Every journey starts with the first step, and in this case, starts with the initial product.Constant iteration is the only moat.TypeScriptReact, React NativeViteFirebaseGCPFastAPI

Data model and architecture construction to best serve business and product and bring faster iterative loops.

10xARWindup MindsUniswapEigenlayerSundialKippoRudderStackYou.comBlockdaemonAestheticIgnitionWarpfyLOANtuitiveObviously AIBukuWarungOlaClickContralineEarthSenseUpstockChaldal

Creating a scalable data platform to support petabytes of data. The responsibilities include various aspect of data, infrastructure, and devops.Apache AirflowApache SparkApache DruidApache KafkaApache HiveApache HadoopApache RangerKubernetesDockerTerraformChefAWS Suite (EMR, ECR, EC2, Athena, Glue, Zeppelin etc)GolangScalaPython

Solving privacy issue for compliance with GDPR, European Privacy Directive etc.Pipeline (Apache Airflow)Apache Spark (Streaming, ML, Data pipelining)HiveHadoopData InfrastructureFlaskAsync IOMultiprocessingREST APIKubernetesDockerAB testing

Pipeline (Apache Airflow)Apache Spark (Streaming, ML, Data pipelining)HiveHadoopData InfrastructureFlaskAsync IOMultiprocessingREST APIKubernetesDockerAB testing

Software Engineering:Apache AirflowApache SparkApache KafkaRedisReal Time Detection SystemData Science:ModelingAnalysis and insights

Software Engineering:- Created a bot on AWS Lambda, StepFunction, AWS SNS to automatically deploy, test, and report the status of deployment.- Created NodeJS scripts to handle app data to db ingestion.- Created NodeJS to handle API calls for recipes recommendation results.Machine Learning:- Created a recommendation engine leveraging an unsupervised learning algorithm running on Spark/Hadoop to tackle cold-start problem.- Created a Artificial Neural Network classification model that predicted MoM user churn to 98.5% accuracy. Productionalized on AWS SageMaker with Docker.- Created content and collaborative filtering algorithm to generate personalized recommendation based on Spark and deployed to AWS EMR.Data Engineering:- Created analytics detection infrastructure and alerts- Created SFDC connector to Redshift database- Created Redshift connector to S3- Created API connector to Redshift- Created API connector to Totango- Created API connector to QualtricData Science:- Created the first AB testing platform for the teamSecurity:- Implemented cryptography to data storageTechnology:-Jupyter Notebook- Spark- DynamoDB- AWS Cloudformation- AWS Redshift- AWS ECS- AWS Lambda Function- AWS Step Function- Airflow- LookerLanguages:- Python- Node.js- SQL

Worked on the ads team and found inefficiencies in the funnel resulting in $50m loss a year. Worked on the problem and influenced product team that changed the flow resulting in 50% ads recreate to recapture lost opportunities.

Aggregating information across top VCs to drive competitive intelligence and investment decisions.

Analyzing data over newly launched product: Groupon Now