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Abhishek Kumar

Passionate and hardworking Data Scientist with a passion for research on Agentic AIs. Works well in a high pressure environment. Seeking an opportunity to develop under an enterprise where innovative ideas and an eagerness to learn are recognised and rewarded.
  • Role

    ML Ops Engineer

  • Years of Experience

    4.4 years

Skillsets

  • HTML
  • Tableau
  • Shell
  • Seaborn
  • R
  • PyTorch
  • PostgreSQL
  • pandas
  • NumPy
  • MS Office
  • Matplotlib
  • Kubeflow
  • Jupyter labs
  • Java
  • Python
  • Heroku cli
  • GCP
  • Flask
  • Druid
  • Docker
  • Dagster
  • Apache tools
  • AWS
  • C++
  • Python
  • TensorFlow - 4.0 Years
  • Python - 4.0 Years

Professional Summary

4.4Years
  • Aug, 2022 - Present3 yr 7 months

    Data Scientist

    EZ Works
  • Mar, 2021 - Aug, 20221 yr 5 months

    ML Ops Engineer

    Noodle.AI
  • Jan, 2021 - Mar, 2021 2 months

    Deep Learning Research Assistant

    Indian Institute of Science
  • Aug, 2020 - Jan, 2021 5 months

    Machine Learning Engineer

    Foxarco Technologies

Applications & Tools Known

  • icon-tool

    MS Word

  • icon-tool

    MS Excel

  • icon-tool

    MATLAB

  • icon-tool

    Solidworks

Work History

4.4Years

Data Scientist

EZ Works
Aug, 2022 - Present3 yr 7 months
    Fine-tuned Transformers/LLMs on specialized datasets, surpassing state-of-the-art in translation benchmarks. Led Neural Machine Translation model training/inference pipeline development, improving language translation efficiency and quality. Managed a team of 4 in developing an in-house Document Translator Tool backend, aligning with organizational goals. Applied Research on Computer Vision tasks such as Document Recreation and OCR using Transformers. Led the development of an AI-powered PowerPoint Designer Tool to automate slide creation using dynamic layout templates.

ML Ops Engineer

Noodle.AI
Mar, 2021 - Aug, 20221 yr 5 months
    Created new paradigms for end to end data pipelining for B2B products using various tools like Flask, Druid, AWS, postgreSQL, Jenkins, airflow, Dagster etc. Implementing katib for Developing and training models along with hyperparameter optimization. Creating Domain Driven APIs for ease of usage for Data Science Teams.

Deep Learning Research Assistant

Indian Institute of Science
Jan, 2021 - Mar, 2021 2 months
    Data generation, analysis, and augmentation of molecular data. Developing and training a novel GAN/VAE hybrid model to generate new materials with better target properties than existing compounds. Employing Predictive Modeling Using Linear Regression.

Machine Learning Engineer

Foxarco Technologies
Aug, 2020 - Jan, 2021 5 months
    Developed end-to-end machine learning solutions for helmet detection, PAN Card Number Detection, Border collision, face recognition, verification etc., from data collection and preprocessing, to model development and training. Deployed an API for helmet detection on Google Cloud Platform. Helped in android app development of PAN Card Detection.

Achievements

  • Ranked in top 1 percentile in JEE Mains
  • Ranked in top 2.5 percentile in JEE Advanced
  • Finalist of robowars in Kshitij'17
  • Secured bronze in Choreography
  • Double gold in Inter-Hall Illumination and Rangoli

Major Projects

3Projects

Deep Learning Super-Resolution

    Developed a novel attention/GAN based Deep learning model to estimate the High Resolution image (up to 16x) given a Low Resolution image.

Face recognition and Verification

    Face detection from a sample image and recognition and verification of a person's identity based on single image of a person from database.

Neural Network FPGA Implementation

    Implementation of a neural network for handwritten digit recognition on an FPGA, with an 86% accuracy, and a <50ms inference time.

Education

  • B.TECH (Electronics and Comms. Engg.)

    Tezpur University (2020)
  • CBSE (PCM)

    Nalanda Academy (2015)
  • CBSE

    Essar Intl. School, Surat (2013)