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Master's

University of California San Diego

Computer Science (AI Specialization)

• Statistical NLP, Computer Vision I, AI Agents, ML Systems, Software Engineering, Algorithm Design and Analysis, Machine Learning for Robotics, Medical Image Computing

Postgraduate Diploma

Ashoka University

Computer Science and Physics

• Capstone Project in PPML, Advanced Machine Learning, Advanced Algorithms, Database Management Systems, Blockchain and Cryptocurrencies

Bachelor's

Ashoka University

Computer Science

• Intro to Machine Learning, Advanced Programming, Algorithm Design and Analysis, Distributed Systems, Operating Systems, Computer Networks, Computer Security and Privacy, Theory of Computation

Machine Learning Intern

Melio

• Architected a modular GCP Vertex AI training pipeline to migrate legacy notebook code into decoupled, containerized modules, accelerating experimentation and cross-team feedback loops by 20%.
• Engineered a model-agnostic architecture to enable multi-model support for rapid development, leveraging Vertex AI Experiments for automated performance tracking and versioning.

Data Scientist

Vayana Network

• Optimized distributed data pipelines with PySpark on AWS EMR/S3 to process millions of invoices, reducing ETL latency by 20% and improving analytics reliability.
• Developed a Business Network Analysis platform using NetworkX and community detection algorithms, identifying high-value customers and contributing to 15% business growth.
• Designed and deployed a Management Information System (MIS) with Apache Superset for real-time reporting, improving cross-functional decision-making by 15%.
• Spearheaded an Entity Resolution system using NLP-based vectorization and blocking techniques to deduplicate company records, improving data accuracy by 30% through scalable string-matching algorithms.
• Developed rapid proofs-of-concept (PoCs) to evaluate emerging ML technologies and architected ad-hoc data solutions, driving operational agility and data-informed strategic decision-making.

Data Science Intern

Ageless Partners

• Led the design and prototyping of a wearable-based fitness recommendation system, coordinating a team of 3 interns to develop a personalized engine that improved user engagement and retention by 20%
• Applied causal inference and statistical modeling using Python and Plotly to identify key drivers of user health outcomes, enhancing de-aging research insights by 15%

Graduate Student Researcher

University of California San Diego

• Researching uncertainty quantification for medical image registration; investigating predictive uncertainty vs.registration error via supervised error regression using TorchIO synthetic deformation.

Capstone Project in PPML

Ashoka University

• Advisors: Professor Mahavir Jhawar and Professor Debayan Gupta
• Researched secure multi-party computation (MPC) techniques to enable privacy-preserving neural network training across distributed systems.
• Implemented SecureNN protocols in C++ and analyzed their effectiveness in ensuring data privacy and computational efficiency for real-world, data-sensitive applications.

Research Intern

Mphasis Lab, Ashoka University

• Advisor: Professor Mahavir Jhawar
• Researched and implemented Privacy-Preserving Machine Learning (PPML) protocols such as SecureML and BLAZE in C++, evaluating each protocol’s efficiency and security for sensitive datasets.
• Co-led the development of a secure, optimized PPML protocol for business-specific needs under Prof. Mahavir Jhawar’s guidance, improving the protocol’s reliability and applicability for real-world solutions.

Independent Study Module in Applied Cryptography

Ashoka University

• Advisor: Professor Mahavir Jhawar
• Examined and evaluated the security vulnerabilities in email clients that support the two primary forms of end-to-end email encryption: OpenPGP and S/MIME.
• Illustrated the attacks on various email clients outlined in the Mailto: Me Your Secrets paper and suggested countermeasures against them.

Independent Study Module in Secure Machine Learning

Ashoka University

• Advisor: Professor Debayan Gupta
• Studied the impact of adversarial attacks such as Data Poisoning and Model Evasion on the performance and reliability of machine learning (ML) models.
• Demonstrated the attacks in the Subpopulation Data Poisoning Attacks paper to understand the impact of poisoning attacks on real-world machine learning models.

Teaching Assistant

Pol Sci Department, UC San Diego

• Theories of Technology and National Security (Poli 145), Spring 2026, Prof. Michael F. Joseph, Class Size: 180. Tasks: hold office hours, grade assignments and exams, and assist students with technological concepts (both old and emerging) and their impact on state security.
• Political Inquiry (Poli 30D), Fall 2025, Prof. Scott Desposato, Class Size: 210. Tasks: conduct weekly discussion sections, hold office hours, grade assignments and exams, and assist students with statistical concepts and STATA.

Teaching Assistant

CS Department, Ashoka University

• Discrete Mathematics (CS-1104), Spring 2021, Prof. Subash Bhalla, Class Size: 100. Tasks: holding weekly office hours, setting and grading assignments and test papers, and facilitating online lectures.
• Probability & Statistics (CS-1208), Monsoon 2020, Prof. Mahavir Jhawar, Class Size: 80. Tasks: holding weekly office hours, grading assignments and test papers, and facilitating online lectures.

STEM Facilitator

Maa Anandmayee Memorial School

• Partnered with MakersBox Delhi to establish a STEM lab at the school by leading equipment selection, procurement, and setup while teaching students hands-on projects in cutting-edge technologies like Robotics, IoT, VR, and Lego.

Bronze Medal

CS Awards, Ashoka University

Awarded for being ranked third in my batch during my PG Diploma degree.

Silver Medal

CS Awards, Ashoka University

Awarded for being ranked second in my batch during my undergraduate degree.

Dean's List

Office of Academic Affairs, Ashoka University

Appeared on the Dean's List: Monsoon'18, Spring'19, Monsoon'19, Spring'20, Monsoon'20, Spring'21, Monsoon'21, and Spring'22.

Resident Assistant

Ashoka University Resident Assistants

• Managed a residence floor of 70 students, supporting their academic and personal needs while fostering community through team-building and wellness events.

Peer Mentor

Office of Learning Support (OLS), Ashoka University

• Mentored an undergraduate student on academic and career decisions, providing guidance on course selection, research opportunities, and professional development.

Team Member

Ashoka University Volleyball Team

• Represented Ashoka University in inter-collegiate volleyball tournaments, competing as part of a team across multiple university-level competitions.

Events Team and Member

Ashoka University International Student Association (AUISA)

• Co-organized Ubuntu, an inter-collegiate cultural festival, for two consecutive years, alongside various other cultural and educational events on campus, bringing together international and domestic students to foster cross-cultural exchange and community building.