Software Developer Stack

RENU AAKANKSHA VEESAM

Software Developer

TX, USA +1-469-***-**** ****.***********@*****.*** LinkedIn SUMMARY

Java Full Stack Developer with 4 years of experience delivering scalable web applications across e-commerce, HRTech, and SaaS domains. Proficient in backend development using Java 8+, Spring Boot, Spring MVC, and RESTful APIs, and frontend development with JavaScript (ES6), TypeScript, React.js, HTML5, and CSS3. Experienced in microservices design, JWT-based API security, and working with MySQL, MariaDB, PostgreSQL, and MongoDB. Skilled in Docker containerization and building CI/CD pipelines using Jenkins, Gradle, and GitHub Actions. Hands-on with AWS (EC2, S3, Lambda) and Azure, and collaborative in Agile teams using JIRA and Git.

PROFESSIONAL EXPERIENCE

Sr. Software Developer McKinsey & Company USA March 2025 – Present

● Spearheaded development of modular applications with Angular, Node.js, and TypeScript, delivering 6 secure client-facing features in real-time collaboration platforms.

● Constructed a mobile-optimized Progressive Web App (PWA) with Angular service workers, improving time-to-interaction by 1.4 seconds and lowering bounce rates on low-end devices.

● Implemented onboarding pipelines using Veriff and Auth0, reducing identity verification time by 3 minutes per user and aligning with compliance review benchmarks.

● Containerized microservices with Docker and deployed via AWS ECS, accelerating rollouts across 3 environments and cutting rollback recovery by 2 hours.

● Activated asynchronous event-driven workflows with Apache Kafka, enabling real-time handling of chat triggers, analytics, and transaction events across 10+ decoupled services.

Graduate Teaching Assistant University of Texas at Arlington USA May 2024 – January 2025

● Facilitated 40+ lab sessions and discussion sections for graduate-level Computer Science courses, guiding over 120 students per semester in mastering course concepts and lab assignments.

● Graded and provided feedback on 350+ coding projects, research papers, and exams each term, ensuring turnaround within 5 business days to maintain academic timelines.

● Conducted weekly office hours and one-on-one mentoring sessions, resolving 90% of student queries on assignments, projects, and exam preparation before deadlines.

● Designed supplemental learning materials, including 15+ lab exercises and code samples, improving student project completion rates by 20% compared to the previous semester.

● Supported faculty in curriculum delivery by preparing lecture slides, configuring software environments, and managing LMS content for 4 concurrent courses.

● Coordinated academic data collection and analysis in Excel and Power BI, generating progress reports for 40+ students to assist faculty in early intervention and performance tracking. Full Stack Developer Airbnb India September 2021 – December 2022

● Devised scalable backend infrastructure with Java 17 and Spring Boot, cutting server latency by 300 ms during peak traffic from 1M+ daily active users.

● Implemented multiplayer session support using Netty and WebSockets, ensuring stable real-time interaction for 10K+ concurrent players per tournament cycle.

● Integrated Cassandra, RabbitMQ, and Hazelcast into fraud detection workflows, identifying anomalies across 150K+ events per hour and strengthening system reliability.

● Redesigned matchmaking services with Spring Boot and SQL, accelerating allocation times and streamlining 1.2M+ automated player pairings per day.

● Conducted load testing with JMeter, resolving 7 high-priority server bottlenecks and enabling stable execution of 50K+ concurrent matches under tournament conditions.

Software Developer KPMG India January 2020 – August 2021

● Drafted 25+ interactive Power BI dashboards by integrating SQL Server, Bloomberg API, and client-side feeds, delivering real-time portfolio risk views for asset management engagements.

● Deployed secure REST APIs to support cross-platform financial data exchange between client trading systems and internal risk engines, reducing latency by 400ms per request.

● Constructed a resilient Python-based ETL pipeline for ingesting high-frequency market data from client feeds, automating ingestion tasks and reducing manual data prep by 6 hours/day.

● Streamlined stored procedures and complex joins in SQL Server, optimizing client-facing financial reports and reducing execution time from 1.2s to 800ms across multiple client environments.

● Integrated real-time anomaly detection using AWS Glue and microservices, automating surveillance workflows for client trade audits and flagging inconsistencies in 10,000+ events/day. PROJECTS

SmartExpense – AI-Powered Finance Management System

● Built a full-stack platform using Flask, Vue.js, and Plaid API, integrating OCR-based receipt logging and reducing expense entry time by 10 minutes/user with Redis-backed caching.

● Deployed microservices on AWS Lambda and Kubernetes, enabling voice-based expense logging via Google Speech-to-Text and forecasting models, processing over 12,000 transactions/month. TradeVision – Real-Time Stock & Crypto Analytics Platform

● Developed a real-time dashboard using React, Flask, and WebSockets, streaming data from Alpha Vantage and Binance APIs, supporting over 50,000 concurrent users during peak market hours.

● Integrated market prediction models and secured access with OAuth 2.0 and RBAC, tuning PostgreSQL queries to reduce average data fetch time from 1.1 seconds to 600 milliseconds. TECHNICAL SKILLS

Programming Languages: Java, Python, JavaScript, TypeScript, C#, HTML/CSS Frameworks: React.js, Angular, Vue.js, Spring Boot, Flask, .NET Core Version Control: Git, GitHub, GitLab, Bitbucket

Databases: SQL Server, PostgreSQL, MongoDB, Cassandra, Redis, MySQL Cloud Platforms: AWS, Azure DevOps

Containerization & Orchestration: Docker,

Kubernetes Agile Methodologies: Scrum, Kanban, Jira DevOps Tools: Jenkins, Argo CD, Airflow, Terraform Machine Learning: TensorFlow, Keras, Scikit-learn, Pandas, NumPy APIs & Real-Time Systems: RESTful APIs, WebSockets, OAuth 2.0, RabbitMQ, Kafka Software Testing: JUnit, PyTest, Selenium, Load Testing (JMeter) Low-Code/No-Code Tools: Microsoft Power BI, Power Apps, Power Automate EDUCATION

Master of Science in Computer Science January 2023 – December 2024 University of Texas at Arlington TX, USA

Bachelor of Engineering in Information Technology August 2018 – August 2022 Vasavi College of Engineering India

CERTIFICATIONS

● AWS Certified Solutions Architect Associate

● React Basics

● Machine Learning: Regression and Classification

● Oracle Cloud Infrastructure AI Foundation

● Oracle Cloud Infrastructure Data Foundations Associate

● Networking: The Bits and Bytes of Computer Networking

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