Harshit Sureka
Software Engineer III @ Google
About
👋 Hi, I’m Harshit, a Software Engineer at Google with over two years of experience building impactful products and solving complex problems. At Google, I’ve had the opportunity to work on diverse and challenging projects spanning backend development and machine learning. My key contributions include designing and implementing a configurable workflow approval service used across multiple internal products, which significantly improved scalability and streamlined processes. I solved a major technical challenge by developing and deploying a highly accurate, low-latency speaker recognition model for Meet transcripts, impacting over 50 million active user sessions. Additionally, I drove innovation by integrating Large Language Models (LLMs) into our Quality Assurance process and enhanced data security through improvements to our PII redaction systems, successfully processing and securing over half a million pieces of sensitive data daily. I’m proficient in Java, Kotlin, and Python, and have hands-on experience with Google Cloud Spanner and various machine learning frameworks. I hold a Bachelor’s degree in Computer Science and Engineering from IIT Guwahati, where I graduated with a CGPA of 9.12/10, reflecting my commitment to learning and excellence. Driven by curiosity and a passion for solving meaningful problems, I’m always eager to explore new technologies, take on challenges, and make a lasting impact through my work. Let’s connect!
India
Greater Bengaluru Area
Primary/Secondary Education
Software Design, Kotlin, React.js, AngularDart, Algorithms, LaTeX, Node.js, Programming, C++, Python (Programming Language), Java, Cascading Style Sheets (CSS), HTML5, JScript, Bootstrap, Competitive Programming, Data Structures, Web Development
Experience

Software Engineer II
◦ Solved a major technical problem by developing a deterministic speaker recognition model for the real-time communication platform, successfully deployed across 50 million active user sessions. ◦ Integrated Large Language Models (LLMs) into Quality Assurance by designing structured reasoning prompts and building a new service to centralize quality assessment, driving a marked increase in analysis accuracy. ◦ Led platform migration of internal notification systems to a new self-service platform, providing business teams with direct control over communication settings, which cut engineering support and accelerated update deployment. ◦ Drove substantial improvements in PII redaction systems to boost data privacy compliance, processing and securing 500k+ sensitive data points daily.

Software Engineering Intern
◦ Contributed in AngularDart based Speakeasy’s Live Listening feature that allows supervisors of contact centers to silently monitor the conversation between customers and agents. ◦ Built a functionality to automatically transfer supervisors to the channel where conversation is currently happening between customer and agent when listening to a conversation that spans across multiple channels (e.g. Phone and Google Meet).

Microsoft Engage '21
◦ Developed a Node.js and React.js based Microsoft Teams inspired web application. ◦ Built numerous features like user authentication system, screen share and screen record, shareable whiteboard, chat feature. ◦ The clone could connect more than 2 peers, has a property where one could invite an individual via an email, additional control features for the moderator and text popup to view messages.
Harshit Sureka's Contact Information
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