Top Algorithms for Performance and Efficiency

We are all proud of being the best coders, but have we analyzed our code for optimization? What tools can help us guide toward creating algorithms with better time and space complexity?

How you approach a problem is critical. How do you solve the problem? How do you optimize the problem?

This talk will not only prepare you for the interviews but will also give confidence on how to crack the coding challenges.

In this talk, we will be exploring analytical skills and coding skills of the top algorithms and common problems from the real-world, including

  • Single Source Shortest Paths

  • Traveling Salesman problems

  • Pattern Search Algorithms

  • Greedy Algorithms

  • KnapSack problem

  • Priority queue

Problem-solving skills are valuable and help develop optimal algorithms. We will look at problem-solving flow charts to make the right decisions for a given problem.

Topics we will cover are:

  • Arrays and Strings - Palindrome permutations

  • Linked Lists - Runner technique, Recursions

  • Stacks and queues

  • Trees and Graphs - Binary Tree, Binary Search Tree, Tries

  • Sorting and Searching

  • Single-Source Shortest Paths: Bellman-Ford, BFS, DFS, Dijkstra, Dynamic Programming

This talk is ideal for the following roles:

  • Architects

  • Technical Leads

  • Programers

  • Integration Architects

  • Solution Architects


Rohit Bhardwaj

About Rohit Bhardwaj

Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.

Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.

Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)

Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/ 

Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.

As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.

Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.

Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1

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