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
MS Word
MS Excel
MATLAB
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.