◦ Led the modernization and unification of siloed analytics platform within the organization, reducing new projects’ behavior analytics from weeks to a few hours using Terraform, AWS, Python, and FastAPI.

◦ Led modernization of the existing SaaS client data platform, centralizing it and reducing client onboarding time using Databricks and Delta Lake.

◦ Managing the team of 15 engineers, interviewing team members, maintaining technical roadmap, and ensuring the team delivers the project on time.

◦ Involved in high-level design and low-level design design across the projects within the organization.

◦ Used: Python, FastAPI, Databricks, NATS, Deltalake, Terraform, AWS Services (API Gateway, Lambda, SQS,

SNS, ECS, RDS(Postgres), MemoryDB, CodeBuild, CodeArtifact, ECR, Cognito), GitHub Actions.

◦ Architected and developed the health tech product, a microservice system that allows remote monitoring of elderly people for their health conditions resulting in 53% fewer falls-based accidents, and 25% fewer hospitalizations using smart IOT devices.

◦ Implemented the real-time health notification system, which enabled caregivers to respond rapidly to critical health

alerts, using AWS, Python, FastAPI, and Kafka.

◦ Architected and Developed the agrotech product, a microservice-based agrotech system that allows remote sensing of agriculture fields using sentinel-2 satellite and drone survey, which increased crop production by 35% for the clients.

◦ Developed a robust data acquisition platform for drone surveys, allowing seamless upload of large files (30 - 50GB) on unreliable internet connections with resume capability. Additionally, integrated a map tiling server for satellite image retrieval, postprocessing, and conversion to vector tiles.

◦ Used Tools like Python, Starlette, FastAPI, Numpy, WebODM, Terraform, AWS Services (API Gateway, Lambda, Kafka, ECS, RDS(Postgres), DynamoDB, CodeBuild, CodeArtifact, ECR, Cognito), Gitlab CI, Bitbucket Pipeline

◦ Implemented NLP techniques for coreference resolution, mapping pronouns to names/entities. This enhanced contextual comprehension in the knowledge graph, leading to a 19% increase in identifying global macro trends in the trend analytics platform.

◦ Developed and deployed an API aggregation layer tailored for flight and hotel data to cater to abandoned cart scenarios. This initiative resulted in a 23% surge in user engagement across multi-channel marketing efforts, coupled with a 7% uptick in user purchase conversions.

◦ Used Tools like Python, Terraform, AWS(API Gateway, Lambda, Stepfuncion, Elastic Cache)

Worked on the project to develop the trend reporting system for the client.

The trend was extracted from the news for any given topic. Techniques like Clustering, LDA, Sentiment Analysis, Summarization, Co-reference Resolution, Dependency generation, etc were used. I also worked on creating the knowledge graph for the different news and their corresponding trends.