En-PKI (public key infrastructure)Build an in-house PKI platform, successfully retrofitting 3M+ devices with Identity and Operation certificates. Demonstrated proficiency in issuing certificates for an extensive scale, covering 10M+ devices, and implemented a robust revocation capability. It makes Enphase cloud and devices ecosystem secure by providing x509 certs for MTLS and MQTT protocols based communicationOTA (Over-The-Air)Designed and implemented an Over-The-Air (OTA) update system, ensuring the secure deployment of firmware packages through an in-house Public Key Infrastructure (PKI) platform. Orchestrated the development of infrastructure to efficiently manage updates for over 3M+ devices.

Spectrum Book of Record Distribution System:Redesigned the caching solutions of Spectrum book of Record platform to improve Query performance of Trading data . It brings down the average timing within milliseconds from 3 seconds of T and T-1 data . It enhances query performance as well client experiences , helps to onboard more clients to adopt platform. AWS Config driven data ingestion pipeline :Developed a config driven ingestion pipeline on AWS to ingest historical as well as real-time data. It supports multiple data upstream systems like Kafka driven, API based , SFTP location and pipeline is based on S3, Lambda, DynamoDB, Redshift , SNS , SQS. It has capability to ingest GB’s of data per day.

Developed and Re-engineered distributed event driven , microservice based single API platform sourcing Trading data from disparate datanase available on private cloud as well as public cloud with Dynamic filter as API footprint Implemented realtime Distributed caching solution with capabilities to store trading data of 25k accounts and 35 GB data per day which reduced query time by more than 50% ( 9s to 4s)It has multiple consumption channel API, Bulk streaming and messaging. Dynamic API footprint helped numerous clients to onboard to the system without changing API footprint for existing clients

MapCat: fuzzy matching module Developed an automated ML mapping solution for physical and logical data model of Trading system with feedback machanism and RecommendationsIt saves hours of manual effort of SMEs for model mapping across the firm which costing time and money to the company.

Developed an automated ML platform which enables Data scientist to do data preprocessing, Feature engineering and visualisation , makes it ML model training ready data