Work Experience
Associate Software Engineer - Nations Benefits (AI-driven Healthcare Automation and Scalable Full-Stack Application Development)
Duration: July 2025 – Present
Summary:
- Development of scalable enterprise-grade full-stack applications with a focus on responsive UI and efficient backend integration
- The project includes AI-driven automation initiatives for healthcare applications using Large Language Models and intelligent document processing
Responsibilities:
- Developed scalable full-stack applications using .NET (C#), React.js, and SQL Server.
- Designed and integrated dynamic React.js frontend modules with backend services and REST APIs.
- Optimized query workflows for scalable application architecture and efficient data handling.
- Collaborated in Agile teams for feature development, debugging, testing, and deployment support.
- Contributed to AI-driven automation involving LLMs, Retrieval-Augmented Generation (RAG), and prompt-based workflows.
- Utilized Git for version control and collaborative development.
Technologies: .NET (C#), React.js, SQL Server, REST APIs, Git, Agile, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
Software Intern - Nations Benefits (Scalable Intelligent Applications and AI-driven Automation Systems)
Duration: October 2024 – May 2025
Summary:
- Internship project focused on building scalable intelligent applications and automation systems using AI technologies including Large Language Models, prompt engineering, and vector embedding pipelines
- The project aimed to enhance AI/ML model development and integration for enterprise applications
Responsibilities:
- Worked with Large Language Models (LLMs), ETA data pipelines, and AI-driven workflows.
- Developed scalable applications using .NET (C#), React.js, and SQL Server.
- Implemented prompt engineering, model optimization, and fine-tuning using LoRA, QLoRA, and quantization.
- Performed data preprocessing, feature engineering, and Exploratory Data Analysis (EDA) for AI/ML model support.
- Integrated AI/ML models using TensorFlow, PyTorch, Ollama, REST APIs, and cloud AI services.
- Contributed to deployment workflows, model monitoring, validation pipelines, and observability practices ensuring model fairness, privacy, and security.
Technologies: .NET (C#), React.js, SQL Server, Python, TensorFlow, PyTorch, Ollama, REST APIs, LoRA, QLoRA, Agile
Education
- B.E : CSE(AI & ML) – Osmania University, Neil Gogte Institute of Technology
Dec 2021 – Jan 2025
Upstaffer since June, 2026
