# Kaushik Gunda > SDE @ Hedge Fund | Ex SDE 2 @ D. E. Shaw | MCS @ UCI | C++, Python | Let's connect! Location: New York, New York, United States Profile: https://flows.cv/kaushikgunda Experienced software engineer passionate about crafting efficient and innovative solutions. Proven track record in building performant software for diverse fields, including Hedge Funds, Electronic Design Automation, and Network Switch teams. Swiftly adapts to new projects, identifies innovation opportunities, and excels in challenging environments. Thrives on solving intricate problems and achieving high-performance results. During my tenure at D. E. Shaw, some of my proud accomplishments include: - Expediting time-series data access by 20x - Streamlining analytics playground for any historical date by 5x - Boosting developer productivity by 50% with an optimized build setup - Automating setup to reduce maintenance work of database operations by 80% Looking forward, I'm eager to push boundaries, embrace new challenges, and contribute to cutting-edge projects. If you seek a dynamic and innovative software engineer for your team, let's connect! Reach me at gundak@uci.edu. ## Work Experience ### Software Engineer @ A.R.T. Advisors, LLC Jan 2024 – Present | New York, United States ### Software Developer Internship @ Siemens EDA (Siemens Digital Industries Software) Jan 2023 – Jan 2023 | Fremont, California, United States Member of Questa software product team, providing hardware verification and digital design simulation capabilities. • Achieved a 40% reduction in Questa HDL parallel simulation execution times through the implementation of smart profiling-driven rebalancing of execution patterns, demonstrating proficiency in C, MPI, and GDB. • Automated the merging of log files from parallel simulations, creating a unified view for streamlined analysis and debugging. ### Senior Member Technical @ The D. E. Shaw Group Jan 2021 – Jan 2022 | Hyderabad, Telangana, India As an R&D team member, I specialized in building components for advanced trading systems, acting as an analytic engine, portfolio optimizer, and risk manager. Some of my best projects during this time include: • Accelerated historical financial simulations and risk reporting by 80% in C++ by optimizing state file memory load time. Utilized multithreaded decompression with the lz4 library and parallel deserialization using Boost thread pool. • Strengthened security of 3 major trading systems by integrating TLS protocol into all C++/Python socket communications. Leveraged the OpenSSL library to enable robust authentication and encryption mechanisms. • Implemented a price update module for ETFs, leveraging Apache Kafka to receive real-time quotes and efficiently handle up to 10K messages/second. Ensured precise and timely pricing for effective trading decisions. • Developed 50+ optimized quant metrics in C++/Python for security modeling, portfolio management, and risk analysis. • Actively took the lead in interviewing candidates for internships and full-time Software Engineering roles, contributing to the growth of our team. • Initiated and participated in an outreach initiative called Ascend Educare, where I taught Object-Oriented Programming (OOPs) and C++ concepts to undergraduate students, helping them enhance their skills and knowledge in the field. ### Member Technical @ The D. E. Shaw Group Jan 2019 – Jan 2021 | Hyderabad Area, India As a junior R&D team member, I immersed myself in the world of advanced trading systems, serving as an analytic engine, portfolio optimizer, and risk manager. My primary focus was on financial time-series data, and some of my proud projects include: • Accelerated access to financial time-series data (over 25 TB) by an impressive 2000% compared to Data Warehouse queries. This achievement was made possible by developing a high-performance vectorized cache library in Python, leveraging NumPy and HDF5 file format. • Facilitated historical data access for 12+ strategy teams by creating GraphQL APIs over Django. These APIs were seamlessly integrated with the cache library, ensuring cross-language compatibility, flexible queries, and efficient data retrieval. • Reduced cache maintenance and update requests by a substantial 80% by devising a highly flexible mechanism in Python. This allowed for seamless modification to the underlying cache configuration. • Developed interactive visualizations for historical stock and portfolio data analysis, leveraging React, D3.js, and Django backend. • Improved developer productivity by significantly reducing the build time of the 100K+ lines of C++ codebase by 60%. This achievement was accomplished through the implementation of CMake, ccache, migration to C++14 from C++98, and upgrading the GCC version. ### Research Assistant @ International Institute of Information Technology Hyderabad (IIITH) Jan 2017 – Jan 2019 | Hyderabad, Telangana, India Devised a specialized genetic algorithm to optimize target tracking by surveillance agents with restricted visibility, implementing a CUDA-based parallel version in C++ for strategy testing, resulting in over 70% successful agent tracking across 5000-time steps. ### Teaching Assistant @ International Institute of Information Technology Hyderabad (IIITH) Jan 2017 – Jan 2018 | Hyderabad Area, India Worked as a Teaching Assistant for Algorithms, Linear Algebra and Formal Methods courses. I was primarily involved in explaining material to students, clarifying doubts, creating and evaluating assignments, and evaluating exams. ### Software Engineering Intern @ Arista Networks Jan 2018 – Jan 2018 | Bengaluru, Karnataka, India Accelerated deployment of a new network switch by identifying issues in the packet processing pipeline and fixing VLAN to QoS Mapping in C++ for Switch Virtual Interfaces. The solution was validated through integration tests, achieving 100% code coverage using catch2 and pytest testing frameworks. ### Machine Learning Engineer Intern @ Rorodata Jan 2017 – Jan 2017 | Hyderabad Area, India Developed an algorithm for efficiently extracting semantic text information from national identity documents (PAN card, Aadhar card, and Driving License), using EAST for text boundary detection, Tesseract for Optical Character Recognition, and a dense neural network with Keras for text labeling. ## Education ### Master of Computer Science in Computer Science UC Irvine Jan 2022 – Jan 2023 ### Bachelor of Technology in Computer Science International Institute of Information Technology Hyderabad (IIITH) Jan 2015 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/kaushikgunda --- Source: https://flows.cv/kaushikgunda JSON Resume: https://flows.cv/kaushikgunda/resume.json Last updated: 2026-04-01