Rakesh Kumar Mallik

Lead ML Engineer

Bengaluru, Karnataka, India8 yrs 10 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in Machine Learning and Computer Vision.
  • Proven experience in AI development with major tech companies.
  • Strong educational background from IIT and IISc.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI and Computer Vision technologies.

Contact

LinkedIn

Skills

Core Skills

Machine LearningComputer Vision

Other Skills

PyTorchObject DetectionAgentic AI Developmentai agentagentic patternMulti-agent SystemsVision language ModelRetrieval-Augmented Generation (RAG)TensorFlowMicrosoft OfficeMatlabCC++Microsoft ExcelWindows

About

I am a passionate, hardworking and sincere person with a objective of creating a wonder product that can serve the mankind to it's very best

Experience

8 yrs 10 mos
Total Experience
5 yrs 10 mos
Average Tenure
3 yrs 8 mos
Current Experience

Jio platforms limited (jpl)

Senior Machine Learning Engineer

Oct 2022 – Present · 3 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

PyTorchObject DetectionMachine LearningComputer Vision

Algohash llc

Advisor

Sep 2022 – Sep 2022 · 0 mo · Dubai, United Arab Emirates · Remote

Intel corporation

2 roles

Research Scientist AI/ML

Apr 2021 – Jun 2023 · 2 yrs 2 mos

PyTorchMachine Learning

Data Scientist

Jul 2017 – Mar 2021 · 3 yrs 8 mos

PyTorchMachine Learning

Avtec ltd

Internship

Jun 2012 – Jul 2012 · 1 mo · Hosur, Tamil Nadu

  • Study the power system and design a optimum system for power saving
  • and PLC recoding for saving power

Defence research and development organisation

Internship

Nov 2011 – Dec 2011 · 1 mo · Balasore Area,Odisha, India

  • Study the losses associated with radar wave propagation mostly the enviromental factor

Education

Indian Institute of Science (IISc)

Master of Technology (M.Tech.) — Computational Science

Jan 2015 – Jan 2017

IIT Bhubaneswar

B.Tech — Electrical Engineering

Jan 2009 – Jan 2013

JNV Mundali,Cuttack

+2 science — Science

Jan 2007 – Jan 2009

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