Don't forget to communicate early and often with your team about your workload. Adjusting priorities together can help avoid last-minute crunch. Also, practice time-blocking—dedicate focused hours to deep work, and set aside moments for lighter tasks. This helps prevent decision fatigue and allows you to maintain a steady pace throughout the project.

* Prioritize Tasks: Identify High-Impact Optimizations: Focus on areas that will yield significant performance improvements. Divide complex optimization problems into smaller, more manageable subtasks. * Set Realistic Goals: Establish achievable targets to avoid feeling overwhelmed. * Engage with the developer community to share knowledge and seek advice. Explore different approaches and learn from both successes and failures. * Take short breaks throughout the day to rest and recharge. * Prioritize sleep, nutrition, and exercise to maintain physical and mental well-being. Self care is must. * Keep your team informed about progress and potential challenges. * Don't hesitate to ask for help from colleagues or mentors.

To avoid burnout while optimize algorithms, we can follow the following points - 1. Spend some initial time to get the clarity on how we can optimise the algorithms. 2. Break down the bigger tasks into smaller tasks such that it can be done in parallel. 3. Keep the functionality running while optimising the algorithms such that it can be deliverable on time. 4. If you think whole optimisation will take more time than communicate this early to higher management. 5. First deliver the project with 70 or 80 percent optimisation if the project deadline is short, then communicate that in the next release we will optimise it more in next releases.

Early communication to understand the things. We are breaking down the tasks to make things more straightforward. I am further prioritizing the tasks.

Burnout is natural and at times can happen faster when the task is more technical in nature. What I have found helpful is to have specific goals in the optimizations. During examination and implementation it's easy to pile on other "great" changes, but they end up creating scope creep and make testing/certification take longer. Targeted changes keep scope tight and testing faster. When the change is a long process, it's good to have a side passion project that keeps the motivation high while having to fight the larger fight. Take breaks and keep your mind fresh. Great team members can be a massive difference between burnout and continuing to thrive as well. Between pulling you out of your own head and sanity sound boarding. They help!

Optimizing algorithms is not just a technical challenge; it also requires a strategic approach to manage the cognitive load on developers. As the complexity of algorithms increases, so does the risk of burnout, especially in high-stakes environments like media and technology. Implementing practices such as iterative testing, collaborative problem-solving, and continuous learning can help maintain productivity while fostering a healthy work-life balance. Additionally, leveraging emerging technologies like AI can automate routine tasks, allowing teams to focus on innovative solutions and strategic thinking, ultimately enhancing both performance and well-being in the workplace.

In my vision, the main reasons for burnout include an overwhelming workload that is underestimated and a sustained sense of high responsibility over a prolonged period. So, to prevent burnout, we need to: 1. Set realistic workloads. 2. Maintain work-life balance and avoid excessive overtime. 3. Encourage delegation and collaboration. 4. Build an open communication so everyone could comfortable discuss challenges or ask for support before stress levels become unmanageable. Unfortunately, burnouts happen and it is always important to have a backup recovery plan, which should include long-term rest with a focus on sleep and other life activities that help you relax.

Some of the techniques i recommend while tackling project timelines and also maintaining well being are: - breaking down tasks into smaller tasks, preventing the feeling of overwhelm. - reflection at the end of the day of what has been achieved and how to prioritize more effectively. - if stuck discussing with colleagues to find quick solutions rather than burning time. - disconnection from work at the end of the day to recharge mentally.

In my opinion, while optimizing we should be aware of all the use cases and if we are aware of that then I will be easy to break down the task in smaller stories so that we can upfront estimate the resources and time. Hence we will be able to complete the task within the deadline without much stretching.