Satyanandam Kotha

Senior Software Engineer

Seattle, WA, USA16 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led high-impact projects at Uber Maps.
Spearheaded large-scale migrations at Amazon.
Expert in AI and machine learning solutions.

Stackforce AI infers this person is a Backend-heavy Software Engineer with expertise in E-commerce and Transportation industries.

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Skills

Core Skills

AiMlLocation IntelligenceCloud ComputingSoftware DevelopmentMachine Learning

Other Skills

A/B TestingAWSAgile MethodologiesBackend DevelopmentCC++DB2Dashboard DevelopmentData AnalysisData VisualizationDatabase ManagementDatabasesDatastageETLGPS Optimization

About

I am a results-driven Staff Software Engineer and Technical Lead with extensive experience in AI, ML, large-scale distributed systems, and cloud computing. Currently leading key initiatives at Uber Maps, I specialize in map matching algorithms, location intelligence, and GPS optimization, enhancing Uber’s platform capabilities across 100+ use cases. Previously, I played a pivotal role at Amazon, leading large-scale migrations, building personalization and recommendation systems, and optimizing seller onboarding experiences. With expertise in AWS, machine learning, and backend architecture, I thrive at solving complex technical challenges while mentoring engineers and fostering innovation. Beyond work, I am passionate about knowledge sharing, participating in technical forums, hackathons, and mentoring developers to drive engineering excellence. Always eager to explore emerging technologies, I continuously push the boundaries of what’s possible in software development.

Experience

Uber

Staff Software Engineer

Apr 2022 – Present · 3 yrs 11 mos · Seattle, Washington, United States

Technical Lead, Uber Maps Team
Key Contributions:
Spearheaded multiple high-impact projects, including Map Matching, Location, Fare Evaluations, Matching, and Trip Context, to enhance Uber's platform capabilities.
Technical Achievements:
Designed and optimized map matching algorithms, converting raw GPS data into accurate road-segmented locations and reducing GPS noise.
Improved forward matchability value models, optimizing driver-rider pairings based on historical data for enhanced efficiency and trip experience.
Developed models and route-planning solutions for seamless Waymo ride bookings within the Uber app.
Built a comprehensive location quality dashboard, providing visibility into user location accuracy and informing key decisions across multiple teams.
Collaboration and Impact:
Collaborated with developers, cross-functional teams, program managers, and scientists on high-impact initiatives across Uber Maps.
Contributed to 100+ use cases, enhancing fare calculations, driver-rider matching, and overall user experience.

Map MatchingLocation IntelligenceGPS OptimizationCloud ComputingAIML

Amazon

3 roles

Senior Software Development Engineer

Sep 2020 – Apr 2022 · 1 yr 7 mos

Part of the Amazon Vine Team, managing a large-scale program designed to help customers make informed purchasing decisions by providing authentic, high-quality reviews from trusted reviewers.
Key Responsibilities:
Led a two-year migration project from design to development and launch, overseeing a team of 10 developers.
Ensured project met critical hard deadlines by devising a structured execution plan, identifying bottlenecks early, and optimizing development workflows.
Spearheaded the move to AWS, driving the migration of legacy systems to scalable, cloud-native solutions.
Worked closely with business teams to align technical strategies with program goals.
Focused on operational improvements, streamlining processes to enhance system performance, reduce downtime, and increase automation.
Collaborated with support agents across different teams to address challenges and provide solutions.
Achievements:
Improved system reliability, reduced operational overhead, and enhanced service efficiency.
Ensured seamless integration of business requirements.
Developed training materials for support agents, enhancing their ability to manage and resolve customer and vendor issues effectively.
Technical Scope:
Owned five user interfaces and eight backend services that support the program’s operations.
Managed asynchronous workflows for seamless review processing.

AWSMigrationPersonalization SystemsOperational ImprovementsCloud ComputingSoftware Development

Software Development Engineer II

Promoted

Sep 2015 – Sep 2020 · 5 yrs

Personalization Team Contributions
Key Responsibilities:
Contributed to building a recommendation platform for Amazon subsidiaries to enhance customer experience.
Conducted experiments and launched personalized recommendations across Amazon and its subsidiaries.
Technical Achievements:
Built and deployed contextualized recommendations, leveraging real-time user behavior, marketplace trends, and seasonal factors.
Developed platforms to optimize Cross-Marketplace and Seasonal strategies, enabling better targeting and more relevant recommendations.
Leadership and Collaboration:
Served as an Experimentation Bar Raiser, mentoring teams on best practices and improving A/B testing methodologies.
Led and collaborated with engineers and data scientists to refine personalization models and scale recommendation systems.
Organized and participated in hackathons with subsidiaries, fostering innovation and shaping the personalization roadmap.
Impact:
Improved engagement and conversion through personalized recommendations.
Ensured high-quality experimentation across personalization initiatives.

Recommendation SystemsPersonalizationA/B TestingMachine LearningSoftware Development

Software Development Engineer

Oct 2013 – Sep 2015 · 1 yr 11 mos

Seller Registration Team Contributions
Key Achievements:
Improved the overall seller onboarding experience, streamlining the process for new sellers.
Designed and developed Launch Navigator, a tool guiding sellers through initial setup, product listing, and approval processes.
Technical Leadership:
Led a team of two engineers (frontend and backend) to develop and implement Launch Navigator.
Ensured seamless functionality and intuitive user experience.
Collaboration and Impact:
Collaborated with product, engineering, and compliance teams to refine and optimize the seller experience.
Leveraged data insights to identify bottlenecks, implementing solutions that improved seller activation rates.
Results:
Enhanced seller onboarding experience.
Improved compliance with Amazon's policies.
Increased seller activation rates.

Seller OnboardingUser Experience DesignSoftware Development

Ibm india software lab

Software Engineer

May 2009 – Oct 2013 · 4 yrs 5 mos

Application Development Team, Information Analyzer, IBM InfoSphere Information Server
Key Contributions:
Contributed to the Understand stage of IBM InfoSphere Information Server, enabling businesses to analyze data structure, content, and quality.
Developed and maintained backend components using Java, handling databases such as DB2, Oracle, SQL Server, Informix, and PostgreSQL.
Technical Expertise:
Proficient in multiple operating systems: Windows, AIX, Linux, and Solaris.
Ensured seamless support for diverse enterprise environments.
Strengths:
Strong business process understanding.
Adherence to software quality standards.
Role Overview:
Collaborated with cross-functional teams to deliver high-quality software solutions.
Gained experience in the IT industry, with a focus on data analysis and software development.