About

I am a Software Engineer and Data Scientist with over five years of experience building enterprise-scale applications, distributed systems, and AI-powered solutions at Allstate India Pvt. Ltd. Over the course of my career, I have designed and deployed intelligent systems that streamlined business operations, reduced manual effort, and enabled data-driven decision-making across multiple business domains.

My technical expertise spans both software engineering and data science. On the engineering side, I have built scalable APIs, front-end applications in React.js, and automated CI/CD pipelines using Jenkins, Docker, and Ansible. On the data side, I have architected machine learning pipelines, fine-tuned large language models, and developed RAG-based semantic search engines that improved enterprise knowledge discovery by more than 40 percent.

I am proficient in Python, Java, SQL, and JavaScript, and I regularly use frameworks and tools such as TensorFlow, PyTorch, Pandas, NumPy, and React.js. My enterprise experience includes deploying and maintaining systems with ServiceNow, DataDog, Jenkins, and Ansible, ensuring reliability and maintainability across distributed environments.

My domain expertise covers Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, and Big Data Analytics. I have designed end-to-end AI solutionsfrom data ingestion and preprocessing, through model training and evaluation, to production deployment. For example, I developed a real-time anomaly detection pipeline that cut false positives by 70 percent and improved system uptime, and I built a LangChain-powered HR assistant that deflected 65 percent of support tickets and achieved 99.9 percent uptime in production.

At the heart of my work is a passion for building systems that are not only technically sound but also deliver measurable business value. Whether developing backend services, optimizing data workflows, or applying AI to real-world problems, I strive to create solutions that are scalable, reliable, and impactful.