In this ScalerPod episode, Vishwastam Shukla, CTO of HackerEarth, shared insights from his Amazon internship and the hands-on engineering experience it provided, including building projects and learning about coding languages like Ruby, PHP, and JAVA. He discussed Amazon's backend, its growth, and the role of Service-Oriented Architecture (SOA) in developing its e-commerce platform. Vishwastam also elaborated on the scaling challenges at HackerEarth, including managing 40 languages, the compilers, and the complexities of autocomplete and Language Server Protocols (LSPs). He also covered the technical aspects of plagiarism detection for large user bases, concurrency management, and infrastructure scaling. Additionally, he highlighted the tech stack used to address engineering challenges and the role of AI in code complexity analysis and quality checks. He also compared Devin AI with ChatGPT for code writing. He emphasized the importance of data structures, algorithms, and various skills sought by recruiters for young engineers. Viewers and aspiring software engineers might be interested in knowing how such organizations hire and the skills they focus on while reflecting HackerEarth's commitment to innovation and software development for engineers.

In this ScalerPod episode, Sidhant Rastogi, President of Tech and Business Strategy at Zinnov, shared valuable experiences and insights on work ethics, automotive testing, experience with PLM software and Machine Design that he gained from working with Toyota and Tata Motors. He also discussed his journey and transition from a Mechanical Engineer to Management Tech Consulting. These experiences highlighted the importance of customer satisfaction and led him to realise the value of consulting at Zinnov. He dived deeper into how Zinnov focuses on growing the engineering community, promoting the India Engineering Ecosystem, and prioritizing "Grey Hair Consulting", which leverages extensive subject matter experience. They provide insights for product establishment, set up engineering centres in India, and offer investment advice. Sidhanth also discussed post-COVID tech trends, including cloud data resilience and digital adoption, emphasizing the need for engineers to upskill. He also addressed India's potential in manufacturing, challenges in semiconductor production, and the coalition of manufacturing and services over decades. Additionally, he explored the adoption of GenAI tools like CoPilot, amongst many others, in Software Engineering, the skills needed for Engineers amidst such technologically disruptive waves, the scope for Startups, differentiating between LLM and SLM in AI for business problem-solving, etc. Viewers and aspiring Software Engineers might be interested in knowing how such organizations hire and the skills they focus on while reflecting Zinnov's commitment to innovation and customer satisfaction. Here is the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 0:00 - Trailer 1:16 - Introduction 3:06 - Experience of Working at Toyota 12:09 - Shift from Automotives to Software Engineering 17:17 - The MBA Journey 20:50 - How did Zinnov happen for Sidhant 26:26 - Role of Consulting for Tech Companies 33:40 - Setting up Engineering Centres in India 46:38 - India's position in Machinery and Technology space 54:50 - Adoption of GenAI in Software Engineering 1:05:54 - The Gaps and Opportunities for Startups 1:16:25 - What do large companies look for while acquiring startups 1:19:44 - Conclusion

In this Scaler Pod episode, Santhosh Kumar discusses the evolution of Cult and how it built upon health and fitness as an industry. Amidst challenges like the COVID-19 pandemic, digital transformation became pivotal. Cult adopted React Native for cross-platform efficiency between Android and IOS and underwent a design overhaul named Arora. He dived deep into how they integrated Flutter for an enhanced user experience and were transitioning to Java as their primary coding language. He also shared more on how the teams navigated backend and frontend scalability issues transitioning to Java. Lastly, he has emphasised the synergy between operations & technology, creating customer-centric products through predictive analytics. Viewers and aspiring Software Engineers might be interested in knowing how such organisations hire and the skills they focus on while reflecting Cult's commitment to innovation and customer satisfaction. Here is the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 0:00 - Trailer 1:27 - Introduction 3:45 - Beginning of the journey with Cult 9:43 - Tech Evolution of Cult 13:57 - Transition from being an Engineer to a Product Manager 15:37 - How did Cult go Digital during the Pandemic 23:43 - Challenges while transitioning from Tech to Product career 29:44 - Factors that accelerated Cult's growth rate 38:35 - Managing departments in a Startup 43:30 - Tech decisions at Cult 50:48 - Advantages of Flutter over React Native 56:04 - Managing peak users overflow on the app 1:01:02 - What are the tech needs of an Ops-Heavy Business 1:08:41 - Strategies for Predictive Analytics 1:17:44 - Tech Hiring at Cult 1:22:18 - Cult's Organisational Structure & Culture 1:41:05 - Managining Information and People at an Organisation 1:46:44 - How do you keep the Company Culture intact? 1:49:26 - The three phases of Cult's Journey 1:53:20 - What is the future of fitness industry? 2:02:25 - Enhancing efficiency and experience using AI and Conclusion

In this episode of Scaler Pod, the CXO and Sr. VP of Technology at Simpl delve deeper into how checkout solutions like Simpl offer postpaid services, improving consumer experience and building trust through distributed internet-based ledgers. They discuss how advanced Data Science Models and heuristic-based Analytics are employed to assess and manage risks and identify fraudulent transactions. Arnav and the guests discuss how the tech stack for Simpl includes deep machine-learning models and real-time processing, facilitating smooth software touchpoints. They also discussed the tech behind how Simpl is a “Khata facility” on the internet, in collaboration with other e-commerce platforms like Zomato, Swiggy, Blinkit, Zepto, MakeMyTrip, Myntra, JioMart, etc. With their vast experience in engineering and core tech over the years, the guests also shed light on the importance of deep tech knowledge, Large Language Models (LLMs), problem-solving skills and an engineering mindset to thrive. This podcast will be very insightful for anyone enthusiastic about Data Science, Cloud Computing, the Fintech industry, and much more. Here is the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 0:00 - Trailer 1:27 - Introduction 2:29 - Personal and professional journey of the guests 8:35 - Technology Development Now Vs Before 14:45 - Approach towards India-specific Problems 20:30 - Fraud control measures at Simpl 25:33 - The credit purchase mindset of users 34:32 - Data Science models for assessing risk 45:15 - Building the tech team at Simpl 55:55 - How does working in the US tech market add to skills 1:06:14 - Culture at Simpl 1:10:22 - Advice for engineers to move to product management 1:23:29 - The importance of staying close to practical application 1:31:00 - How MBA helped Vivek in his journey 1:38:20 - Managing and investing in startups

Global Head of Data & AI at Brillio, Muthumari S, discusses generative AI, prompt engineering, and RAGs in NLP. Exploring problem-solving with AI, human intelligence, and risks of generative models. Insights on technology adaptation, AI usage, and problem solving. Valuable advice for future data science learners.

In this episode of Scaler Pod, we dive into the world of data-driven innovation with Ram Bhavaraju, VP of Software and Web Technologies at Ather Energy. Ram sheds light on the intricate process of leveraging data to refine electric scooters, crafting personalised metrics that enhance the Ather experience. Arnav and Ram discuss how real-time processing is used in Ather’s interface, which helps provide information about the EV and helps an Ather rider get a smooth riding experience. From Managed Services to Kafka and Cloud Storage, he talks about the array of technologies working behind the scenes to elevate Ather's performance.This podcast will be very insightful for anyone enthusiastic about Data Science, Cloud Computing, IoT and much more. Here are the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 00:00 - Trailer 00:40 - Introduction 01:58 - Work week of a VP Software & Web Tech at Ather Energy 07:20 - How has been the tech journey so far? 13:45 - How do you see your career transitions? 19:58 - What is the Landscape of Software at Ather? 24:13 - What makes the Software of Ather not a friction to it's customers? 31:59 - How did you crack the navigation through the software? 40:19 - How data from the EV devices is helping Ather? 44:45 - How the data architecture looks like? 47:57 - What does it cost Ather to run the whole setup? 55:06 - How to Ather address the data security concerns? 57:17 - How does the mobile app to device ecosystem works? 01:02:20 - How do your ensure that the software update deliver customer satisfaction? 01:07:39 - How do control systems work in Ather Vehicles? 01:10:01 - What is the secruity aspect from the hacking point of view? 01:13:40 - How does the user relation and community works at Ather? 01:21:38 - How the future of EV scooters look like? 01:30:22 - What is the scope of AI in improving these systems?

In this episode of ScalerPod, Ramkumar Venkatesan, the CTO of @Cashfree Payments. From his days at Oracle and Yahoo to revolutionizing transactions at Cashfree, Ramkumar shares insights on auto-scaling, managing Kubernetes clusters, resource handling using Docker, and tackling latency issues in the Cashfree app. Discover how Cashfree handles billions of transactions flawlessly while exploring their range of products and the tech behind this fintech app. Get valuable advice for young engineers navigating today's tech landscape. To know more about the Scaler. Check out our free masterclasses by industry-leading experts here: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_ramkumar-venkatesan-scalerpod-episode23&utm_content=YTDescription Here are the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 00:00 - Trailer 00:57 - Introduction 01:35 - Work week of a CTO of Cashfree 05:53 - How often do you review the system architecture design? 09:00 - How has been the tech journey so far? 16:37 - What all does Cashfree do? 20:31 - What all payment gateways are doing? 28:34 - What are the challenges with identity verfication? 35:44 - How is the testing landscape of Cashfree look like? 43:50 - How do we get to the actual production level testing? 48:38 - What happens at the War Room in Cashfree? 52:10 - What are the extra challenges in developing things? 01:03:49 - What will be your general advice to the people who are the learning phase? 01:12:10 - What are some of the things that a software engineer should do? 01:21:05 - How AI is affecting the Fintech?

In this episode of Scaler Pod, we have Joydeep Sen Sarma, Co-founder & CEO of ClearFeed. From achieving an exceptional all-India rank of 18 in the rigorous IIT-JEE exams to reshaping the tech landscape with his pioneering work on consistent database systems, Joydeep's journey showcases his strong determination. As a Data Infrastructure Lead at Facebook, he collaborated with colleague Ashish Thusoo to develop the groundbreaking Hive data warehouse software which is now also called Apache Hive. Their joint success propelled them to co-found Qubole, a state-of-the-art platform in data analytics. Later Joydeep started ClearFeed in the year 2021.ClearFeed is a software program that helps businesses manage customer support requests on Slack. It uses AI to track inquiries, identify urgent issues, and measure how the queries are getting resolved internally. ClearFeed helps businesses provide better customer support by streamlining communication and offering valuable data on Slack. In this episode of Scaler Pod, Arnav Gupta, Anshuman Singh and ClearFeed CoFounderJoydeep Sen Sharma discuss their Facebook days where Joydeep talks about his #createimpact journey when Facebook was relatively immature and was one of the first engineers on the data team. Arnav also discusses about how database sharding works for managing database infrastructure. Joydeep also discusses about working with major taxi companies like Grab, Lyft, and Ola as customers for Qubole. Here are the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 00:00 - Trailer 02:00 - Introduction 02:33 - Joydeep's Journey 07:42 - Facebook Days of Anshuman Singh 09:35 - Story behind how Facebook Messenger was Built? 21:45 - How Qubole was started? 24:42 - Cloud computing and Big Data weren't taken seriously initially. 29:00 - Data Analytics & Cloud Computing: What's the correlation? 31:35 - What went wrong with Qubole? 34:09 - Challenges working with Open Source softwares. 39:24 - How large tech companies are created? 45:46 - What worked for Facebook? 46:56 - How Qubole team was built? 01:02:06 - Should you study abroad (USA) for tech education? 01:13:30 - Clearfeed's AI Integration & Working Principle 01:19:56 - Thoughts on AI Replacing Engineer's Work 01:31:22 - Thoughts on AI Replacing Jobs 01:34:23 - Need for Quality Engineers for the upcoming years in the tech industry 01:44:49 - Conclusion

In this episode of Scaler Pod, we have Jyotiswarup Pai Raiturkar, Chief Architect & CTO of Angel One  @angelone  Jyotiswarup Pai Raiturkar has more than 20 years of experience building high-scale mission-critical systems. In his current role as Chief Architect and Chief Technical Officer at Angel One, his day-to-day job is to manage scale, do Root Cause Analysis, craft new features with the product and engineering team, and much more. In this insightful podcast, Jyotiswarup discusses the tech stack behind Angel One broking and what goes on behind the scenes in handling 20 Million + Users. He also discusses choices for the backend and frontend systems - including Golang, which fuel this robust platform's ability to handle multiple operations concurrently. Timestamps 00:00 - Introduction 01:53 - How does the work week of Angel one CTO, looks like ? 03:42 - How's the Tech Journey so far ? 09:40 - Finance product from the lens of commerce 19:20 - What Tech goes behind Angel one? 44:44 - Talking more about Golang 51:34 - Experience of building a tech team 55:38 - What does the infrastructure model work in Angel one? 01:01:47 - What are the Playbooks that are used to handle failures? 01:08:01 - What do you look for in the right candidate? 01:23:25 - How the tech market looks now?

Amit Sharma, CTO of Dream11, shares insights on building 200M+ distributed systems, transitioning to React Native, and overcoming challenges at Dream11 and Netflix. Topics include scaling for IPL events, team building strategies, and the impact of performance optimization on user experience.