# Ajay Venkatesh > NYU | Ex-Amazon, PwC | Software Engineer | Full Stack Developer | Java, Python| JavaScript, React, Node| AWS & Azure | System Design | LLM, Agentic AI | Open to Opportunities Location: United States, United States Profile: https://flows.cv/ajayvenkatesh1 Ever met someone who’s experienced both the big-tech environment and the fast-paced startup world—and still spends time exploring AI for fun? That’s a bit of my journey. I’m a Software Engineer based in Brooklyn, NY. I’ve worked at companies like Amazon and PwC, building large-scale applications used by real customers. A big part of my work has been turning product ideas into solid system designs, writing reliable production code, and using cloud infrastructure and CI/CD pipelines to ship features that can handle millions of users. At the same time, I’ve also worked in startup environments where things move fast and ownership matters. In those settings, I’ve built products from the ground up—designing, developing, and launching them end to end. Experiencing both worlds has shaped how I work: combining the engineering discipline of big tech with the ownership and speed of startups. I’m also deeply interested in AI and machine learning, especially building intelligent systems and AI-driven applications. I’m currently pursuing a Master’s in Computer Engineering at NYU (GPA 3.9), focusing on machine learning, deep learning, and large-scale data systems. I’ve also published research with IEEE on applications of AI and machine learning. If my work resonates with your team, I’d be excited to connect and explore the opportunity to work together. ## Work Experience ### Software Engineer @ CampusMesh Inc Jan 2026 – Present | New York, United States CampusMesh is a secure, student-only academic platform designed to help university students connect globally through study groups, events, communities, internships, and more — all within a single application. In this role, I will contribute to backend development by building scalable features using microservices architecture and designing, implementing and deploying cloud-based solutions on AWS. ### Software Engineer @ New York University Jan 2024 – Present | New York, New York, United States ● Contributed to an AI-driven Remote Patient Monitoring System, awarded $100K by the National Science Foundation, USA, employing React Native, TypeScript, and Cognito authentication for real-time health monitoring. ● Authored parallelized ETL pipelines in Python to convert unstructured NoSQL data into structured SQL using GCP Cloud Functions. Leveraged concurrent processing of data chunks, reducing transformation time by 60%. ● Developed a React website to host QuickSight dashboard handling 50K+ records, utilized Cognito, Amplify, and Lambda functions to establish login, role-based access control, and Stripe integration for payment gateway. ### SDE @ Amazon Jan 2025 – Jan 2025 – Designed a secure UI Console architecture using Midway SSO, OAuth, and HELIS to enforce least-privilege, role-based access; presented the solution to the team and received design approval. – Built serverless infrastructure using AWS CDK to deploy API Gateway, Lambda (Java 21), DynamoDB, and S3 with cross-account access; implemented CI/CD pipeline for multi-stage deployments. – Developed the frontend using React 18, integrating AWS UI components, Midway AuthN, and HELIS AuthZ with role-aware views and filtering; delivered a UI that was 40% faster and significantly more secure than older version. – Implemented backend APIs using Java Coral, Smithy models, Dagger DI, and CBOR serialization; improved response time by 35% and ensured reliability through comprehensive unit and integration testing. ### Senior Software Associate @ PwC Acceleration Centers Jan 2023 – Jan 2024 | Bengaluru, Karnataka, India ● Designed and implemented a distributed backend system on Microsoft Azure for a cloud-based health platform, integrating with Microsoft Dynamics for secure data flow and leveraging Azure services for scalability, fault tolerance, and event-driven processing. ● Led code reviews and mentored 5 interns on software design principles, test-driven development, and performance optimization, reducing production bugs by 25% and accelerating CI/CD pipeline efficiency in an Agile practice. ● Built a scalable B2B web platform with modular backend services to modernize a legacy user onboarding system, integrating data pipelines, email event tracking, and BI report generation, resulting in 70% improvement in automation and extensibility. ● Deployed a cognitive neural model via RESTful APIs to automate structured data extraction from physical cards using OCR. and NLP techniques, reducing manual processing time by 75% and enhancing system integration with client applications. ### Associate-2 Software Engineer @ PwC Acceleration Centers Jan 2022 – Jan 2023 | Bengaluru, Karnataka, India ● Engineered role-based access control (RBAC) and authorization layers for 5+ different roles, enforcing the principle of least privilege and preventing unauthorized access through strict session validation and privilege escalation checks. ● Optimized a data pipeline by implementing parallel processing for cleaning, mapping, and importing 100K-row Excel files into the database, reducing execution time from 5 hours to 1 hour and improving overall efficiency by 80%. ● Engineered a trie-based autocomplete module to enable fast and dynamic search across users and documents, reducing average query time by 70% and improving operational efficiency for over 10K+ client records. ● Composed client and server-side custom configurations using JavaScript, plugins, custom workflows, webhooks, and Business rules, yielding a 35% faster server response. ### Associate Software Engineer #PWC @ PwC Acceleration Centers Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India In my role as an Associate Software Engineer at PwC Acceleration Centers, I completed internal training on Azure cloud computing, Power BI, software development, automation, and DevOps. This training allowed me to obtain certificates and enhance my skills in these areas. ## Education ### Master's Degree in Computer Engineering New York University ### Master of Science - MS in Computer Engineering New York University ### Bachelor of Engineering - BE in Telecommunications Engineering Dr. Ambedkar Institute Of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/ajay-venkatesh19 - GitHub: https://github.com/ajayv-19 - Portfolio: https://ajayvenkateshdev.vercel.app --- Source: https://flows.cv/ajayvenkatesh1 JSON Resume: https://flows.cv/ajayvenkatesh1/resume.json Last updated: 2026-04-18