Bengaluru, Karnataka, India
I’m a Computer Science graduate with a deep passion for quantitative finance, algorithmic trading, and high-performance problem-solving. Currently positioning myself as a Quantitative Researcher and Trader, I thrive at the intersection of mathematics, computer science, and financial markets — turning complex data into profitable trading strategies. My journey in competitive programming has been foundational. As a Codeforces Specialist (rated 1800+), I’ve honed my ability to think under pressure, optimize algorithms, and solve challenging problems at scale. With strong mastery in LeetCode (Knight/Guardian level) and advanced DSA, I consistently deliver clean, efficient, and production-ready code. This rigorous training directly translates into building robust quantitative models, backtesting engines, and low-latency trading systems. In 2025–2026, I secured highly competitive quantitative internships, including offers from Jane Street and several other elite quant firms. These experiences sharpened my skills in: Statistical modeling and probability Options pricing and derivatives Market microstructure Python/C++ development for trading infrastructure Data-driven strategy research I love the intellectual intensity of quant work — whether it’s designing alpha signals, optimizing execution algorithms, or diving into stochastic processes and machine learning for predictive edge. I’m particularly drawn to Jane Street’s collaborative, puzzle-driven culture and the fast-paced environment of proprietary trading. Beyond technical depth, I bring strong communication skills, curiosity, and a results-oriented mindset. I enjoy mentoring juniors in competitive programming, contributing to open-source tools for quants, and staying ahead of the latest research in algorithmic trading and quantitative strategies. Open to full-time Quantitative Researcher / Trader roles starting 2026 at top-tier firms (prop trading, hedge funds, HFT). If you’re working on challenging problems in quant finance or building next-generation trading systems, I’d love to connect. Let’s talk markets, algorithms, or the next big edge.
As a Trainee Web + Generative AI Developer at NovaCode, I am gaining hands-on experience in building intelligent, AI-powered web applications while mastering full-stack development and cutting-edge generative AI technologies. Key areas I'm actively working on and learning: Developing responsive and dynamic web applications using HTML5, CSS3, JavaScript/TypeScript, React.js / Next.js Integrating Generative AI capabilities into web projects (LLM-powered features, chat interfaces, content generation, and intelligent automation) Backend development with Node.js, Express.js / FastAPI (Python) for scalable APIs Working with modern AI tools and frameworks such as LangChain, OpenAI APIs / Google Gemini, Hugging Face models for building AI-driven features Database handling with MongoDB, PostgreSQL, and cloud basics AI-assisted coding & productivity tools like GitHub Copilot, automated testing, and prompt engineering for faster development cycles Collaborating on real-world projects that combine traditional web development with generative AI to create innovative, user-centric solutions
Completed a hands-on internship in Artificial Intelligence with a focus on Python programming through Coincent's industry-oriented training program. Built an end-to-end AI project titled ArIES in collaboration with the ArIES - Artificial Intelligence and Electronics Society, IIT Roorkee ecosystem, applying machine learning concepts, data processing, model development, and deployment techniques. Gained practical experience in real-world AI workflows, from problem definition and data handling to model training, evaluation, and implementation. Strengthened skills in Python libraries (such as NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch – customize based on what you used), project documentation, and collaborative development.
I contributed to building dynamic, user-friendly web applications while deepening my understanding of modern web development principles, responsive design, and efficient data management. Key highlights: Developed and collaborated on team projects, including the Hospital Appointment System — a full-featured web application that enables patients to book, view, and manage appointments online, with admin panels for scheduling and records. Worked extensively with JavaScript for interactive frontend functionality and logic. Designed and implemented backend features using MySQL databases for secure data storage, querying, and CRUD operations (Create, Read, Update, Delete). Applied core concepts in DBMS (Database Management Systems) to ensure data integrity and performance. Collaborated with team members using version control and agile practices to deliver high-quality, scalable solutions.