Abhidutta Mukund Giri

Computer & Communication Engineering Student | AI Researcher

Passionate about Medical AI, Edge Computing, and Building Innovative Solutions

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About Me

I'm a Computer and Communication Engineering student at Manipal Institute of Technology with a passion for Medical AI, Edge Computing, and innovative research. As a co-founder of Innotech Manipal, I work on developing automation algorithms for complex cell data analysis, enhancing data processing speed for transcription, genomics, and cell therapy applications.

Currently, I'm working as a Medical AI Researcher at the Center for Advanced Scientific and Industrial Research, where I'm developing multi-modal classification models for red-blood cell morphology classification and building comprehensive software suites for clinical diagnosis.

2+
Years Experience
5+
Projects
3
Hackathons

Experience

Medical AI Researcher

August 2025 – Present
Center for Advanced Scientific and Industrial Research, School of Computer Engineering — MIT, Manipal

Implemented Label-free Image Segmentation Model for Clinical Data and prepared Annotation dashboard for Haematologists to Annotate Segmented Images of Cells.

  • Implemented Label-free Image Segmentation Model for Clinical Data and prepared Annotation dashboard for Haematologists to Annotate Segmented Images of Cells.
  • Currently Developing multi-modal Classification model for red-blood cell morphology classification
  • Architected the pipeline from uploading blood smear images captured using Brightfield microscopy to segmenting, classifying various morphologies of red blood cells and identifying non-normal cells in a comprehensive software suite enabling ease and effectiveness in clinical diagnosis

Co-founder, Researcher & Management Committee Member

March 2024 – Present
Innotech Manipal — Manipal

Co-founded Manipal's first multidisciplinary student-centered research initiative, uniting students in biotechnology, computer science, IT, AI / ML, electronics and VLSI design.

  • Co-founded Manipal's first multidisciplinary student-centered research initiative, uniting students in biotechnology, computer science, IT, AI / ML, electronics and VLSI design.
  • Currently focused on developing automation algorithms to manage and analyze complex cell data, aimed at enhancing data processing speed and providing detailed insights for transcription, genomics, and cell therapy.

Projects

AR‑Assisted Surgical Diagnostics on Private 5G Edge Network

April 2025 - July 2025

Designed and prototyped an AR‑enabled surgical diagnostics workflow using private 5G to stream high‑resolution slide images with minimal latency to an on‑premise edge node for real‑time AI inference.

  • Designed and prototyped an AR‑enabled surgical diagnostics workflow using private 5G to stream high‑resolution slide images with minimal latency to an on‑premise edge node for real‑time AI inference.
  • Implemented a lightweight U‑Net segmentation model on the edge server to spot tumor regions, achieving end‑to‑end inference and overlay update.
  • Built a tablet‑based AR interface with fiducial marker tracking (OpenCV) to align AI segmentation overlays in the clinician's field of view, supporting on‑the‑fly adjustments.
  • Engineered a six-stage integration pipeline—capture, pre-processing, edge inference, post-processing, AR rendering, and feedback loop—ensuring secure on‑premise data flow and incremental model retraining from user corrections.
Tools & Technologies: Python, PyTorch (U‑Net), OpenCV, Docker, RESTful APIs, Unity (AR SDK), private 5G emulator, SQLite

Catalyst Recommender

May 2025

Developed a serverless cross-domain recommendation system on AWS that unifies user preferences across Prime Video, Kindle, and Amazon Music by mapping books, movies, and music into a shared semantic embedding space.

  • Developed a serverless cross-domain recommendation system on AWS that unifies user preferences across Prime Video, Kindle, and Amazon Music by mapping books, movies, and music into a shared semantic embedding space.
  • Leveraged Kinesis, Lambda, Glue, SageMaker, DynamoDB, Redis, and API Gateway to ingest, process, train, and serve real-time personalized recommendations (sub-200ms P99 latency).
  • Achieved > 75% cross-domain accuracy and drove a projected 30% uplift in multi-service engagement through context-aware and social-first features.
Tools & Technologies: Python, Jupyter Notebooks, AWS Kinesis, Lambda, Glue, SageMaker, DynamoDB, Redis, API Gateway

Health Data Management and Informatics System

January 2025 - March 2025

Developed a full‑stack Hospital Management System with PHP and MySQL, featuring patient registration, secure session‑based login, doctor directory, and AJAX‑driven appointment booking workflows.

  • Developed a full‑stack Hospital Management System with PHP and MySQL, featuring patient registration, secure session‑based login, doctor directory, and AJAX‑driven appointment booking workflows.
  • Architected a normalized relational schema (administrators, doctors, patients, appointments, contacts) with foreign‑key constraints and transaction integrity, and implemented an MVC‑inspired PHP structure using reusable includes, prepared statements, and session authentication.
  • Built a responsive frontend with Bootstrap and custom SASS theming, integrating FullCalendar.js for availability calendars, interactive data tables, date‑range reporting, and full CRUD operations in the admin dashboard.
Tools & Technologies: PHP, MySQL, JavaScript (jQuery, AJAX), HTML5, CSS3 (Bootstrap, SASS), FullCalendar.js, Git/GitHub

Education

Bachelor of Technology in Computer and Communication Engineering

July 2023 – Present
Manipal Institute of Technology

Grade XII Diploma

June 2021 - March 2023
Canara Pre-University College

Hackathons

CodeBot Hackathon (2025)

ARTPark @ IISc, Bangalore Finalist

Hackon with Amazon, Season 5 (2025)

Semi‑Finalist

Hack to Future 2025

Karnataka Law Society's Gogte Institute of Technology, Belgaum Finalist

Certifications

Introduction to Data Science

IBM (Coursera)

Foundations of Cybersecurity

Google (Coursera)

Technologies

Programming

PythonCC++JavaRHTMLCSSJavaScriptKotlinC#

Libraries

PandasNumPyScikit-learnTensorFlowSeabornMatplotlibPyTorchKerasSciPy

AI & Machine Learning

Large Language Models (LLMs)Fine-Tuning LLMsPrompt EngineeringNeural Networks & TransformersMachine Learning (ML) FundamentalsDeep Learning FrameworksModel Optimization & Deployment

Software Engineering

Object-Oriented Programming (OOP)Software DevelopmentVersion Control (Git & GitHub)Modular & Extensible System Design

Data Processing & Analysis

Data Preprocessing & CleaningData Processing PipelinesHandling Structured & Unstructured DataData Analysis & Visualization

Cloud & DevOps

Cloud Computing (AWS, Azure)Containerization (Docker)Model Deployment in Cloud EnvironmentsCI/CD for AI Workflows

Operating Systems

WindowsLinux (Kali, Arch, Ubuntu & Debian)Android

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Location

Mangalore, India

Send me a message