● Graduate Teaching Assistant (TA) for Machine Learning (FRE-GY 7773), by Prof. Ken Perry at NYU

● Graduate Teaching Assistant (TA) for Advanced Deep Learning (FRE-GY 7871), by Prof. Ken Perry at NYU

● Graduate Teaching Assistant (TA) for NLP & The Investment Process (FRE-GY 7871), by Prof. Dan Rodriguez at NYU

● Conduct in-depth market analysis and financial due diligence to identify and evaluate high-potential startups in the deep tech sector, ensuring alignment with the strategic objectives of EFL’s accelerator program.● Utilize Python and SQL to automate the extraction and processing of large datasets, significantly enhancing the accuracy and efficiency of decision-making processes.● Collaborate with cross-functional teams to optimize internal databases, reducing data redundancy and improving the overall performance of financial models and reporting systems.● Contribute to the development of strategic insights by continuously monitoring emerging technologies, industry trends, and competitive landscapes to inform the accelerator's investment decisions.● Present detailed reports and recommendations to senior leadership, helping shape the selection and support strategies for startups within the program.

Played a crucial role in the development and implementation of investment strategies focusing on the equities markets of India and Hong Kong. My contributions included:● Designing innovative signal protocols tailored for a long-only investment strategy, which was distinguished by a medium-term rebalancing cycle of 30 days. This approach optimized the portfolio's performance by capitalizing on the unique market dynamics of these regions.● Managing a significant portfolio with assets under management (AUM) totaling $24.3 million. This role encompassed the entire investment process, from hypothesis formulation through to Python-based backtesting and the generation of monthly signals to guide investment decisions.● Employing a data-driven approach to identify and exploit market inefficiencies, thereby enhancing portfolio returns while adhering to a disciplined risk management framework.● Collaborating closely with a team of analysts and other researchers to continuously refine our investment models based on emerging market trends and data insights.This experience allowed me to significantly contribute to our investment team's success, leveraging my quantitative skills to develop and implement strategies that drove substantial portfolio growth.

● Developed the middleware for 'STrade', an HFT platform aimed at institutional clients.● Enabled sophisticated strategy construction and automation for users, enhancing trading efficiency.● Achieved groundbreaking 5.9 microseconds order execution latency at the 50th percentile, setting industry benchmarks.● Implemented a cutting-edge real-time risk monitoring framework to protect against market volatilities.● Introduced dynamic market exposure adjustments, optimizing trading outcomes in fluctuating markets.● Crafted a comprehensive strategy builder backend, streamlining the strategy deployment process.● Developed a robust verification algorithm to ensure strategy integrity and reliability.● Facilitated effective cross-functional team collaboration for seamless API integration, enriching platform capabilities.● Pioneered technical innovations, significantly enhancing trading speed and reliability.● Contributed to STrade's position as a leader in the HFT domain, driving technological advancements in financial trading.

I actively contributed to the full-stack development of 'Gulaq', a Robo-Advisory platform. My work involved:● Engineering the advisory engine with Python, enabling complex financial analyses and the creation of personalized investment strategies for our clients.● Developing the backend infrastructure using Node.js, which was critical for the platform's seamless operation and scalability, allowing us to handle increasing user demand efficiently.● Architecting the system's infrastructure on AWS, ensuring high availability and robustness to support our growing base of users and their data needs.● Designing and managing the database architecture with SQL, optimizing for performance and reliability in handling and querying complex datasets.

In my role, I focused on preparing students for successful careers in software development, guiding them through the technical aspects of interviews. My responsibilities included:● Taught students complex data structure problems, ensuring they understood the concepts and could apply them in coding challenges.● Assisted students in implementing data structure solutions, bridging theory with practical application.● Conducted online lectures regularly to deepen students' understanding and keep them updated with the latest study materials and industry best practices.● Provided personalized mentorship to improve their technical skills, problem-solving abilities, and interview readiness, enhancing their employability in the software development field.