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GHC Student Opportunity Lab handout
 

GHC Student Opportunity Lab handout

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How to get noticed and excel at technical interviews

How to get noticed and excel at technical interviews

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    GHC Student Opportunity Lab handout GHC Student Opportunity Lab handout Document Transcript

    • Student Opportunity Lab: LinkedIn Engineering Session Title: How to get noticed and excel at technical interviews Prachi Gupta Engineering Manager, [in]cubator Co­founder http://www.linkedin.com/in/prachigupta Twitter: @prchg Email: pgupta@linkedin.com Neha Narkhede Principal Engineer & Open source contributor http://www.linkedin.com/in/nehanarkhede Twitter: @nehanarkhede Email: nnarkhede@linkedin.com Abstract Join Engineering Manager, Prachi Gupta and Principal Engineer, Neha Narkhede for an interactive session of                            personalized advice on technical interview techniques, resume writing skills and gaining extra­curricular                      experience that makes you stand out. Presenter Biographies Prachi Gupta Prachi is a hackday master, and co­founder LinkedIn’s [in]cubator program. She leads engineering teams for                            the Identity Engagement product suite at LinkedIn. Most recently, she led the development of LinkedIn                            endorsements, the fastest growing product in LinkedIn’s history. She is also an experienced hiring manager                            actively involved in the hiring process for both new college graduates and experienced engineers at LinkedIn. An entrepreneurial software engineer at heart, she loves to conceptualize, design and deliver impactful                          software and travels around the US/world to organize LinkedIn hackathons and meet with global                          entrepreneurs. As an active contributor to the US State Department's TechWomen program, she has mentored program                            participants and brought back program observations home to co­found LinkedIn's Women in Technology                        initiative. Prachi holds a Masters in computer science, and has significant experience in working with startups to                              explore innovative solutions to real world problems; from socially driven consumer websites to enterprise                          business intelligence & analytics software. Neha Narkhede Neha Narkhede is a principal engineer leading development of LinkedIn’s data pipeline serving billions of                            events per day. Neha is an active contributor to the open source community and is one of the original authors of Apache                                   
    • Kafka, a highly scalable distributed publish­subscribe system used heavily at LinkedIn and across the                          industry. She actively evangelizes Kafka through various conferences and meetups; resulting in its adoption                          by industry leaders like Twitter, Netflix, Dish Network among others. Prior to that, she developed Oracle                              Enterprise Search at Oracle. Neha is passionate about encouraging and helping women build careers in technology and has served on the                                panel of LinkedIn’s Bay Area Girl Geek Dinner. Neha holds a Masters in Computer Science from Georgia Tech and is passionate about building and scaling                                operable large­scale data systems. Specialties: Distributed systems, big data, information retrieval Details: Resources for preparing for technical interviews ● Introduction to Algorithms by CLR, book and videos ● Cracking the Technical Interview, Gayle Laakmann McDowell ● Programming Pearls, by John Bentley ● geeksforgeek.org ● Leetcode.com ● projecteuler.net ● Stanford notes on linked lists ● Notes by MIT on Dynamic Programming ● Programming interviews exposed by John Mongan, Noah Kindler, Eric Giguere Practice is not overrated ● Come up with designs for existing problems faced by companies in the area that you want to work in. For example, how would you design LinkedIn’s PYMK feature, how would you design a Newsfeed feature etc. ● Start by writing code for some of the example problems listed at the resources mentioned above. It is often easier to start by writing code that compiles and passes tests before practicing on the whiteboard. ● After some reasonable practice on a computer, make sure you practice solving interview puzzles on a whiteboard/piece of paper. ● Practice walking through a problem. How you get to the solution is just as important as finding the right answer. ● Talk to your interviewer so they can see your thought process. Silently eliminating approaches in your mind looks exactly the same as looking clueless to the interviewer.
    • Dealing with pressure tactics ● Applying pressure tactics is just an interviewing style ● Try to focus on “what’s being said”, and ignore “how’s it’s being said” Build your personal brand ● Open source your work or contribute to existing open source projects. Github is a good place to start. If you already are active in the open source community, add your github account to your LinkedIn profile. Open source contribution is very effective in conveying your coding skills to your potential employer and interviewers. ● Maintain your personal blog and post your thoughts on new technologies you learnt, synopsis of research papers, or just post a quickstart on how to get started on a new tool. Depending on your strengths, blogging can be a very effective way of getting your future employers and peers to notice your technical depth