Hemanth Vuppalapati

CEO

Hyderabad, Telangana, India17 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a high-performing team at Apple Maps.
  • Achieved operational efficiency gains of over 60%.
  • Expert in Big Data, AI, and Machine Learning.
Stackforce AI infers this person is a Big Data and AI expert with strong leadership in technology-driven projects.

Contact

Skills

Core Skills

LeadershipStrategic PlanningProduct ManagementTechnical EngineeringProduct DevelopmentMachine LearningBig DataProblem Solving

Other Skills

Talent ManagementKey Performance IndicatorsProject ManagementTeam LeadershipCross-functional CollaborationsProcess EfficiencyTeam ManagementDesign ReviewPerformance EngineeringTechnical DesignSystem DevelopmentAIMLData MigrationRequirements AnalysisSoftware Lifecycle

About

As an expert in Big Data, Artificial Intelligence, and Machine Learning, I’ve spent more than 15 years in the IT industry. Today I’m a Senior Software Engineering Manager at Apple where I lead a team of talented experts who are currently driving operational efficiencies in the creation of Apple Maps. Beyond the technical aspects involved in this role, I also provide the strategic vision and leadership qualities needed to deliver successful results. Using the "Two in a Box" leadership model and transitioning to full ownership of the engineering function, I have nurtured a team that is high-performing, adaptable, and resilient. Together we have delivered map data for more than 30 countries and achieved operational efficiency gains of over 60% through groundbreaking ideas and cross-functional collaboration. In conjunction with my leadership skills, I have extensive experience working with multinational companies and global capability centers, helping them to build and develop teams in India. Having worked closely with numerous teams from countries like the UK, Sweden, and the USA, I have gained an in-depth understanding of the varied cultures and management styles involved. My career can best be defined by a continual pursuit of innovation. Benefitting from a growth mindset, I’m a strategic thinker who embraces challenges, learns from feedback, and continuously seeks development opportunities. From my early roles at NetApp and Flipkart, where I actively pursued complex projects and groundbreaking solutions, to my current position at Apple, I aim to push boundaries and deliver new solutions. My decision to enroll in the PGPMAX program at the Indian School of Business highlights my focus on lifelong learning. I hold a Bachelor of Engineering in Computer Science from RV College of Engineering and am highly proficient in a number of programming languages including JAVA and SCALA. Aside from my passion for innovation and learning, I thrive on the positive societal impact that I am able to contribute. At Apple my work helps millions of people travel more efficiently, while at Flipkart, I contributed to a platform that brought convenience to countless shoppers. My expertise in emerging technologies coupled with my ability to quickly analyze and solve problems has seen my career—and the satisfaction I gain from its wider impact—grow in leaps and bounds.

Experience

17 yrs 6 mos
Total Experience
5 yrs 10 mos
Average Tenure
8 yrs 9 mos
Current Experience

Apple

3 roles

Senior Software Engineering Manager

Promoted

Oct 2022Present · 3 yrs 6 mos · On-site

  • ● Lead strategic growth and innovation for Apple Maps, focusing on global operational efficiencies
  • ● Manage a team of 5 full-time employees and 22 contractors to handle larger, more complex projects
  • ● Spearhead the Maps build engineering program from India, driving process improvements and automation
  • ● Build strong cross-regional relationships for effective project delivery
  • ● Oversee the recruitment of big data, data science, and data engineers (having hired and worked with more than 50 contractors to date)
  • ● Responsible for talent management and motivation through growth and development initiatives
  • ● Heavily involved in the coaching of team members to achieve their career objectives, resulting in 3 promotions over the past 5 years: one to senior engineer, one to Tech Lead, and another to Technical Architect
Talent ManagementKey Performance IndicatorsLeadershipStrategic Planning

Software Development Manager

Apr 2019Sep 2022 · 3 yrs 5 mos · On-site

  • ● Responsibilities grew to include support for building multiple layers for Roadmap countries, such as Addressing, Naming, and Water layers
  • ● Scaled the Maps Data Engineering team, enhancing support for production operations and process efficiency
  • ● Led initiatives to automate build processes, increasing productivity and reducing costs
  • ● Provided quick turnaround support for job failures, significantly improving editor productivity
  • ● Mentored junior engineers, nurturing their technical growth and readiness for greater responsibilities
Talent ManagementKey Performance IndicatorsLeadershipProduct Management

Senior Software Development Engineer

Jun 2017Apr 2019 · 1 yr 10 mos · On-site

  • ● Joined as part of the Maps Data Engineering team, focusing on developing engineering jobs for the drive coding layer in Roadmap countries
  • ● Took ownership of critical functions, including Speeds, Signs, and Turn restrictions within the Drive coding layer
  • ● Managed vendor resources to deliver the US drive coding layer efficiently amidst a shortage of full-time employees
  • ● Played a key role in building additional layers for Roadmap countries, such as Addressing, Naming, and Water layers
Design ReviewPerformance EngineeringTechnical EngineeringProduct Development

Flipkart

Software Development Engineer II (Grade 10)

May 2012May 2017 · 5 yrs · Bangalore · On-site

  • ● Led the delivery of a near real-time event processing system (<300 ms) to find links among various entities. Handled peak loads of 1 million events per day, creating 40 million unique links. Identified and prevented frauds worth 3 crore INR per month
  • ● Productized an in-house iterative machine-learning algorithm at scale. Processed events totaling 500TB of data to produce a 40TB output in 14 hours using 50 machines. Improved personalization and increased conversions by 50 basis points
  • ● Implemented changes across the Big Data System stack, including JVM tuning, HBase, HDFS disk formats, Bloom filters, and architecture improvements
  • ● Enhanced cluster utilization, reducing the number of machines by 20% (24 machines) without performance degradation
  • ● Managed the migration of a system handling 600TB of data in HBase to a new data center with zero downtime. Prevented a potential crash due to capacity issues at the old data center ahead of a major sale
  • ● Developed a service to consume changed products and offer data, making it available for downstream consumption. Ensured service was secure, tamper-proof, horizontally scalable, and had rate-limiting capabilities. API responded within 10 milliseconds, handling loads of 20,000 requests per second. Enabled partners to drive business worth 50 crore INR per month.
Design ReviewAIMLMachine LearningBig Data

Netapp

Sustaining Engineer II

Aug 2008May 2012 · 3 yrs 9 mos · bangalore · On-site

  • ● Developed a Bug Signature Analyzer to automatically identify bugs in Data ONTAP (NetApp's OS) core files using PERL
  • ● Conceptualized and developed automation to localize the problem space for NetApp's file system crashes using PERL
  • ● Provided root cause analysis for various software defects in Data ONTAP, utilizing C programming
  • ● Performed kernel debugging for NetApp's Operating System, Data ONTAP, using C and GDB
  • ● Filed an internal patent for a "decision tree-based architecture to localize the problem space for debugging purposes"
  • ● Conducted research on crash messages, call stack analyzers, and automatic crash dump analyzers
Requirements AnalysisSoftware LifecycleTechnical EngineeringProblem Solving

Education

Indian School of Business

PGPMAX

Aug 2023Nov 2024

RV College Of Engineering

Bachelor of Engineering - BE — Computer Science

Oct 2004Jun 2008

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