sai keerthana sandhiri

No mistakes, just intelligent iterations.
About Me

About Me Image

Hi, I'm Keerthana! I am a CS graduate specializing in Artificial Intelligence and Machine Learning. My work lies at the intersection of data, innovation, and human potential.

I enjoy designing models that uncover patterns, improve decisions, and extend what technology can do for society. Whether I’m working on medical image analysis, underwater visual restoration, or predictive modelling, I’m driven by curiosity and a desire to turn complex problems into elegant computational solutions.

I’m especially fascinated by the space where biology meets AI. Understanding how the brain encodes information inspires the way I think about learning systems, representation, and interpretability.

skills

[ PROGRAMMING ]

Java, Python, C, OOP and Functional Programming

[ MACHINE LEARNING & AI ]

R, Scikit-learn, PyTorch, Tensorflow, Keras,
Data Preprocessing, Feature Engineering, Transfer Learning

[ WEB DEVELOPMENT ]

HTML, CSS, JavaScript, SQL, Bootstrap, PHP

[ DEVELOPMENT & TOOLS ]

GitHub, Git, Jupyter, VS Code,
Docker, Flask, Streamlit

[ PRODUCTIVITY & MANAGEMENT ]

Notion, Miro, Microsoft Office, Canva

[ PROFESSIONAL ]

Researching, Report Writing, Business Communication

experience

Data Manager - UpTempo Global Inc. (Nov, 2025 - Present)

    ● I support multilingual data pipelines and dataset organisation for analytical workflows within a globally distributed technical team.

Machine Learning Intern – Pixil AI (Jan - March, 2025)

    ● Developed and fine-tuned transformer-based NLP models for classification and text analytics using Python and HuggingFace.
    ● Enhanced feature engineering pipelines and evaluation workflows, improving model robustness and deployment readiness.

Remote Trainee & Research Intern – IIIT Hyderabad (Aug, 2023 - May, 2024)

    ● Completed a full-year traineeship under the Foundations of Modern Machine Learning program, working on ML theory and applied projects.
    ● Strengthened analytical and model-building skills through hands-on assignments involving data preprocessing, model training, and evaluation.

Research Intern – All India Council for Technical Education (July - Aug, 2022)

    ● Contributed research on integrating Vedic Mathematics with computational models as part of the AICTE-IKS (Indian Knowledge Systems) initiative.
    ● Co-authored a national report exploring AI applications in traditional knowledge systems and educational innovations aligned with National Education Policy (NEP 2020).
projects

Hyper-Resolution in Underwater Imaging 🔗

  • Built a GAN-based Hyper-resolution Generative Framework (HGF) for underwater image restoration.
  • Improved clarity & texture fidelity by 13% over strong baselines.

Canine Breed Classifier 🔗

Parkinson’s Disease Progression Prediction 🔗

  • Achieved 98% accuracy predicting clinical Parkinson’s stages using MLP + feature engineering
  • Processed 5,000+ medical datapoints for disease progression modelling.


More projects here.

certifications & courses

AI & ML Courses

Foundations of Modern Machine Learning – IIIT Hyderabad (Grade A)

Introduction to Artificial Intelligence – University of Helsinki

Data Science, AI & ML Bootcamp – Zero To Mastery

Generative AI – Google & GUVI SAWiT.AI


Industry Certifications

Artificial Intelligence with Machine Learning – Oracle Academy

Introduction to Java Programming – Oracle Academy

Effective Writing – IIT Roorkee (Silver Medallist)


You can check out the other things I do here.

[ DEBATING ]

I thrive on the thrill of competition and the exhilaration of articulating ideas;and participating in MUNs, quizzes, and science fairs. I also love crafting scripts and anchoring events, weaving narratives that captivate my audience.

[ HACKATHONS ]

I've participated in various hackathons such as Smart India Hackathon, Geenovate and Boeing Build 3.0, where I collaborated with teams to develop innovative solutions. You can check out my latest quiz experience at the Gobal AI Summit on LinkedIn here. I also enjoy mentoring juniors, guiding them through their projects and fostering their growth.

[ LEADERSHIP ]

As a core member of the Student Council, I bridge students and administration, ensuring that our voices resonate like ripples in a pond. Additionally, as President of the Design Thinking Club, I curate workshops that spark creativity and innovation, hosting events that inspire my peers to think beyond the conventional.

[ READING ]

I enjoy exploring new ideas through books and poetry, with a particular interest in mythology and history. It helps me gain insights into different cultures and philosophies, enriching my perspective on the world.

[ !COMPUTATIONAL BIOLOGY AND NEUROSCIENCE? ]

My fascination with computational biology and neuroscience ignites a curiosity akin to unravelling the mysteries of the universe. I’m deeply interested in the intersection of neuroscience and AI, especially topics like fMRI, perception and information encoding. Researchers like Andrew Huberman and David Eagleman inspire how I think about cognition and learning systems.

Thank you for your time.
You can reach me via keerthanasandhiri@gmail.com

Let's connect and collaborate!