I

Ishan Dutta

AI Researcher

Bengaluru, Karnataka, India5 yrs 3 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Global Top 30 in multiple Machine Learning Hackathons
  • 3-X Kaggle Expert and Champion at MachineHack
  • Expertise in Deep Learning and Computer Vision
Stackforce AI infers this person is a Machine Learning Engineer with a focus on Deep Learning and Computer Vision in the SaaS industry.

Contact

Skills

Other Skills

AlgorithmsArtificial Intelligence (AI)CommunicationComputer ScienceData MiningData ScienceData StructuresData VisualizationDebateExtemporaneous SpeakingGNU OctaveGitHubLeadershipManagementMicrosoft Excel

About

Hi, I am Ishan a Passionate Machine Learning Engineer who can play a guitar! Presently I am a Machine Learning Engineer II at the Generative AI team in Adobe. Formerly I was a Deep Learning Researcher at Rephrase AI where I worked in Computer Vision. I have recently stepped into making Open Source Contributions and am a member of the Lightning League by Lightning AI Previously I was a Machine Learning Engineer at Metadome AI where we built a metaverse to provide immersive experiences for the virtual world. Deep Learning excites me and in a route to explore greater depths I worked as a Deep Learning Intern at NVIDIA where I implemented Transformer architectures in PyTorch. Additionally I have been a part of a Project at Indian Institute of Technology, Kanpur (IIT-K) as a Machine Learning Intern where I learnt and implemented Time Series Forecasting Models such as ARIMA and FBProphet on Covid-19 dataset. I have done various projects on Data Analytics, Machine Learning and Deep Learning. I have secured Global Top 30 Ranks in multiple Machine Learning Hackathons including a Kaggle Silver Medal. Presently I hold the rank of a 3-X Kaggle Expert and a Champion at MachineHack. Based on my Machine Learning Hackathon Performance I have been offered the position of a Machine Learning Dev Expert at Weights and Biases. Here I am responsible for engineering high quality Machine Learning Notebooks for exciting Kaggle Competitions. I graduated in 2022 from Bharati Vidyapeeth University in B.Tech Electronics Engineering. __ TECHNICAL SKILLS: Languages: C, C++, Python Frameworks: PyTorch, PyTorch Lightning, FastAI, Tensorflow, Keras, Scikit-Learn, NLTK, DateTime, Pandas, Numpy, Matplotlib, Seaborn DataBase: SQL Tools: LaTeX Deployment: Streamlit __ Further I am a Public Speaker and have been a speaker at a number of Podcasts and Events. I have been into Public Speaking for 6 Years and have won 30+ State/National level Speaking Competitions.

Experience

Adobe

2 roles

MLE II (Applied Science & Machine Learning)

Feb 2025Present · 1 yr 1 mo · Bangalore Urban, Karnataka, India · Hybrid

MLE II (Digital Video & Audio)

Nov 2023Jan 2025 · 1 yr 2 mos · Bangalore Urban, Karnataka, India · Hybrid

Lancedb

Technical Writer

Feb 2024Mar 2025 · 1 yr 1 mo · San Francisco Bay Area · Remote

Lightning ai

Lightning League Member

Feb 2023Aug 2024 · 1 yr 6 mos · San Francisco Bay Area · Remote

  • Making Open Source Contributions across Lightning Repositories

Rephrase.ai

Deep Learning Researcher

Jan 2023Nov 2023 · 10 mos · Bengaluru, Karnataka, India · Hybrid

  • (Acquired by Adobe)
  • Working in Computer Vision and Audio Processing

Metadome (formerly adloid)

Machine Learning Engineer

Feb 2022Jan 2023 · 11 mos · Gurugram, Haryana, India

  • Building a Metaverse!

Jarvislabs.ai

Global Brand Ambassador

Nov 2021Mar 2025 · 3 yrs 4 mos · Bangalore Urban, Karnataka, India

  • Representing JarvisLabs AI Globally

Weights & biases

Dev Expert

Aug 2021Mar 2024 · 2 yrs 7 mos · San Francisco Bay Area · Remote

  • Engineering high quality Machine Learning Notebooks for Kaggle and writing Technical Reports.

Nvidia

Deep Learning Intern

May 2021Aug 2021 · 3 mos · Bangalore Urban, Karnataka, India

  • Developed state-of-the-art Multilingual Text Classifier using mBERT implemented with PyTorch Lightning and Hydra configuration attaining ROC-AUC Score of 0.91.
  • Accelerated model training by 40% using Multi-GPU Training with Mixed Precision and converted the deep learning models to ONNX and TensorRT format for inference.

Indian institute of technology, kanpur

Machine Learning Intern

May 2021Aug 2021 · 3 mos

  • Guide: Prof. Mahendra Verma
  • Performed extensive Data Visualization on Covid-19 cases and obtained state-wise patterns and insights.
  • Studied various Machine Learning Techniques and Explored Time Series Forecasting algorithm FBProphet and used it to forecast the active cases.

Network security group bvdu coe pune

Technical Member

Jul 2018Dec 2018 · 5 mos · Pune, Maharashtra

  • I worked with the Technical Team of the Network Security Group and was an integral part of many competitions as well as workshops that were conducted during my tenure.
  • It gave me a good exposure of the new technical trends along with team work. Working with the team played an instrumental part in shaping my career goals.

Education

Bharati Vidyapeeth University College Of Engineering, Pune

B. Tech Electronics — Electronics Engineering

Jan 2018Jan 2022

Surendranath Centenary School

Jan 2005Jan 2018

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