Leadership, Supply chain visibility and risk assessment technology, Elastic search, GraphDB, LLM, Python Django, GoLang, Kubernetes

Data science & engineering ,ElasticSearch, MongoDB, Python, ReactJs, Docker, Kubernetes

ReactJs , Flutter , Java , Nodejs , PHP, Python, AWS , Microservices , Kubernetes-- Built Lending, STC -- Built Current Account ( new and exiting banking)-- Built Group & Retail insurance

Our tech team follows a five-prolonged philosophy: discuss, disagree, agree, analyse, and code. Our fifteen member team cultivates a more immersive approach to technology while exemplifying customer service and operational excellence. Our tech stack includes ReactJs, Python - Django, Postgres, AWS, Docker, Data Science, Analytics, IOT, AI & ML.

--Re-Imaging Technology for Direct to the consumer. --Learning and building Omni Channel. --Writing code - Django Python, NodeJs , SpringBoot, MicroServices, GoLang, Cloud.--Working something amazing in Tech for Retail Store Experience.--Building Demography - Customer/ Personalization (Online /Offline) and leveraging omni experience.

Heading Backend Tech for Partner App:-- Tech Stack - NodejS, MongoDB, AWS, Python , RedShift--Tech Architecting - HLD, LLD , --Execution Plan - Assign/Allocate, Monitor sprint velocity, Code Review--Resource Management - Reviews & Appraisal, hiring, MDA , KRA--Individual Contributor - Writing codes, Unit Test, Infrastructure & Scale, tech roadmapMajor Contributions :(A). Partner App : Supplier on boarding automation --Strategic Nudges, Easy Signup, Automated Personal & Police Verification. All backend API's for Partner app.(B). Monetization : Was heading tech for this project. This is was my first project @UC . Partner need to recharge - buy credits in order to respond jobs. Sole owner of project from App side to Backend . Launched this project in Dec 2015. (C). Realtime Booking - Ability to find nearby Emergency services - Electrician, Plumbers etc. Scheduling Management of Suppliers across Booking category like - Salon at home, Driver on demand, Appliance repair.(D). Payment : Across platform - Partner or Customer. 7-11 % of conversion growth using tech & UI improvement with PayU, RazorPay, Citrus, PayTM.(E). Business Support Via Tech: Heading Ops management tools & technology. Implementation of IVR , automated ticket creation and management, third party tools enhancement & support - Freshdesk, Texo, MailChimp, Exotel etc.Tech Stack :-- MERN/MEAN - MongoDB, ExpressJS, ReactJs, AngularJs, NodeJs-- MySql 5- Sequalize, Redis-- Python : Airflow-- AWS - CodeDeploy, EC2, ELB, CloudWatch, ECS, S3, Redash, Kinesis, Lambda-- Monitoring & Alerting -New Relic, Nagios, Graphite, LDAP, MongoMMS, EFK( ElasticSearch ,FluentD,Kibana)

--Ideation to POC --POC --> go to market product --> Sales support --> scale-- Hiring and building & leading team

Founding tech member @Jabong.comWas Part of Soft Launcher Of Jabong.com Major Contributions :(1). Soft launcher, Set up Dev , Stage Environment. Part of Infrastructure deployment team. (2). Heading Payment as Infrastructure in Tech. Single Checkout Implementation leads to 20% conversion up.(3). Catalog Listing & Search - Apache Solr implementation with Multiple Tokenizer's (4). Lead Team of 7 Developers : MDA, KRA, Hiring etcTech Stack :-- PHP - YII,Zend-- MySql-- MemCache-- Solr-- Gearman -- Puppet, Bash Script-- Alerting & Monitoring - New Relic, Nagios

Developed a product from scratch - MIS dashboard over ebizframe ERP LLD , Coding - Java Struts, High-chart , Oracle 8i/9i/10Gonsite engineer - West Africa