Rawnak Sarker Email & Phone Number

Bangkok, Th

Bangkok City, Thailand

Dhaka, Bangladesh

Panacea Health● A project to cater to the need for responsive healthcare services.● Did library upgrade, database design update, and s3 directory changes incrementally with backward compatibility.● Built data warehouse pipeline from scratch following a simple ETL process to generate various analytical reports.● Designed and developed a symptom checker to help doctors diagnose using an in-house algorithm with Minkowski distance.● Technologies: Python, Flask, ElasticSearch, S3, PostgreSQL, Redis.NID2● A project to avoid two national ids having the same fingerprint.● A microservice-like architecture was employed where data flow was handled gracefully with Kafka and states were stored in ES.● Error handling was also done similarly in an idempotence manner, so that error can just be retried later.● Technologies: Python, Flask, Kafka, ElasticSearch, Redis.FRS● A scalable distributed system made with Apache Spark to handle real-time face recognition.● A face can be matched among 10 million users on average 262 ms.● Hardware: 3 computers, each with 7th gen core i7 processor and 32 GB ram.Recommender System● Several popular recommender systems were tuned and applied on a private dataset to observe accuracy.● E.g. TensorFlow Recommenders, Lightgbm

Dhaka, Bangladesh

Rokomari Core● Achieved data consistency regarding different quantities related to inventory for a highly concurrent system.● Maintained ACID properties of the SQL database with "READ COMMITTED" isolation level coupled with optimistic locking.● This process resulted in zero inventory mismatch which is a milestone for the company achieved after 7 years.● Technologies: Java, Spring, Redis, ElasticSearch, MySQL.Stock Prediction● Did exploratory data analysis and built an ensemble tree model using Xgboost to predict monthly sales of books.● Serving capability from the inventory increased from 25-30% to 60-70%.

Dhaka, Bangladesh

● Coached students on algorithm problem solving for collegiate programming competitions● Lectures: Dynamic Programming, Data Structures, Graph Theory, String Algorithms, Network Flow● Organized several workshops, programming camps, and coding competitions on campus