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Thu, April 23BackEndTechLead DeepTech
Coding interviews and production systems share a common challenge: turning vague problems into correct, efficient, and explainable solutions. This session presents a seven step algorithmic thinking framework that starts with a brute force baseline and evolves into an optimized, production ready solution. The approach applies to array and graph problems, data pipeline optimization, and refactoring legacy logic. The session also shows how to use AI assistants such as ChatGPT and GitHub Copilot to support ideation, edge case discovery, and documentation, while maintaining disciplined reasoning and correctness. The focus is on clarity before optimization, with AI used as a thinking partner rather than a shortcut.
What You will Learn
How to apply a repeatable seven step framework that moves from brute force correctness to efficient solutions
How to reason about time and space complexity and choose between patterns such as greedy, dynamic programming, iterative, and recursive approaches
How to use AI tools responsibly for ideation, validation, and refactoring without compromising rigor
Who Should Attend
Software Developers preparing for interviews or working on production code
Engineers working with algorithms, data pipelines, or complex business logic
Technical Leads who review code and assess trade offs
Developers at early to mid career stages who want a structured problem solving approach
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Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
