CV

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Contact Information

Name Ahaskar Kashyap
Professional Title CS Student & Researcher
Email ahaskar001@e.ntu.edu.sg

Professional Summary

Computer Science student at NTU Singapore with research interests in robotics, AI agents, and machine learning.

Experience

  • 2025 - 2025

    Singapore

    Full-Stack Developer Intern
    DaxAsia - Crypto Trading Startup
    • Built and launched a real-time React + Firebase dashboard for 150 users, replacing a spreadsheet process and cutting data-update latency from hours to seconds.
    • Reduced support tickets 70% by introducing a self-serve portal for wallet top-ups, referrals and transaction history.
    • Halved admin time-on-task by delivering a role-based control panel (bulk bans, KYC approval, wallet adjustments) backed by Cloud Functions and Firestore triggers.
  • 2024 - 2024

    Kanpur, Uttar Pradesh, India

    Research Assistant
    IIT Kanpur
    • Accelerated system efficiency by 30% by developing an asset management system using Docker, Node.js, and MongoDB, and synthesizing ElasticSearch for better data retrieval.
    • Created and optimized backend APIs for firm’s internal applications by utilizing Node.js and Cron jobs, reduced API response times and improved overall system performance.
    • Contributed to development of SIEM technology, integrating various cybersecurity features and tools, supporting the firm’s goal of advanced threat monitoring and management.
  • 2023 - 2024

    NTU, Singapore

    Vice-President
    Google Developers Students Club
    As Vice President, increased Google Developers Student Club’s visibility by organizing workshops with industry speakers and managing social media, boosting event attendance and online engagement.
    • Led communication for Google Developers Student Club, coordinating workshops with prominent speakers.

Education

  • 2023 - 2027

    Singapore

    Bachelor
    Nanyang Technological University
    Computer Science

Skills

Tools & Programming Languages (): Python, C++, Java, Node.js, React.js, Docker, OpenCV, TensorFlow, Scikit-Learn

Projects

  • 2025 - Present
    Solvd

    AI-powered physics-tutoring platform that converts problems into Manim-animated videos. Shipped MVP in 6 weeks, onboarded 20 beta students in first month. Secured $2.5K non-dilutive grant. Led 3-person cross-functional team with agile sprints.

  • 2023 - 2024
    EchoEase

    Improved Asthma/COPD detection accuracy by 93% through training Azure AutoML’s VotingEnsemble on clinic-sourced cough datasets. Developed Android app integrating ensemble ML models for real-time respiratory assessment.

  • 2024 - 2024
    Kyodo

    Local-language coding platform addressing language barriers in coding education. Achieved 50% preference rate in post-pilot surveys. Led team of 20, partnered with state government to implement in 4 schools (900+ students engaged).

  • codex (StackFlow)

    AI coding assistant with natural-language queries, Qwen 2.5-Coder & Stack Overflow support.

  • ColPali-Vision RAG

    RAG system based on vision models.

  • Hospital DBMS

    Full hospital database management system.

  • crawl4ai

    AI-powered web scraper & query system.

  • Tele RAG Bot

    RAG application via Telegram bot.

  • Pydantic Web Search

    Web-search agent using Brave API & Pydantic.

  • 2024 - 2025
    CodeLit (AI Project YouTube Channel)

    Built 15+ AI agent projects (LLM coding assistant, Vision/Telegram RAG, web search) with 18K+ total views. Published open-source repos and prototyped multimodal RAG + agentic AI workflows with interactive demos. Enabled 200+ developers to replicate and adapt workflows.