Mookund Sureka

Business Analyst

Mumbai, Maharashtra, India6 yrs 10 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in Deep Learning and Machine Learning applications.
  • Proven experience in quantitative research and analysis.
  • Strong foundation in Computer Vision and Graph Neural Networks.
Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Computer Vision.

Contact

LinkedIn

Skills

Core Skills

Deep LearningMachine LearningComputer Vision

Other Skills

Artificial Intelligence (AI)C++Camera ISPData AnalysisEnglishFinanceGraph CNNsHyperparameters TuningLeadershipMathematicsMatlabMicrosoft WordProgrammingPyTorchPython (Programming Language)

Experience

Quantbox research

Quantitative Researcher

Sep 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Wallsoft labs

Quantitative Trader

Aug 2020 – Jul 2024 · 3 yrs 11 mos

Indian institute of technology, bombay

Researcher

Jan 2019 – Jun 2020 · 1 yr 5 mos · Mumbai Area, India

  • Visualization in Graph CNNs |Deep Learning Guide: Prof. Amit Sethi, IIT Bombay
  • Modelled histology tissue as a graph; built a GCN network based on node attention mechanism
  • Proposed method highlights relative contribution of each cell nucleus in the whole-slide image
  • Designed guided backprop and Grad CAM techniques for graph convolutional networks
Deep LearningGraph CNNsVisualizationMachine Learning

Qualcomm

Summer Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

  • Camera ISP hyperparamters tuning for Computer Vision Applications
Computer VisionCamera ISPHyperparameters Tuning

Education

Indian Institute of Technology, Bombay

Dual Degree (B.tech + M.Tech) — Electrical and Electronics Engineering

Jan 2015 – Jan 2020

DTU - Technical University of Denmark

Exchange Semester — Electrical and Electronics Engineering

Jan 2018 – Jan 2018

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