AI/ML Software Engineer at Micron Technology

Led AI/ML initiatives including sentiment analysis and emotion detection, refining customer feedback analysis and improving product development strategies, with metrics improvement of 11%. Built AI solutions using OpenAI LLMs, embeddings, and retrieval-augmented generation (RAG). Applied K-Means, PCA, and BERT for feature extraction and emotion detection. Developed an ML-driven platform for genomic sequence analysis in Java for high-throughput data processing, contributing to novel genetic marker discovery. Implemented a person-detection system with multi-camera tracking using TensorFlow and OpenCV. Created automated deployment scripts with Docker and GitLab CI, standardizing environments and reducing deployment-related issues by 35%. Deployed AI models to GCP and implemented ML pipeline as part of MLOps. Designed and implemented RESTful APIs with Django REST Framework to enable seamless data exchange between frontend and backend systems, improving efficiency by 15%. Led cloud migratio

Python Developer at HP

Developed scalable RESTful APIs and microservices using Python (FastAPI, Django, Flask). Architected cloud-native applications leveraging AWS Lambda, SQS, SNS, and DynamoDB, reducing infrastructure costs by 30%. Built data-driven web applications with Django/Flask, PostgreSQL, and Redis. Created interactive dashboards and predictive analytics tools using Matplotlib and TensorFlow. Migrated monolithic applications to microservices with Docker and Kubernetes, reducing downtime by 20%. Implemented serverless solutions using AWS SAM and Lambda. Enhanced observability with Datadog and Sentry, reducing MTTR by 35%. Built ETL pipelines and automated web scraping with Scrapy, Beautiful Soup, and Pandas, improving data acquisition efficiency by 40%. Developed CI/CD pipelines with Jenkins and GitHub Actions using Terraform and Kubernetes for containerized deployments. Integrated Elasticsearch and RabbitMQ for real-time data processing and messaging. Mentored junior developers on TDD practices wi

Full Stack Developer at Dell Technologies

Developed and deployed microservices-based backend applications using FastAPI, Django, and Flask, improving API response time by 40%. Built responsive frontend applications with React, Angular, and Vue.js. Designed CI/CD pipelines with Jenkins and GitHub Actions, reducing deployment errors by 40%. Implemented Docker & Kubernetes orchestration for scalable deployments across AWS and GCP. Designed RESTful and GraphQL APIs with Nest.js, Express.js, and Next.js. Built ETL pipelines using Scrapy, Beautiful Soup, and Pandas. Applied SQLAlchemy and Alembic for ORM and database migrations. Created data visualization dashboards using Matplotlib and TensorFlow-powered analytics. Improved application monitoring by integrating Datadog and Sentry for proactive issue resolution. Optimized database queries across PostgreSQL, MySQL, MongoDB, and DynamoDB for better performance. Participated in internal PoCs leveraging GPT-based models for code generation, summarization, and knowledge retrieval.

AI / ML Software Engineer at Micron Technology

Designed and deployed scalable AI, NLP, and GenAI systems—including RAG-based conversational agents—using Python, OpenAI LLMs, LangChain, vector databases, and distributed data platforms (Spark, Kafka) to deliver real-time analytics, multilingual AI, and high-accuracy model inference across cloud environments.

AI Developer at HP

Led the end-to-end architecture and development of cloud-native, full-stack and data-intensive platforms—spanning location intelligence, IoT analytics, AI agents, and GenAI-powered reporting—using Python frameworks (FastAPI, Django, Flask), JavaScript/Node.js for tooling and full-stack features.