Research Assistant — Data Valuation for Ocean fCO₂ Prediction

January 2026 - Present

Cooperative Game Theory & ML

• Conducting a data valuation study for ocean fCO₂ prediction using cooperative game theory, exhaustively enumerating all 2¹³ = 8,192 source coalitions across 13 observational datasets (~300K samples) and training XGBRegressor models per coalition against a held-out North American Subtropical task set.
• Implemented 8+ valuation methodologies — exact Shapley, Banzhaf, Beta Shapley, Least Core (LP-based), Complement Shapley, Weighted Banzhaf, Shapley-Taylor order-3 interactions, and Weighted Shapley with geographic weighting schemes — to quantify individual and joint source contributions.
• Developed a novel Interaction-Aware Two-Phase Valuation framework that captures higher-order synergy and redundancy effects missed by standard marginal-contribution methods, with detailed negative source removal impact analysis.
• Built a reproducible research pipeline with resumable .npz coalition caching, joblib parallelism, and Cartopy Robinson projection geospatial visualizations, producing 51+ analytical graphs across two notebooks and a full research report.

Teaching Assistant — Algorithmic Trading (IEOR E4733)

January 2026 - Present

Market Microstructure & Trading Systems

• Supporting graduate-level instruction in algorithmic trading covering market microstructure theory, optimal market-making (Avellaneda-Stoikov), optimal execution (GLFT), and high-frequency trading system design.
• Guided students through hands-on implementation of HDF5 data pipelines, event-driven trading architectures, and statistical signal construction for systematic strategies.

AI Engineer

May 2024 - August 2025

Predictive Analytics and Product Development for Hospitality Finance

• Engineered an end-to-end financial intelligence platform combining AutoML forecasting, multi-agent LLM commentary, and drill-through P&L/Balance Sheet analytics used by CFOs and finance leaders across 200+ hospitality clients.
• Built scalable Azure-based microservices (FastAPI + Functions + SQL Server) to operationalize forecasting, KPI computation, and AI-generated variance analysis, reducing reporting latency by nearly 40%.
• Led the development of a multi-agent reasoning workflow that produced account-wise financial insights, automated variance explanations, and executive-grade commentary for P&L and Balance Sheet statements.
• Designed and deployed data pipelines and forecasting frameworks using SARIMA, LSTM, N-BEATS, AutoTS, and NeuralForecast, standardizing financial projections and saving 15–20 hours/month of manual effort per client.

Student Researcher

January 2021 - May 2025

Involving in cutting edge research pertaining to CS Research Domains.

• Developed federated learning pipelines integrating CNN-based defect classification with LIME-driven interpretability, achieving publication-level performance improvements on wafer defect datasets.
• Implemented machine learning models for real-time cybersecurity in Internet of Vehicles (IoV), incorporating SHAP and LIME explainability to enhance model transparency and threat diagnosis.
• Designed and evaluated OcclusionNetPlusPlus, a multi-scale similarity network with adaptive occlusion detection for robust iris recognition under challenging visual conditions.
• Collaborated with faculty to author peer-reviewed research papers, conducted rigorous experimentation, and produced reproducible ML/XAI workflows supporting academic dissemination.

Forensics Research Intern

April 2024 - June 2024

Enhancing AI in Forensics Sector

• Developed and optimized forensic analysis models leveraging Deep Learning and Explainable AI (XAI) to enhance the precision of DeepFake detection and the categorization of dark web sites.
• Contributed significantly to pioneering research efforts, integrating AI technologies into forensic science to elevate the effectiveness of intricate forensic investigations.
• Designed and implemented advanced AI solutions, facilitating breakthroughs in the detection and analysis of digital forensics, and contributing to the resolution of complex cases.
• Collaborated with multidisciplinary teams to push the boundaries of AI application in forensics, leading to the creation of innovative tools that improved investigative accuracy and efficiency.

AI and Cloud Intern

May 2023 - August 2023

Integrating the power of Cloud with AI

• Assisted in AI and cloud computing projects on Microsoft Azure, contributing to the development and deployment of AI models and NLP solutions that streamlined data management and optimized model development workflows.
• Led research on emerging AI techniques and innovative cloud architectures, facilitating the adoption of advanced models that significantly enhanced overall system performance.
• Maintained comprehensive documentation of project developments, ensuring clarity and alignment among stakeholders while supporting continuous project progress.
• Effectively communicated complex technical updates and insights to stakeholders, fostering a collaborative environment and ensuring alignment with project goals.

Master of Science - Data Sciene

August 2025 - December 2026

Data Science Institute, Fu Foundation School of Engineering and Applied Science

Advanced Reinforcement Learning, Generative AI using LLMs, Data Driven Methods in Finance, Applied Deep Learning, Finance and Structuring for Data Science, Machine Learning for Data Science, Statistical Inference and Modelling

Bachelor of Technology - Computer Science and Engineering

October 2021 - May 2025

Department of Computer Science and Engineering, School of Technology

Data Structures and Algorithms, Database Management Systems, Operating Systems, Computer Networks, Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Big Data Analytics, Computer Vision, Information Retrieval, Digital Image Processing

Vice President

2021 - 2024

• Promote membership recruitment and retention by actively engaging with club members, organizing networking activities, fostering a sense of community, and addressing member concerns or suggestions.
• Oversee and coordinate the work of various committees within the club, such as marketing, finance, event planning, or community outreach. Provide guidance, delegate tasks, and ensure progress towards goals.

Technical Head

2022 - 2024

• Assisting in the development and maintenance of the society's website, ensuring that it is user-friendly and up-to-date with relevant information.
• Participating in technical workshops and training sessions to improve their own technical skills and knowledge, and sharing that knowledge with other members of the society.