AJEETA ASTHANA
******@***.*** 551-***-**** GitHub LinkedIn New York, NY
EDUCATION
New York University, Courant Institute of Mathematical Sciences - New York, NY May 2023 Master of Science in Computer Systems GPA: 3.52/4.0 Relevant Coursework: Distributed Systems, Computer Networks, Big Data Analytics The National Institute of Engineering - Mysore, India Aug 2019 Bachelor of Engineering in Computer Science GPA: 9.00/10.0 Relevant Coursework: Computer Architecture, Operating Systems, Unix Programming. TECHNICAL SKILLS
● Programming Languages: C++, Python, Typescript, SQL
● Frameworks / Tools: PyTest, TDD, BDD, Istio, Git, Docker, Jenkins, Gherkin
● Cloud Platforms: Azure, AWS, GCP, IBM Cloud
PROFESSIONAL EXPERIENCE
Software Engineer Bloomberg L.P., Enterprise Products Team June 2023
● Redesigned legacy monolithic trading infrastructure into a microservices architecture, improving system throughput by 40%.
● Designed and implemented parsing logic and data models for SWIFT MT and MX message formats, improving STP accuracy by 30%.
● Developed custom matching algorithms to support complex asset types, improving settlement timeliness by 30%.
● Benchmarked and optimized matching engine latency by introducing database indexing achieving reduction in processing time during market close.
Software Developer Intern Goldman Sachs, Network Infrastructure Team June 2022
● Developed control plane application to automate the configuration of over 21,000 network devices globally.
● Implemented multi-source ETL operations using RESTful APIs and MongoDB integrations.
● Automated testing and deployment on Kubernetes clusters using GitLab CI/CD pipeline and Terraform. Software Developer Deloitte, Enterprise Solutions Team Jan 2021
● Worked as a full-stack application developer for a customer relationship management platform.
● Built an automated email notification system for 20+ use cases to notify users of upcoming deadlines. PROJECTS
Distributed Caching with RAFT - Elixir/Erlang Sept 2022
● Implemented a distributed key-value store based on the RAFT consensus algorithm.
● Simulated and analyzed the latency of CRUD operations with large payloads and varying failure conditions. Infrastructure Monitoring Microservice - Python, Flask, IBM Cloud April 2022
● Built a cloud-native microservice for efficient health check telemetry of compute and storage platforms.
● Deployed the service on Kubernetes using GitHub CI/CD workflow and Ansible. Software Defined Network Routing - Java, openFlow Dec 2021
● Developed a SDN application implementing optimal routing and load balancing in a mininet network emulator.
● Conducted communication testing between hosts, virtual hosts, and switches on multiple network topologies. Serverless Progressive Web Application - ReactJS, Python July 2019
● Reduced the load time of a cloud-native notes application by 3x using service workers and Google Lighthouse.
● Published an article in the International Journal of Advanced Research in Computer and Computing Engineering.