Nitesh Narwade — Software Engineer

I am a highly skilled Software Developer Engineer with a specialization in C++ and a strong foundation in Computer Science. I have a commendable track record of working in the challenging field of high-frequency trading, where precision and low-latency are of utmost importance. In my current role at a high-frequency trading firm in Mumbai, India, I am responsible for writing C++ code based on object-oriented programming (OOP) concepts to construct trading strategies. These strategies demand exceptional speed and efficiency, which is why low-latency C++ coding is essential. Furthermore, my tasked with building the execution logic from scratch in C++ and rigorously testing the code to ensure reliability and performance. My role extends to debugging live trading issues and simulations, where I demonstrates my skill in addressing quantitative problems through code debugging. A key aspect of my work is my proficiency with the Linux operating system and in-depth knowledge of Linux commands. This familiarity with Linux is invaluable, as it plays a pivotal role in the world of trading and high-frequency transactions. Notably, I has also excelled in a leadership role, where I manages a team of four junior developers. This demonstrates my ability to collaborate, mentor, and guide others in complex software development tasks. In addition to my work in high-frequency trading, I has made significant contributions to other domains. In my previous role at IIITD-CosyLab in Delhi, I was involved in software development and deep learning model training, utilizing a range of programming languages including Java, XML, Python, and YOLOv5 model. I also has experience as a Senior Subject Matter Expert at Evelyn Learning & Chegg India Pvt Ltd, where I applied my knowledge in Electrical Engineering and Physics. My skills extend beyond programming, with proficiency in a variety of programming languages, including C++, C, Java, and Python. I am well-versed in essential tools and technologies, such as Linux, Microsoft Excel, and a range of Python libraries like NumPy, Pandas, Scikit-Learn, and TensorFlow. My academic background includes technical electives in Mobile Computing, Machine Learning, Object-Oriented Programming and Design, and Algorithm Optimization in Computational Biology.

Stackforce AI infers this person is a Fintech professional with strong expertise in low-latency software development.

Location: Delhi, India

Experience: 5 yrs 6 mos