Overview

Conducting research on Vision Transformers (Google), Swin Transformers (Microsoft), and Hyperspectral Transformers for biometric authentication. Developed a high-accuracy authentication system using Transformer-based architectures, improving image classification and reducing false positives.

Key Projects & Achievements

• Improved biometric authentication accuracy through model optimization and custom loss functions.
• Enhanced image similarity measures using clustering and dimensionality reduction techniques.
• Contributed to academic research publications in deep learning and biometric security.

Overview

Working on AI-driven automation and healthcare solutions, focusing on web scraping, LLMs, and deep learning models. Developed intelligent systems to streamline research workflows, manage databases, and enhance patient diagnostics using AI.

Key Projects & Achievements

Academic Research Article Scraper

Automated research article extraction from Sage Journals, saving 200+ hours of manual work.

• Designed a MongoDB-backed scraper to store and manage research data.
• Enhanced searchability using LLM-based prompt extraction.

AI-Powered GI Disease Prediction & Chatbot

Developed an AI-based GI disease detection system using deep learning models on KVASIR dataset.

• Implemented MobileNet, DenseNet, VGG16, and ResNet for disease classification.
• Built an LLM-powered chatbot for personalized healthcare recommendations.

Overview

Worked on cloud automation, CI/CD, and Kubernetes infrastructure, improving deployment efficiency and system scalability. Led efforts in multi-cloud optimization, predictive analytics, and cost-efficient DevOps strategies, resulting in 85% faster deployments and $2M cost savings.

Key Projects & Achievements

Software Engineer 2 (April 2022 - July 2023)

Led OpsInsight & IICS cloud automation, optimizing cost, reliability, and scalability.

• Redesigned CI/CD pipelines using Jenkins, Terraform, AWS CDK, cutting region build time by 85%.
• Automated Kubernetes monitoring (Grafana, Prometheus), reducing EC2 downtime by 70%.
• Enhanced log processing via Kafka & Redshift, boosting efficiency by 300%.

Software Engineer 1 (March 2021 - April 2022)

Developed OpsInsight monitoring system, ensuring 99.999% system uptime.

• Automated multi-cloud deployments, reducing provisioning time by 60%.
• Implemented machine learning models for predictive analytics, improving error detection by 35%.
• Integrated Kafka & Redshift, processing 1B+ log messages daily.

Overview

Worked on Kubernetes orchestration, Python-based server optimizations, and database management, contributing to improved uptime, feature delivery, and issue resolution.

Key Projects & Achievements

• Demonstrated expertise in relational databases and object-oriented design.
• Proactively resolved customer issues, enhancing user experience and system performance.

Overview

Contributed to building cloud-native infrastructure for data platforms using AWS and Terraform. Focused on automation, reliability, and observability of containerized data ingestion systems.

Key Projects & Achievements

• Provisioned scalable backend systems using AWS ECS and ALB with auto-recovery and load balancing.
• Implemented infrastructure-as-code using Terraform to support dynamic scaling and high availability.
• Integrated Fluentd and ELK Stack for logging, backup, and alerting, improving data pipeline visibility and reliability.