About
VarunMenon
I'm intoMachine Learning, Software Development & Data Science!
About
My professional journey is deeply influenced by my interests in machine learning, software development, and data science. These fields represent the pillars of my expertise, enabling me to design and implement solutions that are not only technologically advanced but also strategically sound and creatively inspired. It's at this intersection where I find the most excitement and fulfillment in my work.
Education
Education
Education
Master of Science - Software Engineering
Arizona State University
GPA 3.78
Bachelor of Technology in Computer Science
Dayananda Sagar University
GPA 8.9
Experience
Experience
Experience
AI Engineer Intern
Boson Motors, USA
- Developed an innovative AI system aimed at the early detection of maintenance needs in Light Utility Vehicles (LUVs). This proactive approach was key in reducing unscheduled downtimes and extending the operational life of the vehicles, thereby ensuring reliability and efficiency in their usage.
- Created a path-finding algorithm leveraging OpenCV, designed to guide LUVs safely through challenging terrains. This algorithm was particularly effective in agriculture, where it ensured the safe passage of vehicles by accurately measuring space availability and navigating around obstacles like trees.
- My work directly contributed to the agricultural sector by enabling LUVs to perform more reliably and navigate more accurately in various farming environments. This not only improved the efficiency of agricultural operations but also minimized the risk of vehicle damage in complex landscapes.
Software Engineer Intern
HashedIn by Deliotte, India
- Led the development of multiple client-oriented products as a fullstack developer, skillfully integrating the frontend built with React and Redux with backend services crafted using NodeJS, GraphQL, and ExpressJS, thereby delivering seamless and dynamic user experiences.
- Implemented a sophisticated database connection for a web application to AWS DynamoDB, leveraging ExpressJS for backend connectivity. This initiative not only enhanced the application's data handling capabilities but also ensured scalable, secure, and efficient access to persistent storage, contributing significantly to the application's robustness and reliability.
Research Assistant
Dayananda Sagar University
- Spearheaded the development of an innovative Bone Age Analysis model, under the guidance of Dr. Girisha GS, that is capable of accurately predicting bone age from targeted areas within left-hand radiographs. This model set a new benchmark in precision, surpassing the capabilities of existing methodologies by a considerable margin.
- Pioneered the adoption of Depth-wise Separable Convolution within the neural network framework for the model. This strategic choice markedly reduced computational demands, facilitating a more efficient analysis process without compromising on accuracy or effectiveness.
- Addressed and mitigated the limitations commonly associated with ReLU and Sigmoid activation functions by integrating the Swish activation function into the model's architecture. This adjustment significantly enhanced the model's performance, particularly in terms of handling nonlinearities and improving gradient flow during backpropagation.
- Authored and presented a paper at the ICSES 2021, an esteemed IEEE international conference, showcasing the work on "Automatic Bone Age Assessment of Radiographs using Deep Learning". This publication not only highlighted the technical advancements made in the project but also contributed valuable insights to the academic community, fostering further research in the domain.
Machine Learning Engineer Intern
Saaragh Technologies Pte Ltd, Singapore
- Led the development of advanced AI models for detecting lung and colon cancer, focusing on achieving optimal precision and recall to meet medical industry standards. My efforts were instrumental in maintaining the model size below 100Mb, ensuring efficiency without sacrificing accuracy.
- Engineered a complex Warehouse Management System utilizing OpenCV and FFmpeg to track real-time package movements. This innovation significantly improved logistics operations, showcasing my ability to apply AI in practical, industry-specific challenges.
- Expedited the creation of forklift, box, and rust detection models within a tight one-week deadline, demonstrating my proficiency in rapid development and deployment. Successfully integrated these models into the Google Cloud Platform using Flask, highlighting my skills in cloud technologies and AI application deployment.
Software Testing and Analyzing Intern
Peruvemba Service Co-op. Bank, India
- Performed Stress Testing, Performance Testing, Functional Testing, and Scalability Testing to ensure optimization of software.
- Ran manual and automated tests to debug issues faced by systems during specific tasks.
Certificates
Certificates
Certificates
OCI 2024 Generative AI Certified Professional
This certificate demonstrates proficiency in Oracle Cloud Infrastructure, focusing on Large Language Models, Retrieval-Augmented Generation, Semantic Search, Vector databases, and LangChain for building and deploying LLM applications.
AWS Certified Cloud Practitioner
This certificate verifies the understanding of IT services and their uses in the AWS Cloud.
Google Cloud Platform Big Data and Machine Learning Fundamentals
This certificate verifies the completion of the GCP Big Data and ML Fundamentals.
Object-Oriented Data Structures in C++
This certificate verifies the completion of Data Structure in OOPs with C++.
AWS Fundamentals: Migrating to the Cloud
This certificate verifies the completion of the AWS Fundamentals course, focusing on migrating to the cloud with AWS.
AWS Fundamentals: Going Cloud-Native
This certificate verifies the completion of the AWS Fundamentals course, focusing on cloud-native applications with AWS.
AWS Fundamentals: Addressing Security Risk.
This certificate verifies the completion of the AWS Fundamentals course, focusing on addressing security risks.
AWS Fundamentals: Building Serverless Applications
This certificate verifies the completion of the AWS Fundamentals course, focusing on building serverless applications with AWS.