Abhik Sarkar
Machine Learning Engineer
Phone Number: +91 9876543210
Email: abhiksark@gmail.com
I am a Machine Learning Engineer with a passion for building scalable and efficient machine learning models. I have experience in building and deploying machine learning models using modern tools and technologies. I am also a strong advocate for open-source and have contributed to various open-source projects.
Skills
Languages
Frameworks, Libraries and Tools
Databases
Concepts
Things I'm Learning
Work Experience
- Successfully set up and led a team, fostering collaboration and expertise in machine learning and deep learning technologies.
- Led the design and construction of an end-to-end platform for scalable deep learning model deployment, leveraging Kubernetes (K8s) for efficiency.
- Implemented a robust model version control pipeline to ensure accurate tracking of model changes and reproducibility.
- Achieved a highly performant pipeline, scaling up from processing 100k videos to 2 million per day.
- Led migration project from cloud to colocation servers, reducing costs by 75%.
- Effectively managed and negotiated with external stakeholders in my geography to offset company costs, resulting in significant cost savings
- Worked as part of the Video Intelligence Team at Athenas Owl, a Media-Based AI Product company.
- Contributed to the development of a cutting-edge product aimed at assisting marketers in cataloging sports moments from vast video content libraries, spanning thousands of hours. Utilized a complex pipeline for different types of classification, object detection, and Siamese Network.
- Responsible for generating new AI features in the product.
- Contributed as an Engineer to a cutting-edge project aimed at developing a comprehensive athlete tracking solution across different sporting categories for amajor global sporting event. Focused heavily on OCR and Tracking. Ensured strict adherence to GDPR (General Data Protection Regulation) guidelines throughout the development process, prioritizing the protection of athletes' privacy and data rights.
- Worked in Human Capital Service Line which deals with research, analysis and design of critical programs involving different aspects of HR Processes.
- Got Trained in Workday which is a cloud-based ERP Solution for human capital management and financial management applications.
- Staffed in worldwide implementation of Financial Giant wherein Delivered both Inbound and Outbound Solutions using Workday Studio and EIBs(Enterprise Interface Builder).
Education
Bachelor of Technology in Computer Science and Engineering
National Institute of Technology, Raipur
2014 - 2018
- Thesis: "Diabetic Retinopathy Detection using Deep Learning"
- Pre-Thesis: Deposist Prediction using Machine Learning Models
- Finalist in the Smart India Hackathon 2018
- Winner of the NIT Raipur Model Making 2017
Data Analyst Nanodegree
Udacity
2018 - 2019
- Completed the Data Analyst Nanodegree
- Projects: Investigate a Dataset, Analyze A/B Test Results, Wrangle and Analyze Data, Communicate Data Findings
- Skills: Python, Pandas, Numpy, Matplotlib, Seaborn, Jupyter Notebook
CS 224w: Machine Learning with Graphs
Stanford Center for Professional Development
2021
- Completed the course on Machine Learning with Graphs
- Skills: Graph Neural Networks, Graph Convolutional Networks, GraphSAGE, Graph Attention Networks
Introduction to High-Performance Computing
CCE Indian Institute of Science, Bangalore
Aug 2023 - Dec 2023
- Single Semester Course on High-Performance Computing
- Skills: MPI, OpenMP, CUDA, Parallel Programming
