Nissan Karki Email & Phone Number

Oslo, Norway

New York, United States

• Implement a Keyword Extraction ML model to support ad-tech for the website of a major magazine publication.• Supervised an award-winning article recommendation engine using deep learning techniques and collaborative filtering, recognized by the 2023 INMA Global Media Awards.• Supervised the creation of efficient ETL pipelines for data warehousing and optimized SQL queries reducing costs by 50%.• Spearheaded the implementation of CI/CD for all existing pipelines, boosting… Show more • Implement a Keyword Extraction ML model to support ad-tech for the website of a major magazine publication.• Supervised an award-winning article recommendation engine using deep learning techniques and collaborative filtering, recognized by the 2023 INMA Global Media Awards.• Supervised the creation of efficient ETL pipelines for data warehousing and optimized SQL queries reducing costs by 50%.• Spearheaded the implementation of CI/CD for all existing pipelines, boosting productivity and operational efficiency.• Managed a major Salesforce data re-architecture, unifying user and subscription data from multiple sources.• Created a real-time data quality monitoring system, ensuring high data integrity and reliability. Show less

Nepal

• A part of team that’s built and optimized the data warehousing pipeline of a major weekly news magazine. - Automating and optimizing the current ETL pipeline. - Refactor and Normalize databases with a vision for Business Intelligence - Article to video matching with Deep Learning. • Implement and deploy a highly scalable and available article content recommendation backend on Google Cloud Platform. • Build new ETL pipelines and create tables and views in… Show more • A part of team that’s built and optimized the data warehousing pipeline of a major weekly news magazine. - Automating and optimizing the current ETL pipeline. - Refactor and Normalize databases with a vision for Business Intelligence - Article to video matching with Deep Learning. • Implement and deploy a highly scalable and available article content recommendation backend on Google Cloud Platform. • Build new ETL pipelines and create tables and views in BigQuery to serve as the backend for Looker. Reduce API calls, computation time and overall cost of BigQuery. Show less

Nepal

• Student Identity Verification for Proctored exams. [Lead] - Implemented Face Detection and Face Verification models fine-tuned on a custom dataset. - Involved in engineering the entire pipeline, decisions on model selections and fine-tuning, optimality in bringing code to production• Multivariate Time Series sales prediction using CRM and non-CRM data for a major B2B CRM service provider. [Lead] - Involved in feature engineering, time series formulation of data… Show more • Student Identity Verification for Proctored exams. [Lead] - Implemented Face Detection and Face Verification models fine-tuned on a custom dataset. - Involved in engineering the entire pipeline, decisions on model selections and fine-tuning, optimality in bringing code to production• Multivariate Time Series sales prediction using CRM and non-CRM data for a major B2B CRM service provider. [Lead] - Involved in feature engineering, time series formulation of data and model definition and implementation. - Supervised data structure normalization, missing data imputation, and explanatory data analyses - Worked with Apache Spark, HiveQL, Hadoop and related distributed technologies. - Ensured production vision during research, allowing us rapidly move to production within a matter of weeks. Show less

Nepal

• Construction of course materials (content, notes, quizzes, slides) for the FuseAI onsite school for Artificial Intelligence. • Research and development of patent similarity matching models built on top of a patent store and retrieval system. [Lead] - Led a team to research possible solution to match patents for a pharmaceutical company. - Implemented and tested SOTA models like: DRRM, DSSM, DeepRank.• Research and implementation of SOTA Deep RL model for fuel… Show more • Construction of course materials (content, notes, quizzes, slides) for the FuseAI onsite school for Artificial Intelligence. • Research and development of patent similarity matching models built on top of a patent store and retrieval system. [Lead] - Led a team to research possible solution to match patents for a pharmaceutical company. - Implemented and tested SOTA models like: DRRM, DSSM, DeepRank.• Research and implementation of SOTA Deep RL model for fuel efficient vehicular cruise control on semi-trucks. - Involved in heavy model testing and feature selection. - Built and streamlined a pipeline to track all forms of model tried and tested.• Developed a Similarity Measurement Engine for search results, movies and restaurants by employing Spacy and Siamese LSTM networks. [Lead] - Optimized the code to production-level following the factory design pattern. - Performed extensive natural language data cleansing and preprocessing. Show less

Baluwataar, Kathmandu, Nepal

AI Research & Development Engineer.• AI based credit modelling of credit card delinquency in Taiwan. Performed data cleaning, feature engineering, data balancing, model building and training.• AI based logistics operations optimization for a customer in Indonesia.• Research into AI and non-AI based Object Detection systems for supermarket chains.• Research into Graph Databases, specifically Neo4j; compared its performance with more traditional databases like SQL and MongoDB… Show more AI Research & Development Engineer.• AI based credit modelling of credit card delinquency in Taiwan. Performed data cleaning, feature engineering, data balancing, model building and training.• AI based logistics operations optimization for a customer in Indonesia.• Research into AI and non-AI based Object Detection systems for supermarket chains.• Research into Graph Databases, specifically Neo4j; compared its performance with more traditional databases like SQL and MongoDB. Published a paper on it. http://bit.ly/2HgZQlk • Built a web scraping tool for collecting and analyzing the Indonesian Job Market data. Show less

Masters, Data Science

Obtain a thorough grounding in programming, computer science and machine learning. Courses taken: Applied Linear Algebra, Advanced.

Bachelor’S Degree, Computer Engineering

Received semester-wise scholarship for consistently ranking in the top 4 among the entire Computer Engineering department every semester..

Macromasters, Artificial Intelligence, Fellowship

Studying as an AI Fellow in Fusemachines Nepal. Learning from Columbia University's online EDX course that counts towards actual college.

Advanced Java

Attended classes for Beginners and Advanced Java. Also learned Grails and Groovy,

Hseb, Science, Physics, Distinction

Slc