Profile

Computer Science undergraduate (CGPA: 9.20/10) specializing in backend development, machine learning, and computer vision. Experienced in building and deploying scalable web applications using Django, Flask, and the MERN stack, along with cloud-based AI solutions on AWS and Azure. Proven leadership in ML-Ops for open-source initiatives, with strong foundations in Python, data structures, and applied AI. Passionate about solving real-world problems through reliable, production-grade software systems.

Education

Chitkara University, Punjab

Bachelor of Engineering in Computer Science Engineering
2024 – 2028*

AI & ML Specialization

CGPA: 9.20/10.0

Professional Experience

Web Development Intern (MERN Stack)

Immanent Solutions, Mohali, India
June 2025 – July 2025
  • Developed and maintained full-stack web application features using MongoDB, Express.js, React, and Node.js.
  • Built RESTful APIs and integrated frontend components, focusing on clean architecture and maintainable code.
  • Collaborated with cross-functional teams to design, implement, and deploy scalable software solutions.
  • Participated in debugging, performance optimization, and version control workflows using Git.
  • Leadership & Organisations

    Open Source Chandigarh

    Technical Head (ML-Ops)
    2025 – Present
  • Leading ML-Ops initiatives for open-source projects, focusing on integrating machine learning models into CI/CD pipelines.
  • Worked on model deployment workflows, version control, and reproducibility using Python and cloud platforms.
  • Guided contributors on best practices for machine learning deployment and collaborative development.
  • National Service Scheme (NSS)

    Core Organising Team Member
    2025 – Present
  • Co-organized university-wide social service initiatives, coordinating logistics and managing volunteer teams.
  • Contributed to planning and execution of large-scale community engagement programs.
  • Skills
    Programming Languages

    Python, JavaScript, C++, C, SQL

    Artificial Intelligence & Computer Vision

    OpenCV, MediaPipe, NumPy, Pandas, AWS Rekognition

    Databases

    PostgreSQL, MongoDB, MySQL, SQLite

    Backend & Web Development

    Django, Flask, Node.js, Express.js, React

    Cloud & DevOps

    Amazon Web Services (AWS), Microsoft Azure, Git, GitHub, Linux, Render

    Data Visualization

    Power BI, Matplotlib, Seaborn, Plotly

    Ishardeep Singh
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    Projects
  • Designed and deployed a secure, cloud-hosted attendance platform using Django and PostgreSQL.
  • Integrated AWS Rekognition for real-time facial recognition and identity verification.
  • Built RESTful APIs and authentication workflows to ensure secure and reliable data handling.
  • Deployed the application on cloud infrastructure with a focus on scalability and performance.
  • Developed machine learning models to predict Formula 1 race outcomes and driver performance.
  • Performed data preprocessing, feature engineering, and evaluation on historical race datasets.
  • Identified key performance indicators to generate actionable insights from race data.
  • Built a real-time interactive game using computer vision and hand-gesture tracking.
  • Implemented gesture detection, object interaction, score tracking, and frame-level optimization.
  • Focused on responsiveness and accuracy for real-time user interaction.
  • Developed a secure, user-authenticated digital diary application.
  • Implemented advanced search functionality based on date, mood, and tags.
  • Added mood analytics and structured content management for improved user experience.
  • Led a team in developing a full-stack e-commerce website for sporting equipment.
  • Implemented user authentication, product catalog, cart management, and order workflows.
  • Coordinated frontend and backend integration using Jinja templating.
  • Certificates
    Achievements
  • Semi-Finalist, Build With India (Google) – Top 5,000 teams out of 25,000+
  • Semi-Finalist, Hack With Her 4.0 (IEEE) – Top 30 teams out of 700+
  • Finalist, HackIndia 2025 – Top 50 teams out of 500
  • Led and managed 10+ technical teams across academic projects and national-level hackathons
  • Additional Information
  • Strong foundation in data structures, algorithms, and problem-solving.
  • Actively participates in hackathons, technical communities, and open-source initiatives.
  • Interested in backend systems, applied AI, and large-scale technology platforms.
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