I am currently pursuing B.tech in ICT, good at problem solving, data structures and proficiency in various programming languages like CPP, java, python and query languages such as MySQL and back-end language PHP and various machine learning tools like tensorflow and pytorch and opencv. The most complex project i have worked on is FPGA implementation of PCA algorithm and other project is Face-Recognition And Indoor Localization Based Attendance System(Android App) . From these projects despite many problems, we reached the end goal and in the process learnt many new technologies like GoogleFaceNet and Firebase
Worked on Data-warehouse architecture, where migration happens in real-time from production DB's to the warehouse.
Developed ETL pipeline which should handle 50k req/min (serverless and VM based architecture).
Tech-Stack : Python, AWS{Redshift,S3}, MySQL, postgre, MongoDB, Apache Kafka,Debezium.
Worked on a product called environmental.ai which predicts and generates live pollution/heat maps for cities.
Developed a flask microservice for a machine learning model and developed a two-way messaging protocol using Stream REST API's between flask and Nodejs.
Developed different worker modules in Nodejs and implemented a Redis Queuing messaging protocol between containers and the project was based on Databases of time-series and geographic data.
Tech Stack : Docker,Nodejs,Flask,Cassandra,POST- GIS.
Implemented multiple product such as Earn(Interest on your crypto), Portfolio Service, Crypto Discovery Service.
-Implemented Earn where basically users earn interest on crypto which are lent by them across multiple TradFi Products in CoinDCX to manage risks.
-Worked on staking rewards service where users stake their ETH2,ONE,TRX and their rewards.
-Implemented a redis FiFo Queue parallel worker based mechanism for PnL computation on user's crypto portfolio in different base currencies in realtime, which can process 10k transactions in a minute from scratch.