Available to hire
I am a software engineer with 7+ years of experience designing, developing, and deploying enterprise-scale web applications using the MERN stack and cloud-native solutions on GCP. I specialize in Generative AI, building LLM-powered apps with LangChain, Hugging Face Transformers, Retrieval-Augmented Generation, vector databases and OpenAI APIs to deliver intelligent, context-aware solutions.
I also bring a strong background in cloud architecture and DevOps across AWS, GCP, and Azure, with experience in distributed training and fine-tuning of LLMs, inference optimization, and scalable deployments. I enjoy collaborating with cross-functional teams to translate business goals into practical AI-forward solutions that are reliable, secure, and cost-efficient.
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Language
English
Fluent
Work Experience
AI Software Engineer at Johnson & Johnson
July 1, 2024 - PresentDesigned and deployed scalable AI-driven services for banking cybersecurity and fraud detection using React.js, Node.js, and Python; integrated LLMs via OpenAI APIs for intelligent data processing and conversational workflows. Implemented Retrieval-Augmented Generation (RAG) agents with LangChain, LangGraph, and vector databases (Pinecone, FAISS) to deliver context-aware responses, reducing hallucinations by 25% in enterprise AI applications. Built agentic AI workflows with LangChain’s AgentExecutor and OpenAI function calling, automating multi-step tasks such as document processing, SQL querying, and business intelligence reporting. Developed full-stack GenAI pipelines with React and FastAPI backends, deploying scalable inference services on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, Cloud Storage, BigQuery) using Triton Inference Server for low-latency deployments. Created benchmarking and monitoring dashboards to track hallucination rate, token usage, latency, a
Software Engineer at Walmart
June 1, 2024 - September 26, 2025Developed and optimized a healthcare patient portal application with Angular, React.js (TypeScript), Node.js (Express), and PostgreSQL, reducing page load times by 20% and ensuring seamless UI/UX. Built an NLP-driven virtual assistant using Python, TensorFlow, and AWS Lex to automate customer support tasks with real-time personalization and HIPAA-compliant EHR integration. Deployed predictive analytics models for medication adherence using PyTorch, Scikit-learn, and AWS SageMaker, achieving 85% accuracy and reducing missed refills by 15%. Improved system performance by redesigning PostgreSQL schemas and adding Redis caching, cutting query latency by 40%. Led cloud provisioning with Terraform and streamlined CI/CD with GitHub Actions, ECS, Lambda, and S3, reducing deployment time by 30%. Enabled real-time data synchronization with Apache Kafka, achieving 99.9% uptime and HIPAA governance. Implemented observability dashboards with Weights & Biases and Prometheus, monitoring model perform
Python Full stack developer at Homesite Insurance
April 1, 2023 - September 26, 2025Developed and optimized enterprise insurance web applications in the BFSI domain using MERN stack, Python and SQL, designing RESTful APIs to improve data exchange efficiency. Delivered scalable Azure-based cloud solutions reducing infrastructure costs by 30%. Built responsive React front-ends for banking and healthcare portals, automating CI/CD with Jenkins, GitHub Actions, and Azure. Implemented containerization with Docker and Kubernetes, enabling scalable microservices. Designed event-driven microservices with Apache Kafka and Azure for real-time fraud detection, and enhanced observability with ELK, Azure Monitor, and other dashboards. Collaborated with cross-functional teams in Agile/Scrum, contributing to rapid delivery and improved code quality through code reviews and testing.
Front-end Developer at Aditya Birla Groups
May 1, 2019 - September 26, 2025Developed dynamic and responsive front-end applications for retail and manufacturing platforms using Angular, React, Redux, and JavaScript/TypeScript. Collaborated with UX/UI teams to translate wireframes into pixel-perfect interfaces, improved performance via code-splitting and lazy loading, and built reusable component libraries to standardize design patterns. MIGRATED legacy jQuery to React, set up CI/CD pipelines with Jenkins, and established cross-browser compatibility. Enhanced testing with Jest and React Testing Library, and integrated RESTful APIs and GraphQL services for robust data flow.
AI Software Engineer at Johnson & Johnson
July 1, 2024 - PresentDesigned and developed scalable AI-driven services for banking cybersecurity and fraud detection using React.js, Node.js, and Python, integrating large language models via OpenAI APIs for intelligent data processing and conversational workflows. Implemented Retrieval-Augmented Generation (RAG) agents with LangChain, LangGraph, and vector databases (Pinecone, FAISS) to deliver context-aware responses, reducing hallucinations by 25% in enterprise AI applications. Leveraged Hugging Face Transformers, Accelerate, and DeepSpeed for distributed fine-tuning and optimization of LLMs, enabling domain adaptation for multilingual and enterprise-specific use cases. Built agentic AI workflows with LangChain’s AgentExecutor and OpenAI function calling, automating multi-step tasks such as document processing, SQL querying, and business intelligence reporting. Integrated Semantic Kernel and Llama Index to extend orchestration of LLMs, enabling hybrid pipelines that combined structured retrieval with
Software Engineer at Walmart
June 1, 2024 - September 26, 2025Developed and optimized a healthcare patient portal application with Angular, React.js (TypeScript), Node.js (Express), and PostgreSQL, reducing page load times by 20% while collaborating with designers and back-end teams to ensure seamless UI/UX. Built an NLP-driven virtual assistant using Reinforcement Learning, Python, TensorFlow, and AWS Lex, automating customer support tasks (e.g., prescription refills, scheduling) with real-time personalization and HIPAA-compliant EHR integration. Deployed predictive analytics models for medication adherence using PyTorch, Scikit-learn, and AWS SageMaker, achieving 85% accuracy and reducing missed refills by 15% based on patient records. Improved system performance by redesigning PostgreSQL schemas and implementing Redis caching, cutting query latency by 40%. Automated cloud infrastructure provisioning with Terraform and streamlined CI/CD pipelines via GitHub Actions, AWS ECS, Lambda, and S3, reducing deployment time by 30%. Enabled real-time pat
Python Full stack developer at Homesite Insurance
April 1, 2023 - September 26, 2025Developed and optimized enterprise insurance web applications in the BFSI domain using the MERN stack, Python and SQL, designing RESTful APIs that improved data exchange efficiency by 25%. Delivered scalable cloud solutions on Azure reducing infrastructure costs by 30%. Built responsive React-based front-end interfaces for banking and healthcare portals, enhancing cross-device user experience. Automated CI/CD workflows with Jenkins, GitHub Actions and Azure, reducing deployment time by 35% and improving release reliability. Implemented containerization using Docker and Kubernetes on Azure, streamlining deployments and ensuring scalability of microservices. Designed event-driven microservices with Apache Kafka and Azure, enabling real-time fraud detection in BFSI systems. Conducted code audits and implemented best practices for security and compliance, ensuring adherence to enterprise standards. Collaborated with cross-functional teams to gather requirements and translate them into tech
Front-end Developer at Aditya Birla Groups
May 1, 2019 - September 26, 2025Developed dynamic and responsive front-end applications for retail and manufacturing platforms using Angular, React, Redux, and JavaScript/TypeScript, improving load times and performance by 20%. Collaborated with UX/UI designers to translate wireframes into pixel-perfect, user-friendly interfaces, enhancing customer satisfaction across devices. Integrated RESTful APIs and GraphQL services, streamlining data flow and reducing client-side errors. Optimized rendering performance through code-splitting, lazy loading and React hooks resulting in faster navigation and improved SEO. Built reusable component libraries with Storybook and Material-UI standardizing design patterns and reducing development effort by 25%. Configured Webpack and Babel to optimize bundling and ensure cross-browser compatibility, reducing build size and improving deployment efficiency. Implemented unit and integration testing with Jest and React Testing Library ensuring robust, high-quality code with fewer production
Education
Qualifications
Industry Experience
Healthcare, Retail, Manufacturing, Financial Services, Software & Internet, Professional Services
Skills
Experience Level
Expert
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