Isha Sharma

I am a results-driven Software Engineer with expertise in C++, Python, and AI-driven development, currently working at an investment bank. My experience spans across designing and deploying high-performance, low-latency systems, building scalable AI models, and integrating machine learning for risk analysis and automation.

I have a strong foundation in data structures, algorithms, and system design, allowing me to optimize performance in event-driven applications. My work includes real-time data processing, multithreading, concurrency, and exchange connectivity, aligning with modern trading systems' needs. Additionally, I have experience in reverse engineering, NLP, and GenAI, having contributed to projects involving production incident analysis, RAG-based chatbots, and in-place translation tools.

Beyond technical expertise, I actively contribute to open-source AI projects, mentor junior engineers, and stay at the forefront of cutting-edge AI and trading technologies. I am always eager to take on complex challenges, whether in high-frequency trading, full-stack web applications, or AI-driven automation.

📌 Tech Stack: C++ (11/14/17), Python, JavaScript, React, MongoDB,  Machine Learning, NLP, GenAI, SQL, Shell Scripting
📌 Domains: High-Performance Trading, AI & Machine Learning, FinTech, Full-Stack Development, Cloud Deployment (AWS, GCP, Azure)
📌 Key Projects: Production Incident Analyzer, AI-powered Code Assistant, Society Compliance CRM, AI-Powered Trading Tools

Let's connect to discuss opportunities at the intersection of finance, AI, and high-performance computing!

I am a results-driven Software Engineer with expertise in C++, Python, and AI-driven development, currently working at an investment bank. My experience spans across designing and deploying high-performance, low-latency systems, building scalable AI models, and integrating machine learning for risk analysis and automation.

I have a strong foundation in data structures, algorithms, and system design, allowing me to optimize performance in event-driven applications. My work includes real-time data processing, multithreading, concurrency, and exchange connectivity, aligning with modern trading systems' needs. Additionally, I have experience in reverse engineering, NLP, and GenAI, having contributed to projects involving production incident analysis, RAG-based chatbots, and in-place translation tools.

Beyond technical expertise, I actively contribute to open-source AI projects, mentor junior engineers, and stay at the forefront of cutting-edge AI and trading technologies. I am always eager to take on complex challenges, whether in high-frequency trading, full-stack web applications, or AI-driven automation.

📌 Tech Stack: C++ (11/14/17), Python, Django, Flask, Next.js, TypeScript, React, MongoDB, Redis, Prisma, Machine Learning, NLP, GenAI
📌 Domains: High-Performance Trading, AI & Machine Learning, FinTech, Full-Stack Development, Cloud Deployment (AWS, GCP, Azure)
📌 Key Projects: Production Incident Analyzer, AI-powered Code Assistant, Society Compliance CRM, AI-Powered Trading Tools

Let's connect to discuss opportunities at the intersection of finance, AI, and high-performance computing!

Graduated with a strong foundation in data structures, algorithms, system design, and software engineering. Led the college placement committee, organized workshops for underprivileged children, and successfully managed a winning contingent in an inter-college festival. Gained hands-on experience in AI, ML, full-stack development, and high-performance computing, laying the groundwork for a career in finance, trading systems, and AI-driven automation.