cv

Basics

Name Kuber Shahi
Email kshahi@ucsd.edu
Url https://kubershahi.github.io/
Summary Machine Learning & Software Engineer with 3+ years of experience architecting scalable AI and data systems. Currently advancing my AI Systems expertise at UC San Diego with a focus on high-impact ML and Software Engineering

Education

  • Sep 2024 - Present

    La Jolla, California

    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
  • Jun 2021 - May 2022

    Sonipat, India

    Postgraduate Diploma
    Ashoka University
    Computer Science and Physics
    • Capstone Project in PPML, Advanced Machine Learning, Advanced Algorithms, Database Management Systems, Blockchain and Cryptocurrencies
  • Jun 2018 - May 2021

    Sonipat, India

    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

Work

  • Aug 2025 - Dec 2025
    Machine Learning Intern
    Melio Tech
    • 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.
  • Jun 2022 - May 2024
    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.
  • Nov 2021 - Mar 2022
    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%
  • Aug 2021 - May 2022
    Resident Assistant
    Ashoka University Resident Assistants
    • Managed a residence floor of 70 residents by assisting them with their academic, personal, and logistical issues on/off campus.
    • Created a safe, healthy, and comfortable learning environment on the floor by organizing team-building and wellness events for the residents.
  • Jun 2020 - Sep 2022
    Web Developer
    Techvik Blog
    • Redesigned and remodeled the platform’s website on WIX, increasing the user traffic by up to 20 %.
    • Optimized the website’s load time and increased its SEO performance by 30 % through media optimization and extensive keyword tagging.

Research

  • Jun 2025 - Present
    Graduate Student Researcher
    University of California San Diego
    • Investigating planning methods for LLM-based travel planning agents, with a focus on evaluating external planner integration for improving multi-step reasoning and constraint handling.
  • Aug 2021 - Dec 2021
    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.
  • May 2021 - Aug 2021
    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.
  • Jan 2021 - May 2021
    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.
  • Jan 2021 - May 2021
    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

  • Sep 2025 - Dec 2025
    Teaching Assistant
    Pol Sci Department, UC San Diego
    • 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.
  • Aug 2020 - May 2021
    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.
  • Jun 2019 - Jul 2019
    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.

Skills

Programming Languages Python, C/C++, JavaScript, SQL (NoSQL), R, Shell Scripting (Bash), HTML/CSS, MATLAB
Machine Learning & AI PyTorch, TensorFlow, LLMs, Hugging Face, LangChain, Scikit-learn, Pandas, NumPy, NLP, Computer Vision, Causal Inference
Data & Distributed Systems Apache Spark, Hive/Hadoop, ETL, GCP (Cloud Storage, Vertex AI), AWS (S3, EC2, Lambda), MySQL, PostgreSQL, MongoDB
Software & Infrastructure React.js, Node.js, Django, CI/CD, Git, Kubernetes, Docker, Linux, Selenium
Analytics & Visualization Apache Superset, Power BI, Plotly, Dash, Statistical Data Analysis
Professional Skills Project Management, Technical Communication, Problem Solving, Analytical Thinking, Team Leadership, Cross-functional Collaboration

Certificates

Machine Learning
Stanford University Oct 2021
HTML, CSS, and JavaScript for Web Developers
Stanford University Jul 2020

Awards

  • Jun 2022
    Bronze Medal
    CS Awards, Ashoka University
    Awarded for being ranked third in my batch during my PG Diploma degree.
  • Jun 2021
    Silver Medal
    CS Awards, Ashoka University
    Awarded for being ranked second in my batch during my undergraduate degree.
  • May 2022
    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.

Volunteer

  • Jan 2021 - May 2021
    Peer Mentor
    Office of Learning Support (OLS), Ashoka University
    • Provided needed guidance and support to an assigned mentee.
    • Helped him to make academic and career decisions by providing meaningful insights and responses to his queries.
  • Feb 2020
    IT Support
    IT Team, Ashoka University Election Commission 2020
    • Served as a member of the IT support team, providing troubleshooting and acting as the primary point of contact for any issues related to the online election website.

Languages

English
Bilingual Proficiency
Nepali
Native Proficiency
Maithili
Native Proficiency
Hindi
Full Professional Proficiency