Headline

Software Engineer @ Scapia | Ex-Qualcomm, Amazon, Meta | Quantitative Finance, Blockchain & AI,ML Enthusiast | Dual Degree @ IIIT-Hyderabad | VR Research

About

Software Engineer at Scapia, building scalable backend systems for the travel visa platform using Java, Spring Boot, AWS, Redis, and distributed systems. Previously worked at Amazon and Qualcomm on cloud services, asynchronous workflows, notification systems, and performance engineering. Alongside my industry work, I conduct research at IIIT Hyderabad in AI-assisted mental health and cognitive assessment. My work includes developing a cognitive testing platform, VR-based mental health assessment, head and eye tracking, and behavioral data analysis. I have also contributed to research publications and conference presentations in these areas. I am also interested in quantitative finance and completed the Certificate Program in Financial Engineering at the Indian Institute of Quantitative Finance, covering derivatives, stochastic processes, Monte Carlo simulation, volatility forecasting, and quantitative risk analysis. My primary interests are backend engineering, distributed systems, AI, quantitative finance, and building reliable products end to end.

Location

Hyderabad

AI stack

codex

cursor

opencode

Work experience

Software Engineer at Scapia, Aug 2025 - Present · 1 yr 1 mo, Bengaluru, Karnataka, India, • Build and own backend workflows for Scapia Visas across mobile and web, covering visa applications, traveller journeys, document uploads, appointment checklists, dynamic forms, and application state transitions. • Played a key backend role in launching Scapia Visas on the web, enabling guest users to create applications, upload documents, complete payments, and continue their journey across sessions. • Built multi-document upload workflows using Spring Boot, Amazon S3 presigned URLs, Amazon SQS async events, and SQL-based document mapping. • Developed traveller-wise appointment checklist and document-bundle APIs to generate merged PDFs and identify missing documents before embassy appointments. • Migrated persona-based application forms from hardcoded Java configuration to database-driven schemas, improving country-level configurability and reducing frontend complexity. • Improved reliability through New Relic alerts, structured root-cause logging, state-machine observability, API rate limiting, and production error handling. • Contributed to expanding visa coverage to 45+ countries through configuration-driven workflows and country-specific rules. • Earlier contributed to e-commerce and support-automation workflows across catalogue, cart, checkout, promotions, returns, payments, fulfilment, and event-driven ticket auto-closure. Tech: Java, Spring Boot, REST APIs, PostgreSQL, Redis, AWS S3, AWS SQS, Microservices, Distributed Systems, New Relic

Student Researcher at Cognitive Science lab (VR Mental Health) IIIT Hyderabad, May 2022 - Present · 4 yrs 4 mos, IIIT Hyderabad, • Explored VR’s impact on mental health and psychological well-being. • Conducted literature reviews comparing traditional mental health interventions with emerging technologies such as XR and Metaverse. • Designed VR prototypes specifically for the Indian context, addressing gaps in metaverse-based mental health solutions. • Developed VR experiments assessing user interaction, stress responses, and cognitive behaviors. • Collaborated with interdisciplinary teams, refining methodologies in experimental psychology and cognitive science. Research Publications & Studies: Published & Accepted: • Investigating Running Man Signage in Emergencies (Cognitive Science Society 2023) - Evaluated VR-based signage effectiveness on evacuation behavior. Under Review: • Psychometric Analysis Using VR Head Scans (Cognitive Science Society 2025) - Analyzed eye/head-tracking data to assess cognitive and emotional responses. Completed (Pending Submission): • Sleep Health & Academic Performance - Studied sleep’s role in students' cognitive function and productivity. Ongoing Research: • Eye & Head Tracking in 360° VR - Developing methods to examine user engagement, perception, and cognitive load in VR.

Internship Trainee at GoQuant, Jul 2025 - Jul 2025 · 1 mo, Remote, • Selected for GoQuant’s highly competitive July 2025 HFT & market systems bootcamp, focused on real-world exchange APIs and trading infrastructure. • Completed intensive hands-on modules: C++ market data feeds, order entry, and automated testing for major crypto exchanges. • Built a complete trading interface for the MEXC Spot exchange (team project) using GoQuant’s C++ frameworks and best practices. • Gained practical experience in integrating orderbooks, handling real-time data, and wiring code into live trading products. • Developed a strong understanding of exchange connectivity, automated trading systems, and collaboration in a high-paced team environment.

Software Engineer at Qualcomm, Apr 2025 - Jul 2025 · 4 mos, Bengaluru, Karnataka, India, • Spearheaded the development of the SeeIoT tool, enabling customers to perform performance analysis and generate sample pipelines based on selected use cases and SoCs, enhancing customer innovation and resource efficiency. • Designed and implemented a user-friendly UI for SeeIoT, allowing users to configure input and output streams, select use cases, and receive detailed performance feedback. • Developed automated and semi-automated ISP analysis tools, including constraints checking and detailed performance feedback mechanisms, improving analysis accuracy and efficiency. • Ensured compatibility with a wide range of SoCs, including premium, sub-premium, high, and mid/entry-level models, broadening the tool's applicability. • Collaborated with cross-functional teams (CamSysArch, CamPerf, CTE) to integrate and optimize the SeeIoT tool, ensuring seamless functionality and performance. • Leveraged Machine Learning and Computer Vision techniques to enhance image processing and camera system capabilities within the SeeIoT tool. • Technologies: Python, YAML, ISP Analysis Tools, Qualcomm SoCs, UI/UX Design, Performance Analysis, Automated Testing, Cross-functional Collaboration, Machine Learning, Computer Vision, Image Processing, Camera Systems.

Software Development Engineer at Amazon, Jul 2024 - Dec 2024 · 6 mos, Hyderabad, Telangana, India, • Led the migration of notification services across trains, flights, buses, metro, insurance, and hotels from RTN to DLNS within Amazon Pay (IN), ensuring compliance and reducing notification costs by 33%. • Developed and optimized AWS-based notification workflows using Lambda, SNS, SQS, and DynamoDB, improving reliability and scalability. • Collaborated with multiple teams to integrate new communication payloads while maintaining backward compatibility. • Debugged and resolved complex system integration issues, ensuring seamless user notifications across platforms. • Participated in an Amazon Hackathon, developing a price fluctuation notification system for e-commerce, increasing user engagement by 20%. • Technologies: AWS (Lambda, SNS, SQS, DynamoDB), Java, Node.js, REST APIs, Maven, Git, Microservices, CI/CD, JUnit

Education

Dual degree - Integrated MS and Btech, Electronics and Communication Engineering, International Institute of Information Technology Hyderabad (IIITH)

Certificate Program in Financial Engineering, Quantitative Finance, Indian Institute of Quantitative Finance

Public links

github: https://github.com/prudviee