Curriculum Vitae
Experience &
Education
Work Experience
Annapurna Labs (AWS)
Software Development Engineer — HW/SW Co-Design Chip Validation
Austin, TX
- ▸Designed and implemented robust modern C++ test benches for critical data movement architecture, validating DMA operations in silicon bring-up.
Bank of America
Software Engineer
Charlotte, NC
- ▸Optimized the FR Y-14Q Schedule L regulatory template download process, reducing execution time by 75% (~30 min → 7 min).
- ▸Built a Python-based Data Quality Control system in Quartz to identify counterparty financial data inconsistencies in Enterprise Stress Testing, enabling automated reconciliation.
- ▸Maintained 99% unit test coverage across all production releases; drove UAT and regression testing.
Bank of America
Software Engineer Intern — Global Technology
Charlotte, NC
- ▸Designed and built a Python-based Workflow Orchestration Tool automating 20+ pre-processing steps for regulatory reporting in Oracle DB, cutting manual setup time by 80%.
- ▸Integrated real-time monitoring and status tracking into the internal UI framework, reducing user-induced errors via automated validation checks.
Research Experience
Aug 2022 – Jan 2023
- ▸Conducted research with Dr. Rosa Arriaga about Human-Computer Interaction in Ubicomp Health Lab, focusing on building the Diabetic Ulcer Computational Sensing System for diabetes patients and clinicians that is usable and useful.
- ▸Working with a group of 9 on designing and developing the system with React Native, reviewing related literature, and participating in weekly meetings.
Automatic Algorithm Design @ Georgia Tech Vertical Integrated Project
Undergraduate Researcher
Atlanta, GA
- ▸Participated in bootcamp to learn Genetic Algorithms, Genetic Programming, Machine Learning, DEAP (Distributed Evolutionary Algorithms in Python), and EMADE (Evolutionary Multi-objective Algorithm Design Engine).
- ▸Led a group of 4 to achieve co-dominant solutions and find the Pareto front using different ML models, Multi-Objective Genetic Programming, and EMADE on predicting Titanic survival — Accuracy 86.59%, True Positive Rate 88.03%.
- ▸Joined image-processing sub-team working with 2 students to preprocess 49,466 images for testing the Evolutionary Model.
- ▸Documented legible and technical meeting notes with MediaWiki to track lab progress.
Education
Currently Pursuing
- ▸GPA: 4.0/4.0
- ▸Coursework: Operating Systems, GPU SW/HW, Big Data Health, Health Informatics
Georgia Institute of Technology
B.S. in Computer Science — Intelligence + Information Internetwork
Atlanta, GA
- ▸GPA: 3.96/4.0 · Major GPA: 4.0/4.0
- ▸Awards: Faculty Honors, Dean's List
- ▸Engagements: CoC Peer Mentor, HackGT, GT Trailblazers, CSSA
Jul 2020
- ▸Design Thinking — Human-Centered Approaches to Making the World
- ▸Grade: A+
Skills
Languages
PythonJavaCC++TypeScriptJavaScriptSQLMySQL
Frameworks & Libraries
ReactNext.jsReact NativePyTorchgRPCProtocol BuffersMyBatis
Tools & Platforms
GitDockerLinuxOracle DBSQLiteStreamlitMediaWiki
Concepts
Distributed SystemsMachine LearningComputer VisionDatabase SystemsHCISystems Programming
Coursework
Graduate
Introduction to Operating SystemsGPU SW and HWBig Data HealthIntro to Health Informatics
Spring 2024
Computer Networks IAutomata and ComplexityIntro to Information Security
Fall 2023
Introduction to Perception and RoboticsStatistics and ApplicationsApplied CombinatoricsComputing, Society, and Professionalism
Spring 2023
Design & Analysis of AlgorithmsObjects and DesignIntroduction to Artificial IntelligenceGeneral Psychology
Fall 2022
Intro to Database SystemsIntro to Computer VisionMachine LearningSystems and NetworksIntro Multivariable Calculus
Spring 2022
Data Structures & AlgorithmsComputer Organization & ProgrammingHonors Discrete Math CS
Fall 2021
Intro to Object Oriented ProgrammingLinear Algebra