Conducted a comparative analysis of message of broker systems: RabbitMQ, Kafka, and Pulsar across diverse real-time workloads, scaling up to 10 million message requests.

Built a Python-based benchmarking framework with multi-threaded producers/consumers, simulating real-world stream data environments.

Captured high-precision performance metrics (latency in microseconds, throughput, CPU, memory, disk I/O) using Datadog on Azure VMs.

Designed and deployed cloud infrastructure using Docker, Terraform, Kubernetes YAML, ensuring isolated, reproducible test environments.

Integrated NASA's streaming video API as a real-world data source to mimic dynamic workloads and validate broker reliability.

Published complete codebase, setup documentation, and recommendations on GitHub for open access and future extension.

Identified up to 40% variance in throughput under load, revealing key trade-offs in scalability, latency, and resource efficiency across messaging systems.

Use profiles, roles, sharing rules and code to implement security.

Code Triggers, Batch Apex, Lightning Web Components, Aura Components and Test Classes.

Plan and setup third-party Integrations for lead collection via Facebook, Website and Mobile App.

Design and develop complete payment flow providing a boost revenue of 35% under 2 months.

Collaborate with multiple business partners and team members towards successful Salesforce Sales Cloud implementation.

Use Workflow rules, Process Builders, Approval Processes and email alerts to send email/bell notifications to end users.

Execute data migration using Data Loader, Data Import Wizard, Workbench and Excel.

Develop, manage, and improve validation rules, custom workflows, custom objects, Apex customizations, fields and formulas.

Implement APIs, Triggers and Controllers using Apex Code.

Work with aspects of Web Services (XML, JSON, REST).

Engage on best practices and achieve average Test Coverage of more than 90% and maintain the same for deployment.

Debug and test APIs using Postman.

Develop and execute distinct test cases to perform unit testing and functionality testing.

Create page layouts, search layouts, compact layouts, and field security to organize and customize fields, related lists, components on record detail.

Provide customized data visualization using reports, dashboards and report folders.

Main objective is to overcome manual errors and make a computerized system.

Manage appointments, job cards, spare parts, track statuses, make payments, etc.

Spring MVC/.NET framework and Oracle database (Hibernate).

One solution to manage all, from appointment to payment.

Engage on best practices and achieve average Test Coverage of more than 90% and maintain the same for deployment.

Various modules for functionalities including regular CRUD operations.

Implementation for roles such as customer, administrator, mechanic and cashier.

Project focused on how Twitter data can be used for analysing the travel behaviour of users.

Implement functionalities that helps users in transport planning, management and operation purposes.

Track tourists around the city with the help of Twitter posts.

Use Python to mine data from Twitter at runtime and RStudio to analyse the collected data and display results accordingly.

Analysis included location, types of devices used to tweet and sentimental analysis of tweets.

Developed an android multiplayer game using Unity Engine and C#.

Published on Google Play Store.

Achieved in collaboration with a team of 8 people from accross the globe.

Design UI, special effects, animations and physics aspects to add more immersion to the game.