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
9.25 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
9.25Years
- Jul, 2025 - Present 10 months
Data Scientist
KANINI - Feb, 2024 - Jul, 20251 yr 5 months
Senior Machine Learning Engineer
AgShift Data Scientist
EZ Works- Aug, 2020 - Jan, 2021 5 months
Machine Learning Engineer
Foxarco Technologies - Jan, 2021 - Mar, 2021 2 months
Deep Learning Research Assistant
Indian Institute of Science - Apr, 2021 - Feb, 20242 yr 10 months
Machine Learning Engineer
AGNEXT
Applications & Tools Known
MS Word
MS Excel
MATLAB
Solidworks
Work History
9.25Years
Data Scientist
KANINIJul, 2025 - Present 10 months
Senior Machine Learning Engineer
AgShiftFeb, 2024 - Jul, 20251 yr 5 months
Data Scientist
EZ WorksFine-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.
Machine Learning Engineer
AGNEXTApr, 2021 - Feb, 20242 yr 10 months
Deep Learning Research Assistant
Indian Institute of ScienceJan, 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 TechnologiesAug, 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)