About

I am a Computer Science undergraduate passionate about deep learning, computer vision, and natural language processing. My work focuses on building efficient, reproducible pipelines for research and production—optimizing for latency and reliability while keeping code and experiments traceable. I enjoy collaborative research and practical system-building.

Profiles

Shriniwas Maheshwari — Computer Science Undergraduate

Computer Science undergrad focused on deep learning, computer vision, and NLP. Python-first. Seeking roles building applied AI systems.

About

Hello! I'm Shriniwas, a CS undergraduate building applied AI systems with a focus on deep learning for vision and NLP. I prioritize reproducible training pipelines, low-latency deployment, and practical engineering that moves models from research into production. I enjoy mentoring, teaching, and collaborating on projects that create measurable impact.

Technologies

Python • PyTorch • TensorFlow • OpenCV • NLP (spaCy/NLTK) • Docker • Git • SQL

Get in touch: see Contact section below or connect via the LinkedIn / GitHub links in the Contact area.

Skills

Languages

  • Python
  • C++
  • SQL
  • MATLAB

DL frameworks

  • TensorFlow
  • PyTorch
  • Keras
  • Caffe

Libraries & tools

  • NumPy, Pandas
  • scikit-learn
  • OpenCV, NLTK
  • Git, Docker

Projects

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Experience

  • AI Research Intern, Centre of AI, MANIT Bhopal (Sep 2025–present)

    Hybrid models across four benchmarks, weekly presentations, reproducible training pipelines, internal reports.

  • AI Intern, BOSTON-RVCE CoE in AI RnD, Bengaluru (Nov 2023–Dec 2023)

    ARIMA for COVID time series, weekly presentations.

Currently focused on applied AI research, reproducible model pipelines, and deploying low-latency vision & NLP systems. Open to collaborations, internships, and research partnerships — reach out via email or GitHub.

Education

  • B.E. CSE, R.V. College of Engineering, Bengaluru (Aug 2022–May 2026)
  • Minor in Modern Machine Learning, IIIT Hyderabad (Aug 2025–May 2026)
  • High School, Campion School, Bhopal (Aug 2020–May 2022)

Publications

  • Ensuring Data Integrity: Blockchain-based Healthcare Applications in the Cloud. (IEEE Xplore link in site)
  • The Role of Synthetic Data in AI Model Training. (IJSREM link in site)

Certifications

  • AWS Certified Solutions Architect – Associate
  • Deep Learning for Computer Vision Application, CSIR Skill Program
  • NPTEL: Edge Computing; Data Science for Engineers
  • IIT Kharagpur AI4ICPS and TCS iON: Hands-on AI

Memberships

IEEE Student Member, ACM Student Member

Community

I have been actively involved in community outreach and service, focusing on education and environmental initiatives in rural towns and cities.

  • Teaching: Conducted classes and hands-on workshops for students in rural areas to introduce programming, basic ML concepts, and Python-first practices.
  • Rotaract Leadership: Led community service activities with the Rotaract Club, coordinating volunteer teams and local partners.
  • Drives & Events: Organized and participated in cleaning drives, plantation drives, and local awareness campaigns.
  • Mentorship: Mentored students on reproducible training pipelines, project-based learning, and pathways into applied AI roles.

If you'd like to collaborate on community outreach, workshops, or volunteer events, please reach out via the Contact section.

Contact

LinkedIn GitHub Credly