Jayshwor Khadka
Tech Enthusiast, Data Scientist, DevOps, Infrastructure Engineer and Cloud Engineer
- Address: Paris, France
An accomplished Data Scientist and ML Ops Engineer with over six years of experience in developing, deploying, and maintaining machine learning models.
About Me
Jayshwor Khadka is an accomplished Data Scientist and ML Ops Engineer with over six years of experience in developing, deploying, and maintaining machine learning models. He has a proven track record of integrating seamlessly into agile technical teams, contributing significantly to projects that span various domains, including finance, sales, and industrial applications. Throughout my career, I have worked with various organizations, where I have contributed significantly to the success of projects by implementing innovative solutions and optimizing processes. My goal is to continue growing as a professional, taking on challenging projects that push the boundaries of what technology can achieve.Challenges accomplished
Work Experience
Data Scientist / MLOps / Cloud Infrastructure Engineer
Org: Makit Technology
Jan 2024 - Present
Location: Paris
Key Responsibilities:
- Implemented CI/CD for ML models using AWS CodeBuild, StepFunction, and Terraform.
- Restructured and architected AWS cloud infrastructure.
- Deployed language models in production, including LLMs like GPT and LLAMA.
- Developed chatbots and automated infrastructure using advanced AI models.
- Develop an understanding of the existing IT infrastructure
- Evaluate existing and emerging technologies.
- Streamline workflows by implementing inventive technical solutions.
- AWS-specific cloud components such as EC2, EFS, AWS Lamda functions, API Gateway, RDS, etc
- Key Projects : Named Entity Recognition(NER) for Resume Anonymisation, AI Chatbots, Infrastructure Automations
- Tech Stack : Vector Database - FIASS, ChromaDB, Python, AWS, Docker, EFS, EC2, ECR, Web Socket, API Gateway, Terraform, CI/CD
Key Responsibilities:
- Data Preparation and Migration - ETL , AWS Glue, AWS Lambda
- Training and testing different Machine Learning Models in AWS Sagemaker
- Create ML Pipeline, Monitoring model drift, and data drift
- CI/CD Automation ML-code pipeline using AWS CodeCommit, AWS CodePipeline
- Design performing and scalable Machine learning architecture
- Deployment of ML Model, Invoking for batch and real-time inference
- Create Restful API - FastAPI for different services
- End-to-end industrializing Data Science project
- Key Projects : Fraudulent Transaction, ESG Scoring, Sentiment Analysis in Finance, Classification Model
- Tech Stack : Elastic Search, AWS, MongoDB, MySQL, Python, FastAPI, Apache Airflow, Docker
Key Responsibilities:
- Milestone: Implementation and roll-out of Sales Force Automation Project.
- Stored, retrieved, and manipulated data from SQL Server, Salesforce, and Dynamics 365 ERP.
- Prepared detailed reports for different departments using PowerBI.
- Ingest, Model, Query, Analyze and Visualize Data.
- Successfully implemented Salesforce ERP and improvised existing software to correct errors and optimize efficiency.
- Milestone: Developed customer segmentation model for 60K Outlets.
- Sales Forecasting model and price sensitivity model for product mix.
- Personalized Marketing insights.
- Milestone: Tracked 90% of merchandise and 92% of market coverage.
- Sales team management: Geo-distribution, sizing, and prioritization.
- Merchandise tracking with its performance.
- Key Projects : Sales Force Automation, Sales Forecasting, Personalized Marketing, Merchandise Tracking
- Tech Stack : PowerBI, DAX, Data Visualization, SQL Server, Dynamics 365 ERP, Advanced Excel, SLA Documentation
Key Responsibilities:
- Lead and manage developers for the school app.
- Trained the marketing team.
- Led the project implementation and supported clients.
- Handled backlogs and managed the support team.
- Manages subordinate staff in the day-to-day performance of their jobs. Ensures that project/department milestones/goals are met.
- Coordinate the call center employees so that they can provide specific technical support individually to schools,teachers and parents.
You can also check my work experience on my LinkedIn profile: LinkedIn
Education
EPITA, School of Engineering and Computer Science - Paris, France
MSc in Data Science and Analytics - 2022
University of the West of England - Bristol
MBA Specialization in Project Management - 2019
Kathmandu University - Dhulikhel
Bachelor in Engineering in Electronics and Communication - 2017
Baylor International Academy - Banepa
+2 Science, Lycée
Featured Projects
Implementation of Project Sales Force Automation (SFA)
SFA is a sales app that automates the basic tasks of any sales personnel. As FMCG is transforming and most tasks are now being automated, it's important to have proper data and analyze it continuously to track and make strategic decisions based on such data.
Midas School App
Midas Technologies is a software company based in Nepal, working on hospital, school, and college software since 2001. I joined Midas as a Software Project Implementer. During my tenure, I had the privilege of working with some brilliant minds and learned a lot. The School Android App is one major project I was heavily involved in. For more about the Midas E-Class learning platform, please visit their website.
View project / case study