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The Evolution of AI: Beyond the Hype

As we witness the rapid advancement of artificial intelligence, it's crucial to distinguish between genuine progress and marketing hype. While Large Language Models have shown impressive capabilities...

The Evolution of AI: Beyond the Hype

As we witness the rapid advancement of artificial intelligence, it's crucial to distinguish between genuine progress and marketing hype. While Large Language Models have shown impressive capabilities in natural language processing and generation, we must understand their limitations and potential.

The real breakthrough in AI isn't just about creating more sophisticated models, but about developing systems that can truly understand context, causality, and demonstrate reliable reasoning. We're seeing promising developments in areas like few-shot learning and multimodal AI, but we're still far from achieving artificial general intelligence.

Human-AI Interaction: Building Trust and Understanding

The way humans interact with AI systems is evolving rapidly. From voice assistants to code completion tools, we're developing new patterns of interaction...

Human-AI Interaction: Building Trust and Understanding

The way humans interact with AI systems is evolving rapidly. From voice assistants to code completion tools, we're developing new patterns of interaction that require both technical sophistication and human-centered design thinking.

The key challenge lies in creating AI systems that are not just powerful, but also transparent and trustworthy. Users need to understand what AI can and cannot do, and feel confident in their interactions with these systems.

AI in Healthcare: Transforming Patient Care

Healthcare is undergoing a radical transformation through AI integration. From diagnostic assistance to personalized treatment plans...

AI in Healthcare: Transforming Patient Care

Healthcare is undergoing a radical transformation through AI integration. From diagnostic assistance to personalized treatment plans, AI is enhancing medical professionals' capabilities while improving patient outcomes.

Machine learning models are now capable of detecting diseases from medical imaging with accuracy rivaling human experts. But the real promise lies in predictive healthcare - using AI to identify potential health issues before they become serious, enabling preventive intervention.

About Me

I am a Computer Science engineer with expertise in software development and research. I graduated with a Master of Science in Computer Science from Cleveland State University in May 2023, and previously completed my undergraduate studies at Manipal Institute of Technology in 2019 with a major in CS and a minor specialization in Big Data.

Currently, I am working as a Software Engineer at The Ohio State University's ICICLE AI Institute, where I focus on AI and software development.

Experience

The Ohio State University, ICICLE AI Institute

Software Engineer, AI

Jan 2025 - Present

Columbus, OH, United States

  • Python
  • OpenAPI v3
  • Docusaurus
  • REST APIs
  • Kubernetes
  • Linux
  • PostgreSQL
  • HuggingFace
  • GitHub
  • GitHub Actions

Computech Corporation

Software Engineer, Python backend

Sep 2023 - Jan 2025

Detroit, MI, United States

  • Django Rest Framework
  • REST APIs
  • Data Analysis
  • RabbitMQ
  • PostgreSQL
  • MongoDB
  • SSO with Open ID OAuth 2.0 using Azure Entra ID
  • Celery Asynchronous task development
  • Data encryption and encoding using Fernet and JWT
  • Linux

Skillnet Solutions

Software Engineer

June 2023 - Aug 2023

Twinsburg, OH, United States

  • Python
  • Java
  • Springboot
  • REST APIs
  • React
  • MS SQL Server
  • Linux

Medical Mutual

IT Intern Summer 2022

May 2022 - Aug 2022

Brooklyn, OH, United States

  • Groovy Scripting
  • Jira
  • Data Analysis
  • Dashboard development

ICAS Lab, Cleveland State University

Research Assistant

Oct 2021 - May 2022

Cleveland, OH, United States

Intelligent Communications and Autonomous Systems Laboratory

  • 3D Bounding Box Prediction
  • Multi Camera Sensor Fusion
  • Python
  • PyTorch
  • OpenCV
  • Object Detection
  • YOLO

Indian Institute of Technology

Senior Project Assistant

Oct 2020 - Jan 2021

Jodhpur, India

Project: Smart Health Solutions for Rapid Mass Diagnosis for COVID-19

  • Arduino
  • Flask
  • MongoDB
  • Sensor Data Processing
  • Web Development

Accenture

Associate Software Engineer

Oct 2019 - July 2020

Bangalore, India

  • MapReduce
  • HQL
  • Spark Streaming
  • Big Data
  • Data Analysis

Unilever

Project Intern

Jan 2019 - June 2019

Bangalore, India

  • YOLO
  • Object Detection
  • HTML
  • CSS
  • JavaScript
  • Azure Cloud

Publications

2023

Multi-Camera 3D Object Detection for Autonomous Driving Using Deep Learning and Self-Attention Mechanism

A. Hazarika, A. Vyas, M. Rahmati, Y. Wang

IEEE Access 11, 64608-64620, 2023

Citations: 5

2018

Information Abuse in Twitter and Online Social Networks: A Survey

M.J. Akshay, N.A. Mohammed, A. Vyas, P.B. Shony, S.K. Correa

International Conference on Applications and Techniques in Information Security

Citations: 1