Siddharth Kumar Iyer

Machine Learning Engineer

Gurugram, Haryana, India5 yrs 11 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning.
Proven track record in NLP projects.
Award-winning intern with IBM on depression detection.

Stackforce AI infers this person is a Machine Learning Engineer specializing in NLP and AI solutions.

Contact

siddharth.k16@iiits.in LinkedIn

Skills

Core Skills

Machine LearningDeep Learning

Other Skills

KubernetesdockerSearch Engine RankingNatural Language Processing (NLP)pythonComputer VisionArtificial Intelligence (AI)Music CompositionData ScienceAlgorithmsComputer ScienceNode.jsJavaC++Matlab

About

A machine learning enthusiast working on NLP related problems

Experience

5 yrs 11 mos

Total Experience

5 yrs 11 mos

Average Tenure

5 yrs 11 mos

Current Experience

Zomato

4 roles

Machine Learning Engineer 3

Promoted

Aug 2024 – Present · 1 yr 10 mos

KubernetesdockerMachine LearningDeep LearningSearch Engine Ranking

Machine Learning Engineer 2

Promoted

Jul 2022 – Aug 2024 · 2 yrs 1 mo

Machine Learning Engineer 1

Jul 2020 – Jul 2022 · 2 yrs

Working on the project, mining useful key phrases from unstructured data corpus, in reviews team at Zomato.

Machine Learning Intern

Jan 2020 – Jul 2020 · 6 mos

Ibm

IBM GRM Intern

May 2019 – Nov 2019 · 6 mos

Worked under the mentorship of researchers from IBM Research, on Deep Depression Detection Model to diagnose user depression using multimodal features including video, audio and transcripts and won the AVEC 2019 DDS challenge.
Published: Multi-level Attention network using text, audio and video for Depression
Prediction.
In 9th International Audio/Visual Emotion Challenge and Workshop, ACM MULTIMEDIA,
Nice, France.

Indian institute of technology, kanpur

Summer Intern

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

Summer Research internship at IIT Kanpur under Dr. VINAY P NAMBOODIRI in the field of computer vision on topic Sketch Parsing. The aim of the project was to convert 2D architectural floor planning images to 3D, using OpenCV and WebGl.