Omkar Nayak

Hi, I'm Omkar Nayak.

A Scientist

Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving complex and challenging real-world problems.

About

I am a Mathematis and Computer Science Student at the University of Michigan - Ann Arbor. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Flask, MySQL, PostgreSQL, HTML5, CSS, Java, C++ and I have 19 months of professional work experience which helped me strengthen my experience in Python and Mathematics. I am passionate about developing complex applications that solve real-world problems impacting millions of users.

Languages: Python, MATLAB, C, C++, JavaScript, HTML/CSS, Bash
Databases: MySQL, PostgreSQL, MongoDB
Libraries: PyTorch, TensorFlow, SciPy, MLflow, OpenCV, Scikit-learn, Keras, PyTorch Geometric
Frameworks: Flask, Django, Node.js, Apache
Tools & Technologies: Git, Docker, AWS, GCP

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Zhou lab @University of Michigan

Research Assistant

Authored a computational biology paper on developing Large Language Models to enhance phenotype recognition from EHR data
Integrated RAG with the PubMed Central API in the backend to reduce hallucinations and conducted bias testing.
Implemented software using the Agile development on the HIPPA regulated HPC cluster and installed/complied bespoke software using Bash while employing information security methods to protect sensitive medical data.
Tools: Python, LangChain, PubMed Central API, PyTorch, Scikit-learn, Bash

August 2024 - Present | Ann Arbor, Michigan

Suuchi

Machine Learning Engineering Intern

Deployed Predictive Modeling using Lightwood and Hugging Face models on Docker to develop 5+ proprietary ML Models.
Analyzed information using the internal database and integrated ML models into the SAAS platform services of ”Suuchi GRID”, resulting in a 27% increase in orders.
Tools: Python, MindsDB, Hugging Face, Lightwood, PyTorch, Apache Superset, Docker, PostgreSQL

May 2024 - November 2024 | Jersey City, New Jersey

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.