST and analyzed the results qualitatively and quantitatively
  • Upgraded best-performing model with Segmentation, benchmarked with current metrics, and deployed for approval by MRMG
HiveQLXGBOOSTData AnalysisBusiness Analysis

Cornell university

Research Intern

Jun 2021Dec 2021 · 6 mos · Ithaca, New York, United States · Remote

  • Analyzed and profiled Facebook's Deep Learning Recommendation Model to find the time-critical PyTorch Kernels
  • Developed Parallelized Sort function in CUDA Lite implementing optimized quicksort and binary search on parallel threads
  • Deployed it on the parallel tiles of HammerBlade Manycore Architecture and moved the kernel to the PyTorch framework
  • Implemented a parallelized version of the PyTorch kernel embedding_bag in CUDA Lite executing it on HB architecture
PyTorchCUDAMachine LearningData Science

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Electrical Engineering

Jan 2019Jan 2023

Apex International School - India

12th — PCM

Apr 2018May 2019

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