Abhishek
Abhishek
Machine Learning Engineer with years of experience creating Machine Learning/Deep Learning models and retraining systems and transforming data science prototypes to production-grade solutions in different type of Domains like BSFI, Telecommunication, Astrology, Music etc. Consistently optimizes and improves real-time systems by evaluating strategies and testing changes. Consistently employs statistical methods and designs to yield real gains from model changes.
- Role
Machine Learning Engineer
- Years of Experience
4.8 years
Skillsets
- Bayesian methods
- Ubuntu
- Natural Language Processing
- Linux
- Bagging
- ARIMA
- time series forecasting
- Mask-rcnn
- Tree-Based Learners
- MySQL
- Shell
- Docker
- Python
- ResNet
- Ansible
- Random Forest
- Python
- Java
Professional Summary
4.8Years
- May, 2021 - Present4 yr 1 month
Machine Learning Engineer
Quantiphi Analytics - Nov, 2019 - Apr, 20211 yr 5 months
Machine Learning Engineer
Quess Corp - Jul, 2019 - Nov, 2019 4 months
Software Entrepreneur
Ojas Softech Pvt. Ltd. - Aug, 2018 - Jun, 2019 10 months
Software Engineer
Fiberhome India Pvt. Ltd.
Applications & Tools Known
Python
Work History
4.8Years
Machine Learning Engineer
Quantiphi AnalyticsMay, 2021 - Present4 yr 1 month
Incorporated Musical and human image data to understand and translate complex business problems into machine learning problems. Composed production-grade code to convert machine learning models into services and pipelines to be consumed at Ground level. Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models. Studied new technologies to support machine learning applications. Worked with new ML Technologies, like Nvidia Rapids, Generative Adversarial Networks (GAN's), Variational Auto Encoders(VAE), Resnets. Designed, developed, modified and debugged programs. Wrote code on Jupyter notebook platform using Docker environment in Google cloud platform(GCP).
Machine Learning Engineer
Quess CorpNov, 2019 - Apr, 20211 yr 5 months
Prototyped machine learning applications and quickly determined application viability. Created customized applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms. Developed advanced graphic visualization concepts to map and simplify analysis of heavily-numeric data and reports. Reduced Resource utilization by introducing automated monitoring systems. Got different client's appreciation after many deployments. Involved in many Management level discussion to drive them to a suitable AIML based business solutions. Consulting clients and client facing teams on advanced statistical and machine learning problems. Worked in BFSI Domain with Airtel money.
Software Entrepreneur
Ojas Softech Pvt. Ltd.Jul, 2019 - Nov, 2019 4 months
Revised, modularized and updated old approaches to modern development standards, reducing operating costs and improving functionality. Design and Deployed Intent Prediction and Intend Classification model under the Machine learning branch of Natural language processing. Developed a POC computer vision project to detect human hand in any image or video. Individually responsible to handle all AI/ML based projects.
Software Engineer
Fiberhome India Pvt. Ltd.Aug, 2018 - Jun, 2019 10 months
Orchestrated efficient large-scale software deployments. Delivered unit changes in tool with required characteristics and within customer-prescribed timeframes. Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance.
Major Projects
3Projects
Document Digitization
Quantiphi AnalyticsMay, 2022 - Nov, 2022 6 months
Developed, Tested and deployed a document digitization model for extracting all the text from any insurance forms.
there are three sections that can be extracted and those are ticked Checkbox Data, Table Data, and key value pairs.
Musical Bridge
Quantiphi AnalyticsJan, 2022 - Mar, 2022 2 months
- Developed multiple models for a use case of human age and gender detection and then segmentation of detected person to find the distance from some musical instruments.
- The use case is to detect age, gender and distance of a person from a musical instrument. SO, that if person come close to instrument the a auto generated background music will starts playing.
- Performed data collection, cleaning, augmentation on different datasets.
- Created a small music generation model for background music.
Threshold Alerting
Mahindra ComvivaMar, 2020 - Feb, 2021 11 months
- Developed, Tested, Deployed a time series analysis model trained on sales and transaction data for thresholding the critical alters for operation team.
- Trained a sentiment analyzer model which can take in information of freshly generated alerts and classify the criticality of the same.
- Also tried and did experiments with LDA for topic modeling of unsupervised alert data.
Education
Bachelor Of Technology
Dr. A.P.J. Abdul Kalam Technical University (2018)
Certifications
Machine Learning with Python
Building Deep Learning Models with TensorFlow
Introduction to Deep Learning & Neural Networks with Keras
Nvidia DLI Certificate – Nvidia Rapids