I am a Computer Science (Artificial Intelligence) undergraduate with a strong interest in quantitative machine learning, financial markets, and data-driven research. My work emphasizes statistical reasoning, modeling assumptions, and experimental validation over black-box approaches.
I am a Computer Science (Artificial Intelligence) undergraduate with a strong interest in quantitative machine learning, applied AI research, and data-centric system design. My approach emphasizes understanding data distributions, modeling assumptions, and experimental validation rather than treating machine learning as a black box.
I have hands-on experience building end-to-end systems, designing backend architectures, and working with structured data at scale. This allows me to connect modeling decisions with deployment realities, performance trade-offs, and system reliability.
I am particularly interested in roles that sit at the intersection of machine learning research and real-world decision-making, where rigor, clarity, and measurable impact matter.
Download ResumeNovember 2025 - Present
Stay Tuned
I'm currently building my professional experience through academic projects and personal initiatives. Stay tuned for updates as I begin my career journey in the tech industry!
View My ProjectsInvestigates event-driven and signal-processing–inspired approaches to identify sudden market anomalies faster than traditional time-series models, with a focus on modeling assumptions and experimental validation.
Designed a data-centric backend system emphasizing schema design, indexing strategies, and analytical querying to support scalable text analytics and measurable performance improvements.
Built a serverless data pipeline using managed cloud services to explore latency, scalability, and cost trade-offs in real-time analytical workloads.
B.Tech in Computer Science - Artificial Intelligence
July 2023 - July 2027 (Expected)
Ranked among the top engineering colleges in India with world-class facilities
Comprehensive curriculum covering cutting-edge technologies and computer science fundamentals
Active participation in hackathons, coding competitions, and technical festivals
GPA: 8/10 (Current)
Relevant coursework: Data Structures & Algorithms, Machine Learning, Database Management Systems (DBMS), Probability & Statistics, AI/ML
IBM (Coursera)
Issued: June 2025
Yale University (Coursera)
Issued: January 2026
I'm always open to new opportunities, collaborations, and discussions. Feel free to reach out through the form or connect with me via the following channels.
